---
OA_place: repository
OA_type: green
_id: '20926'
abstract:
- lang: eng
  text: Most current machine learning interatomic potentials (MLIPs) rely on short-range
    approximations, without explicit treatment of long-range electrostatics. To address
    this, we recently developed the Latent Ewald Summation (LES) method, which infers
    electrostatic interactions, polarization, and Born effective charges (BECs), just
    by learning from energy and force training data. Here, we present LES as a standalone
    library, compatible with any short-range MLIP, and demonstrate its integration
    with methods such as MACE, NequIP, Allegro, CACE, CHGNet, and UMA. We benchmark
    LES-enhanced models on distinct systems, including bulk water, polar dipeptides,
    and gold dimer adsorption on defective substrates, and show that LES not only
    captures correct electrostatics but also improves accuracy. Additionally, we scale
    LES to large and chemically diverse data by training MACELES-OFF on the SPICE
    set containing molecules and clusters, making a universal MLIP with electrostatics
    for organic systems, including biomolecules. MACELES-OFF is more accurate than
    its short-range counterpart (MACE-OFF) trained on the same data set, predicts
    dipoles and BECs reliably, and has better descriptions of bulk liquids. By enabling
    efficient long-range electrostatics without directly training on electrical properties,
    LES paves the way for electrostatic foundation MLIPs.
acknowledgement: Research reported in this publication was supported by the National
  Institute Of General Medical Sciences of the National Institutes of Health under
  Award Number R35GM159986. The content is solely the responsibility of the authors
  and does not necessarily represent the official views of the National Institutes
  of Health. D.K. and B.C. acknowledge funding from Toyota Research Institute Synthesis
  Advanced Research Challenge. T.J.I., D.S.K. and P.Z. acknowledge funding from BIDMaP
  Postdoctoral Fellowship. T.J.I. used resources of the National Energy Research Scientific
  Computing Center (NERSC), a Department of Energy Office of Science User Facility
  using NERSC award DOEERCAP0031751 ′GenAI@NERSC’. The authors thank Bowen Deng for
  valuable discussions on MatGL implementation, and thank Gabor Csanyi for stimulating
  discussions.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Dongjin
  full_name: Kim, Dongjin
  last_name: Kim
- first_name: Xiaoyu
  full_name: Wang, Xiaoyu
  id: 8dff9c62-32b0-11ee-9fa8-fc73025e10f3
  last_name: Wang
- first_name: Santiago
  full_name: Vargas, Santiago
  last_name: Vargas
- first_name: Peichen
  full_name: Zhong, Peichen
  last_name: Zhong
- first_name: Daniel S.
  full_name: King, Daniel S.
  last_name: King
- first_name: Theo Jaffrelot
  full_name: Inizan, Theo Jaffrelot
  last_name: Inizan
- first_name: Bingqing
  full_name: Cheng, Bingqing
  id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
  last_name: Cheng
  orcid: 0000-0002-3584-9632
citation:
  ama: Kim D, Wang X, Vargas S, et al. A universal augmentation framework for long-range
    electrostatics in machine learning interatomic potentials. <i>Journal of Chemical
    Theory and Computation</i>. 2025;21(24):12709-12724. doi:<a href="https://doi.org/10.1021/acs.jctc.5c01400">10.1021/acs.jctc.5c01400</a>
  apa: Kim, D., Wang, X., Vargas, S., Zhong, P., King, D. S., Inizan, T. J., &#38;
    Cheng, B. (2025). A universal augmentation framework for long-range electrostatics
    in machine learning interatomic potentials. <i>Journal of Chemical Theory and
    Computation</i>. American Chemical Society. <a href="https://doi.org/10.1021/acs.jctc.5c01400">https://doi.org/10.1021/acs.jctc.5c01400</a>
  chicago: Kim, Dongjin, Xiaoyu Wang, Santiago Vargas, Peichen Zhong, Daniel S. King,
    Theo Jaffrelot Inizan, and Bingqing Cheng. “A Universal Augmentation Framework
    for Long-Range Electrostatics in Machine Learning Interatomic Potentials.” <i>Journal
    of Chemical Theory and Computation</i>. American Chemical Society, 2025. <a href="https://doi.org/10.1021/acs.jctc.5c01400">https://doi.org/10.1021/acs.jctc.5c01400</a>.
  ieee: D. Kim <i>et al.</i>, “A universal augmentation framework for long-range electrostatics
    in machine learning interatomic potentials,” <i>Journal of Chemical Theory and
    Computation</i>, vol. 21, no. 24. American Chemical Society, pp. 12709–12724,
    2025.
  ista: Kim D, Wang X, Vargas S, Zhong P, King DS, Inizan TJ, Cheng B. 2025. A universal
    augmentation framework for long-range electrostatics in machine learning interatomic
    potentials. Journal of Chemical Theory and Computation. 21(24), 12709–12724.
  mla: Kim, Dongjin, et al. “A Universal Augmentation Framework for Long-Range Electrostatics
    in Machine Learning Interatomic Potentials.” <i>Journal of Chemical Theory and
    Computation</i>, vol. 21, no. 24, American Chemical Society, 2025, pp. 12709–24,
    doi:<a href="https://doi.org/10.1021/acs.jctc.5c01400">10.1021/acs.jctc.5c01400</a>.
  short: D. Kim, X. Wang, S. Vargas, P. Zhong, D.S. King, T.J. Inizan, B. Cheng, Journal
    of Chemical Theory and Computation 21 (2025) 12709–12724.
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: The training sets, training scripts, and trained potentials
  are available at https://github.com/ChengUCB/les_fit. The LES library is publicly
  available at https://github.com/ChengUCB/les. The CACE package with the LES implementation
  is available at https://github.com/BingqingCheng/cace. The MACE package with the
  LES implementation is available at https://github.com/ACEsuit/mace. The NequIP and
  Allegro LES extension package is available at https://github.com/ChengUCB/NequIP-LES.
  The MatGL package with the LES implementation is available at https://github.com/ChengUCB/matgl.
  The UMA package with the LES implementation is available at https://github.com/santi921/fairchem/tree/les_branch.
date_created: 2026-01-04T23:01:33Z
date_published: 2025-12-10T00:00:00Z
date_updated: 2026-08-07T09:35:25Z
day: '10'
department:
- _id: GradSch
- _id: BiCh
doi: 10.1021/acs.jctc.5c01400
external_id:
  arxiv:
  - '2507.14302'
  pmid:
  - '41368735 '
fulldoi: https://doi.org/10.1021/acs.jctc.5c01400
intvolume: '        21'
issue: '24'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2507.14302
month: '12'
oa: 1
oa_version: Preprint
page: 12709-12724
pmid: 1
publication: Journal of Chemical Theory and Computation
publication_identifier:
  eissn:
  - 1549-9626
  issn:
  - 1549-9618
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: A universal augmentation framework for long-range electrostatics in machine
  learning interatomic potentials
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 21
year: '2025'
...
---
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '20990'
abstract:
- lang: eng
  text: Modeling the response of material and chemical systems to electric fields
    remains a longstanding challenge. Machine learning interatomic potentials (MLIPs)
    offer an efficient and scalable alternative to quantum mechanical methods, but
    do not by themselves incorporate electrical response. Here, we show that polarization
    and Born effective charge (BEC) tensors can be directly extracted from long-range
    MLIPs within the Latent Ewald Summation (LES) framework, solely by learning from
    energy and force data. Using this approach, we predict the infrared spectra of
    bulk water under zero or finite external electric fields, ionic conductivities
    of high-pressure superionic ice, and the phase transition and hysteresis in ferroelectric
    PbTiO3 perovskite. This work thus extends the capability of MLIPs to predict electrical
    response –without training on charges or polarization or BECs– and enables accurate
    modeling of electric-field-driven processes in diverse systems at scale.
acknowledgement: The authors thank for valuable discussions with Pinchen Xie, David
  Limmer, Jeff Neaton, and Greg Voth. The authors thank Sebastien Hamel for providing
  the DFT MD trajectories for superionic water, and help clarifying questions related
  to the pseudopotentials. The authors thank Federico Grasselli and Stefano Baroni
  for providing data and notebooks for computing the conductivity of a molten salt.
  This research used the Savio computational cluster resource provided by the Berkeley
  Research Computing program at the University of California, Berkeley (supported
  by the UC Berkeley Chancellor, Vice Chancellor for Research, and Chief Information
  Officer). D.S.K. and P.Z. acknowledge funding from the BIDMaP Postdoctoral Fellowship.
article_number: '384'
article_processing_charge: Yes
article_type: original
author:
- first_name: Peichen
  full_name: Zhong, Peichen
  last_name: Zhong
- first_name: Dongjin
  full_name: Kim, Dongjin
  last_name: Kim
- first_name: Daniel S.
  full_name: King, Daniel S.
  last_name: King
- first_name: Bingqing
  full_name: Cheng, Bingqing
  id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
  last_name: Cheng
  orcid: 0000-0002-3584-9632
citation:
  ama: Zhong P, Kim D, King DS, Cheng B. Machine learning interatomic potential can
    infer electrical response. <i>npj Computational Materials</i>. 2025;11. doi:<a
    href="https://doi.org/10.1038/s41524-025-01911-z">10.1038/s41524-025-01911-z</a>
  apa: Zhong, P., Kim, D., King, D. S., &#38; Cheng, B. (2025). Machine learning interatomic
    potential can infer electrical response. <i>Npj Computational Materials</i>. Springer
    Nature. <a href="https://doi.org/10.1038/s41524-025-01911-z">https://doi.org/10.1038/s41524-025-01911-z</a>
  chicago: Zhong, Peichen, Dongjin Kim, Daniel S. King, and Bingqing Cheng. “Machine
    Learning Interatomic Potential Can Infer Electrical Response.” <i>Npj Computational
    Materials</i>. Springer Nature, 2025. <a href="https://doi.org/10.1038/s41524-025-01911-z">https://doi.org/10.1038/s41524-025-01911-z</a>.
  ieee: P. Zhong, D. Kim, D. S. King, and B. Cheng, “Machine learning interatomic
    potential can infer electrical response,” <i>npj Computational Materials</i>,
    vol. 11. Springer Nature, 2025.
  ista: Zhong P, Kim D, King DS, Cheng B. 2025. Machine learning interatomic potential
    can infer electrical response. npj Computational Materials. 11, 384.
  mla: Zhong, Peichen, et al. “Machine Learning Interatomic Potential Can Infer Electrical
    Response.” <i>Npj Computational Materials</i>, vol. 11, 384, Springer Nature,
    2025, doi:<a href="https://doi.org/10.1038/s41524-025-01911-z">10.1038/s41524-025-01911-z</a>.
  short: P. Zhong, D. Kim, D.S. King, B. Cheng, Npj Computational Materials 11 (2025).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: The training sets, training scripts, BEC inference scripts,
  and trained CACE potentials are available at https://github.com/BingqingCheng/LES-BEC.
date_created: 2026-01-15T12:17:07Z
date_published: 2025-12-29T00:00:00Z
date_updated: 2026-08-07T09:38:09Z
day: '29'
ddc:
- '540'
department:
- _id: BiCh
doi: 10.1038/s41524-025-01911-z
file:
- access_level: open_access
  checksum: cc999804ba3bfed809ae46c73869e4e3
  content_type: application/pdf
  creator: dernst
  date_created: 2026-01-20T07:22:04Z
  date_updated: 2026-01-20T07:22:04Z
  file_id: '21005'
  file_name: 2025_npj_Zhong.pdf
  file_size: 2686255
  relation: main_file
  success: 1
file_date_updated: 2026-01-20T07:22:04Z
fulldoi: https://doi.org/10.1038/s41524-025-01911-z
has_accepted_license: '1'
intvolume: '        11'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
publication: npj Computational Materials
publication_identifier:
  eissn:
  - 2057-3960
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: yes
scopus_import: '1'
status: public
supplementarymaterial: no
title: Machine learning interatomic potential can infer electrical response
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 11
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20492'
abstract:
- lang: eng
  text: The glassy thermal conductivities observed in crystalline inorganic perovskites
    such as Cs3Bi2I6Cl3 are perplexing and lacking theoretical explanations. Here,
    we ﬁrst experimentally measure its thermal transport behavior from 20 to 300 K,
    after synthesizing Cs3Bi2I6Cl3 single crystals. Using path-integral molecular
    dynamics simulations driven by machine learning potentials, we reveal that Cs3Bi2I6Cl3
    has large lattice distortions at low temperatures, which may be related to the
    large atomic size mismatch. Employing the Wigner formulation of thermal transport,
    we reproduce theexperimental thermal conductivities based on lattice-distorted
    structures. This studythus provides a framework for predicting and understanding
    glassy thermal transportin materials with strong lattice disorder.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: Z.Z. acknowledges the European Union’s Horizon2020 research and innovation
  programme under the Marie Skłodowska-Curie Grant Agreement No. 101034413. We acknowledge
  the high-performance computing facilities offered by Institute of Science and Technology
  Austria and The University of Hong Kong.
article_processing_charge: No
article_type: original
author:
- first_name: Zezhu
  full_name: Zeng, Zezhu
  id: 54a2c730-803f-11ed-ab7e-95b29d2680e7
  last_name: Zeng
  orcid: 0000-0001-5126-4928
- first_name: Zheyong
  full_name: Fan, Zheyong
  last_name: Fan
- first_name: Michele
  full_name: Simoncelli, Michele
  last_name: Simoncelli
- first_name: Chen
  full_name: Chen, Chen
  last_name: Chen
- first_name: Ting
  full_name: Liang, Ting
  last_name: Liang
- first_name: Yue
  full_name: Chen, Yue
  last_name: Chen
- first_name: Geoff
  full_name: Thornton, Geoff
  last_name: Thornton
- first_name: Bingqing
  full_name: Cheng, Bingqing
  id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
  last_name: Cheng
  orcid: 0000-0002-3584-9632
citation:
  ama: Zeng Z, Fan Z, Simoncelli M, et al. Lattice distortion leads to glassy thermal
    transport in crystalline Cs3Bi2I6Cl3. <i>Proceedings of the National Academy of
    Sciences</i>. 2025;122(41):e2415664122. doi:<a href="https://doi.org/10.1073/pnas.2415664122">10.1073/pnas.2415664122</a>
  apa: Zeng, Z., Fan, Z., Simoncelli, M., Chen, C., Liang, T., Chen, Y., … Cheng,
    B. (2025). Lattice distortion leads to glassy thermal transport in crystalline
    Cs3Bi2I6Cl3. <i>Proceedings of the National Academy of Sciences</i>. National
    Academy of Sciences. <a href="https://doi.org/10.1073/pnas.2415664122">https://doi.org/10.1073/pnas.2415664122</a>
  chicago: Zeng, Zezhu, Zheyong Fan, Michele Simoncelli, Chen Chen, Ting Liang, Yue
    Chen, Geoff Thornton, and Bingqing Cheng. “Lattice Distortion Leads to Glassy
    Thermal Transport in Crystalline Cs3Bi2I6Cl3.” <i>Proceedings of the National
    Academy of Sciences</i>. National Academy of Sciences, 2025. <a href="https://doi.org/10.1073/pnas.2415664122">https://doi.org/10.1073/pnas.2415664122</a>.
  ieee: Z. Zeng <i>et al.</i>, “Lattice distortion leads to glassy thermal transport
    in crystalline Cs3Bi2I6Cl3,” <i>Proceedings of the National Academy of Sciences</i>,
    vol. 122, no. 41. National Academy of Sciences, p. e2415664122, 2025.
  ista: Zeng Z, Fan Z, Simoncelli M, Chen C, Liang T, Chen Y, Thornton G, Cheng B.
    2025. Lattice distortion leads to glassy thermal transport in crystalline Cs3Bi2I6Cl3.
    Proceedings of the National Academy of Sciences. 122(41), e2415664122.
  mla: Zeng, Zezhu, et al. “Lattice Distortion Leads to Glassy Thermal Transport in
    Crystalline Cs3Bi2I6Cl3.” <i>Proceedings of the National Academy of Sciences</i>,
    vol. 122, no. 41, National Academy of Sciences, 2025, p. e2415664122, doi:<a href="https://doi.org/10.1073/pnas.2415664122">10.1073/pnas.2415664122</a>.
  short: Z. Zeng, Z. Fan, M. Simoncelli, C. Chen, T. Liang, Y. Chen, G. Thornton,
    B. Cheng, Proceedings of the National Academy of Sciences 122 (2025) e2415664122.
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: Primitive Data Types have been deposited in GitHub (Cs3Bi2I6Cl3_heat_conductivity)
  (https://github.com/ZengZezhu/Cs3Bi2I6Cl3_heat_conductivity) (74).
date_created: 2025-10-19T22:01:31Z
date_published: 2025-10-14T00:00:00Z
date_updated: 2026-08-07T10:11:03Z
day: '14'
ddc:
- '540'
department:
- _id: BiCh
doi: 10.1073/pnas.2415664122
ec_funded: 1
external_id:
  isi:
  - '001600415200001'
  pmid:
  - '41052324'
file:
- access_level: open_access
  checksum: 3f9cd0d67ffe9110fb238407671584b7
  content_type: application/pdf
  creator: dernst
  date_created: 2025-10-21T10:02:15Z
  date_updated: 2025-10-21T10:02:15Z
  file_id: '20513'
  file_name: 2025_PNAS_Zeng.pdf
  file_size: 12244843
  relation: main_file
  success: 1
file_date_updated: 2025-10-21T10:02:15Z
fulldoi: https://doi.org/10.1073/pnas.2415664122
has_accepted_license: '1'
intvolume: '       122'
isi: 1
issue: '41'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '10'
oa: 1
oa_version: Published Version
page: e2415664122
pmid: 1
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Proceedings of the National Academy of Sciences
publication_identifier:
  eissn:
  - 1091-6490
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: https://github.com/ZengZezhu/Cs3Bi2I6Cl3_heat_conductivity
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Lattice distortion leads to glassy thermal transport in crystalline Cs3Bi2I6Cl3
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 122
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '20011'
abstract:
- lang: eng
  text: Heat transport in glasses over a wide temperature range is critical for applications
    in gate dielectrics and thermal insulators but remains poorly understood due to
    the challenges in modeling vibrational anharmonicity and configurational dynamics
    across the glass transition. Recent predictions show an unusual decrease in thermal
    conductivity (κ) with temperature in amorphous hafnia (a-HfO2), contrasting with
    the typical trend in glasses. Using molecular dynamics with a machine-learning-based
    neuroevolution potential, we compute κ of a-HfO2 from 50 K to 2000 K. At low temperatures,
    the Wigner transport equation captures both anharmonicity and quantum statistics.
    Above 1200 K, atomic diffusion invalidates the quasiparticle picture, and we resort
    to the Green–Kubo method to capture convective transport. We further extend the
    Wigner transport equation to supercooled a-HfO2, revealing the crucial role of
    low-frequency modes in facilitating heat transport. The computed κ, based on both
    Green–Kubo and Wigner transport theories, increases continuously with temperature
    up to 2000 K.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: We thank Ludovic Berthier for fruitful discussions and Ting Liang
  for providing the initial structures of a-SiO2. Z.Z. acknowledges funding from the
  European Union’s Horizon 2020 Research and Innovation Programme, under Marie Skłodowska-Curie
  grant agreement No. 101034413. The authors also acknowledge the research computing
  facilities provided by HPC ISTA and ITS HKU.
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Zezhu
  full_name: Zeng, Zezhu
  id: 54a2c730-803f-11ed-ab7e-95b29d2680e7
  last_name: Zeng
  orcid: 0000-0001-5126-4928
- first_name: Xia
  full_name: Liang, Xia
  last_name: Liang
- first_name: Zheyong
  full_name: Fan, Zheyong
  last_name: Fan
- first_name: Yue
  full_name: Chen, Yue
  last_name: Chen
- first_name: Michele
  full_name: Simoncelli, Michele
  last_name: Simoncelli
- first_name: Bingqing
  full_name: Cheng, Bingqing
  id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
  last_name: Cheng
  orcid: 0000-0002-3584-9632
citation:
  ama: Zeng Z, Liang X, Fan Z, Chen Y, Simoncelli M, Cheng B. Thermal transport of
    amorphous hafnia across the glass transition. <i>ACS Materials Letters</i>. 2025:2695-2701.
    doi:<a href="https://doi.org/10.1021/acsmaterialslett.5c00263">10.1021/acsmaterialslett.5c00263</a>
  apa: Zeng, Z., Liang, X., Fan, Z., Chen, Y., Simoncelli, M., &#38; Cheng, B. (2025).
    Thermal transport of amorphous hafnia across the glass transition. <i>ACS Materials
    Letters</i>. American Chemical Society. <a href="https://doi.org/10.1021/acsmaterialslett.5c00263">https://doi.org/10.1021/acsmaterialslett.5c00263</a>
  chicago: Zeng, Zezhu, Xia Liang, Zheyong Fan, Yue Chen, Michele Simoncelli, and
    Bingqing Cheng. “Thermal Transport of Amorphous Hafnia across the Glass Transition.”
    <i>ACS Materials Letters</i>. American Chemical Society, 2025. <a href="https://doi.org/10.1021/acsmaterialslett.5c00263">https://doi.org/10.1021/acsmaterialslett.5c00263</a>.
  ieee: Z. Zeng, X. Liang, Z. Fan, Y. Chen, M. Simoncelli, and B. Cheng, “Thermal
    transport of amorphous hafnia across the glass transition,” <i>ACS Materials Letters</i>.
    American Chemical Society, pp. 2695–2701, 2025.
  ista: Zeng Z, Liang X, Fan Z, Chen Y, Simoncelli M, Cheng B. 2025. Thermal transport
    of amorphous hafnia across the glass transition. ACS Materials Letters., 2695–2701.
  mla: Zeng, Zezhu, et al. “Thermal Transport of Amorphous Hafnia across the Glass
    Transition.” <i>ACS Materials Letters</i>, American Chemical Society, 2025, pp.
    2695–701, doi:<a href="https://doi.org/10.1021/acsmaterialslett.5c00263">10.1021/acsmaterialslett.5c00263</a>.
  short: Z. Zeng, X. Liang, Z. Fan, Y. Chen, M. Simoncelli, B. Cheng, ACS Materials
    Letters (2025) 2695–2701.
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: All necessary source data files generated for this study
  are available in the GitHub repository https://github.com/ZengZezhu/heat-conductivity-a-HfO2.
date_created: 2025-07-13T22:01:24Z
date_published: 2025-06-30T00:00:00Z
date_updated: 2026-08-07T10:06:48Z
day: '30'
ddc:
- '530'
department:
- _id: BiCh
doi: 10.1021/acsmaterialslett.5c00263
ec_funded: 1
external_id:
  isi:
  - '001520226300001'
file:
- access_level: open_access
  checksum: d61e63439ddeaef29e9a2ee0f65c4ec1
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-30T09:13:06Z
  date_updated: 2025-12-30T09:13:06Z
  file_id: '20903'
  file_name: 2025_ACSMaterialsLetters_Zeng.pdf
  file_size: 2402059
  relation: main_file
  success: 1
file_date_updated: 2025-12-30T09:13:06Z
fulldoi: https://doi.org/10.1021/acsmaterialslett.5c00263
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 2695-2701
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: ACS Materials Letters
publication_identifier:
  eissn:
  - 2639-4979
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: https://github.com/ZengZezhu/heat-conductivity-a-HfO2
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Thermal transport of amorphous hafnia across the glass transition
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '19495'
abstract:
- lang: eng
  text: Machine learning interatomic potentials (MLIPs) often neglect long-range interactions,
    such as electrostatic and dispersion forces. In this work, we introduce a straightforward
    and efficient method to account for long-range interactions by learning a hidden
    variable from local atomic descriptors and applying an Ewald summation to this
    variable. We demonstrate that in systems including charged and polar molecular
    dimers, bulk water, and water-vapor interface, standard short-ranged MLIPs can
    lead to unphysical predictions even when employing message passing. The long-range
    models effectively eliminate these artifacts, with only about twice the computational
    cost of short-range MLIPs.
acknowledgement: B. C. thanks David Limmer for providing the water slab dataset, and
  Carolin Faller for the NaCl dataset.
article_number: '80'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Bingqing
  full_name: Cheng, Bingqing
  id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
  last_name: Cheng
  orcid: 0000-0002-3584-9632
citation:
  ama: Cheng B. Latent Ewald summation for machine learning of long-range interactions.
    <i>npj Computational Materials</i>. 2025;11. doi:<a href="https://doi.org/10.1038/s41524-025-01577-7">10.1038/s41524-025-01577-7</a>
  apa: Cheng, B. (2025). Latent Ewald summation for machine learning of long-range
    interactions. <i>Npj Computational Materials</i>. Springer Nature. <a href="https://doi.org/10.1038/s41524-025-01577-7">https://doi.org/10.1038/s41524-025-01577-7</a>
  chicago: Cheng, Bingqing. “Latent Ewald Summation for Machine Learning of Long-Range
    Interactions.” <i>Npj Computational Materials</i>. Springer Nature, 2025. <a href="https://doi.org/10.1038/s41524-025-01577-7">https://doi.org/10.1038/s41524-025-01577-7</a>.
  ieee: B. Cheng, “Latent Ewald summation for machine learning of long-range interactions,”
    <i>npj Computational Materials</i>, vol. 11. Springer Nature, 2025.
  ista: Cheng B. 2025. Latent Ewald summation for machine learning of long-range interactions.
    npj Computational Materials. 11, 80.
  mla: Cheng, Bingqing. “Latent Ewald Summation for Machine Learning of Long-Range
    Interactions.” <i>Npj Computational Materials</i>, vol. 11, 80, Springer Nature,
    2025, doi:<a href="https://doi.org/10.1038/s41524-025-01577-7">10.1038/s41524-025-01577-7</a>.
  short: B. Cheng, Npj Computational Materials 11 (2025).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: The training scripts, trained CACE potentials, and MD input
  files are available at https://github.com/BingqingCheng/cace-lr-fit.
date_created: 2025-04-06T22:01:32Z
date_published: 2025-03-26T00:00:00Z
date_updated: 2026-08-07T10:04:17Z
day: '26'
ddc:
- '000'
department:
- _id: BiCh
doi: 10.1038/s41524-025-01577-7
external_id:
  arxiv:
  - '2408.15165'
  isi:
  - '001453622900002'
file:
- access_level: open_access
  checksum: cc99b7407a12139d9b2d8457961935ae
  content_type: application/pdf
  creator: dernst
  date_created: 2025-04-08T09:34:58Z
  date_updated: 2025-04-08T09:34:58Z
  file_id: '19528'
  file_name: 2025_npjCompMaterials_Cheng.pdf
  file_size: 1608315
  relation: main_file
  success: 1
file_date_updated: 2025-04-08T09:34:58Z
fulldoi: https://doi.org/10.1038/s41524-025-01577-7
has_accepted_license: '1'
intvolume: '        11'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
publication: npj Computational Materials
publication_identifier:
  eissn:
  - 2057-3960
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: unclear
scopus_import: '1'
status: public
supplementarymaterial: no
title: Latent Ewald summation for machine learning of long-range interactions
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 11
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '20702'
abstract:
- lang: eng
  text: Qualitative and quantitative orbital properties such as bonding/antibonding
    character, localization, and orbital energies are critical to how chemists understand
    reactivity, catalysis, and excited-state behavior. Despite this, representations
    of orbitals in deep learning models have been very underdeveloped relative to
    representations of molecular geometries and Hamiltonians. Here, we apply state-of-the-art
    equivariant deep learning architectures to the task of assigning global labels
    to orbitals, namely energies characterizations, given the molecular coefficients
    from Hartree–Fock or density functional theory. The architecture we have developed,
    the Cartesian Equivariant Orbital Network (CEONET), shows how molecular orbital
    coefficients are readily featurized as equivariant node features common to all
    graph-based machine-learned potentials. We find that CEONET performs well at predicting
    difficult quantitative labels such as the orbital energy and orbital entropy.
    Furthermore, we find that the CEONET representation provides an intuitive latent
    space for differentiating orbital character for the qualitative assignment of
    e.g. bonding or antibonding character. In addition to providing a useful representation
    for further integrating deep learning with electronic structure theory, we expect
    CEONET to be useful for automatizing and interpreting the results of advanced
    electronic structure methods such as complete active space self-consistent field
    theory. In particular, the ability of CEONET to infer multireference character
    via the orbital entropy paves the way toward the machine-learned selection of
    active spaces.
acknowledgement: This work is supported as part of the Catalyst Design for Decarbonization
  Center, an Energy Frontier Research Center funded by the U.S. Department of Energy,
  Office of Science, Basic Energy Sciences under award no. DE-SC0023383. We thank
  the Research Computing Center at the University of Chicago and for access to computational
  resources. Additionally, this research used the Savio computational cluster resource
  provided by the Berkeley Research Computing program at the University of California
  (UC), Berkeley (supported by the UC Berkeley Chancellor, Vice Chancellor for Research,
  and Chief Information Officer). Furthermore, we thank Matthew Hennefarth and Matt
  Hermes for useful discussions.
article_number: e2510235122
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Daniel S.
  full_name: King, Daniel S.
  last_name: King
- first_name: Daniel
  full_name: Grzenda, Daniel
  last_name: Grzenda
- first_name: Ray
  full_name: Zhu, Ray
  last_name: Zhu
- first_name: Nathaniel
  full_name: Hudson, Nathaniel
  last_name: Hudson
- first_name: Ian
  full_name: Foster, Ian
  last_name: Foster
- first_name: Bingqing
  full_name: Cheng, Bingqing
  id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
  last_name: Cheng
  orcid: 0000-0002-3584-9632
- first_name: Laura
  full_name: Gagliardi, Laura
  last_name: Gagliardi
citation:
  ama: King DS, Grzenda D, Zhu R, et al. Cartesian equivariant representations for
    learning and understanding molecular orbitals. <i>Proceedings of the National
    Academy of Sciences</i>. 2025;122(48). doi:<a href="https://doi.org/10.1073/pnas.2510235122">10.1073/pnas.2510235122</a>
  apa: King, D. S., Grzenda, D., Zhu, R., Hudson, N., Foster, I., Cheng, B., &#38;
    Gagliardi, L. (2025). Cartesian equivariant representations for learning and understanding
    molecular orbitals. <i>Proceedings of the National Academy of Sciences</i>. National
    Academy of Sciences. <a href="https://doi.org/10.1073/pnas.2510235122">https://doi.org/10.1073/pnas.2510235122</a>
  chicago: King, Daniel S., Daniel Grzenda, Ray Zhu, Nathaniel Hudson, Ian Foster,
    Bingqing Cheng, and Laura Gagliardi. “Cartesian Equivariant Representations for
    Learning and Understanding Molecular Orbitals.” <i>Proceedings of the National
    Academy of Sciences</i>. National Academy of Sciences, 2025. <a href="https://doi.org/10.1073/pnas.2510235122">https://doi.org/10.1073/pnas.2510235122</a>.
  ieee: D. S. King <i>et al.</i>, “Cartesian equivariant representations for learning
    and understanding molecular orbitals,” <i>Proceedings of the National Academy
    of Sciences</i>, vol. 122, no. 48. National Academy of Sciences, 2025.
  ista: King DS, Grzenda D, Zhu R, Hudson N, Foster I, Cheng B, Gagliardi L. 2025.
    Cartesian equivariant representations for learning and understanding molecular
    orbitals. Proceedings of the National Academy of Sciences. 122(48), e2510235122.
  mla: King, Daniel S., et al. “Cartesian Equivariant Representations for Learning
    and Understanding Molecular Orbitals.” <i>Proceedings of the National Academy
    of Sciences</i>, vol. 122, no. 48, e2510235122, National Academy of Sciences,
    2025, doi:<a href="https://doi.org/10.1073/pnas.2510235122">10.1073/pnas.2510235122</a>.
  short: D.S. King, D. Grzenda, R. Zhu, N. Hudson, I. Foster, B. Cheng, L. Gagliardi,
    Proceedings of the National Academy of Sciences 122 (2025).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: Code has been deposited to https://github.com/GagliardiGroup/CEONet
  (83). Data has been deposited to https://doi.org/10.5281/zenodo.16934624 (84).
date_created: 2025-11-30T23:02:06Z
date_published: 2025-12-02T00:00:00Z
date_updated: 2026-08-07T10:27:53Z
day: '02'
ddc:
- '540'
department:
- _id: BiCh
doi: 10.1073/pnas.2510235122
external_id:
  pmid:
  - '41269783'
file:
- access_level: open_access
  checksum: 58051539a884c7a97306fd3afdb539ac
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-01T08:41:32Z
  date_updated: 2025-12-01T08:41:32Z
  file_id: '20719'
  file_name: 2025_PNAS_King.pdf
  file_size: 27607870
  relation: main_file
  success: 1
file_date_updated: 2025-12-01T08:41:32Z
fulldoi: https://doi.org/10.1073/pnas.2510235122
has_accepted_license: '1'
intvolume: '       122'
issue: '48'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
publication: Proceedings of the National Academy of Sciences
publication_identifier:
  eissn:
  - 1091-6490
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: 'https://github.com/GagliardiGroup/CEONet '
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Cartesian equivariant representations for learning and understanding molecular
  orbitals
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 122
year: '2025'
...
---
OA_type: closed access
_id: '20704'
abstract:
- lang: eng
  text: Generative models have advanced significantly in sampling material systems
    with continuous variables, such as atomistic structures. However, their application
    to discrete variables, like atom types or spin states, remains underexplored.
    In this work, we introduce a discrete flow matching model, tailored for systems
    with discrete phase-space coordinates (e.g., the Ising model or a multicomponent
    system on a lattice). This approach enables a single model to sample free energy
    surfaces over a wide temperature range with minimal training overhead, and the
    model generation is scalable to larger lattice sizes than those in the training
    set. We demonstrate our approach on the 2D Ising model, showing efficient and
    reliable free energy sampling. These results highlight the potential of flow matching
    for low-cost, scalable free energy sampling in discrete systems and suggest promising
    extensions to alchemical degrees of freedom in crystalline materials. The codebase
    developed for this work is openly available at https://github.com/tuoping/alchemicalFES.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: P.T. acknowledges funding from FFG MAGNIFICO and the BIDMaP Postdoctoral
  Fellowship. Z.Z. acknowledges funding from the European Union’s Horizon 2020 research
  and innovation program under the Marie Skłodowska-Curie grant agreement No. 101034413.
  The authors acknowledge the research computing facilities provided by the Institute
  of Science and Technology Austria (ISTA), and resources of the National Energy Research
  Scientific Computing Center (NERSC), a Department of Energy Office of Science User
  Facility using NERSC award DOEERCAP0031751 ’GenAI@NERSC’. P.T. acknowledges valued
  discussions with Dr. Daniel King, Dr. Lei Wang, and Dr. Fuzhi Dai.
article_processing_charge: No
article_type: original
author:
- first_name: Ping
  full_name: Tuo, Ping
  id: 6e5644c0-c180-11ed-a2da-facc4c9f4f09
  last_name: Tuo
- first_name: Zezhu
  full_name: Zeng, Zezhu
  id: 54a2c730-803f-11ed-ab7e-95b29d2680e7
  last_name: Zeng
  orcid: 0000-0001-5126-4928
- first_name: Jiale
  full_name: Chen, Jiale
  id: 4d0a9064-1ff6-11ee-9fa6-ec046c604785
  last_name: Chen
  orcid: 0000-0001-5337-5875
- first_name: Bingqing
  full_name: Cheng, Bingqing
  id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
  last_name: Cheng
  orcid: 0000-0002-3584-9632
citation:
  ama: Tuo P, Zeng Z, Chen J, Cheng B. Scalable multitemperature free energy sampling
    of classical Ising spin states. <i>Journal of Chemical Theory and Computation</i>.
    2025;21(22):11427-11435. doi:<a href="https://doi.org/10.1021/acs.jctc.5c01248">10.1021/acs.jctc.5c01248</a>
  apa: Tuo, P., Zeng, Z., Chen, J., &#38; Cheng, B. (2025). Scalable multitemperature
    free energy sampling of classical Ising spin states. <i>Journal of Chemical Theory
    and Computation</i>. American Chemical Society. <a href="https://doi.org/10.1021/acs.jctc.5c01248">https://doi.org/10.1021/acs.jctc.5c01248</a>
  chicago: Tuo, Ping, Zezhu Zeng, Jiale Chen, and Bingqing Cheng. “Scalable Multitemperature
    Free Energy Sampling of Classical Ising Spin States.” <i>Journal of Chemical Theory
    and Computation</i>. American Chemical Society, 2025. <a href="https://doi.org/10.1021/acs.jctc.5c01248">https://doi.org/10.1021/acs.jctc.5c01248</a>.
  ieee: P. Tuo, Z. Zeng, J. Chen, and B. Cheng, “Scalable multitemperature free energy
    sampling of classical Ising spin states,” <i>Journal of Chemical Theory and Computation</i>,
    vol. 21, no. 22. American Chemical Society, pp. 11427–11435, 2025.
  ista: Tuo P, Zeng Z, Chen J, Cheng B. 2025. Scalable multitemperature free energy
    sampling of classical Ising spin states. Journal of Chemical Theory and Computation.
    21(22), 11427–11435.
  mla: Tuo, Ping, et al. “Scalable Multitemperature Free Energy Sampling of Classical
    Ising Spin States.” <i>Journal of Chemical Theory and Computation</i>, vol. 21,
    no. 22, American Chemical Society, 2025, pp. 11427–35, doi:<a href="https://doi.org/10.1021/acs.jctc.5c01248">10.1021/acs.jctc.5c01248</a>.
  short: P. Tuo, Z. Zeng, J. Chen, B. Cheng, Journal of Chemical Theory and Computation
    21 (2025) 11427–11435.
corr_author: '1'
das_tickbox: '0'
date_created: 2025-11-30T23:02:06Z
date_published: 2025-10-31T00:00:00Z
date_updated: 2026-08-07T10:29:06Z
day: '31'
department:
- _id: BiCh
- _id: DaAl
doi: 10.1021/acs.jctc.5c01248
ec_funded: 1
external_id:
  isi:
  - '001605927900001'
  pmid:
  - '41172130'
fulldoi: https://doi.org/10.1021/acs.jctc.5c01248
intvolume: '        21'
isi: 1
issue: '22'
language:
- iso: eng
month: '10'
oa_version: None
page: 11427-11435
pmid: 1
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Journal of Chemical Theory and Computation
publication_identifier:
  eissn:
  - 1549-9626
  issn:
  - 1549-9618
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: https://github.com/tuoping/alchemicalFES
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Scalable multitemperature free energy sampling of classical Ising spin states
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 21
year: '2025'
...
---
APC_amount: 3948 EUR
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '19593'
abstract:
- lang: eng
  text: Prenatal immune challenges pose significant risks to human embryonic brain
    and eye development. However, our knowledge about the safe usage of anti-inflammatory
    drugs during pregnancy is still limited. While human induced pluripotent stem
    cells (hIPSC)-derived brain organoid models have started to explore functional
    consequences upon viral stimulation, these models commonly lack microglia, which
    are susceptible to and promote inflammation. Furthermore, microglia are actively
    involved in neuronal development. Here, we generate hIPSC-derived microglia precursor
    cells and assemble them into retinal organoids. Once the outer plexiform layer
    forms, these hIPSC-derived microglia (iMG) fully integrate into the retinal organoids.
    Since the ganglion cell survival declines by this time in 3D-retinal organoids,
    we adapted the model into 2D and identify that the improved ganglion cell number
    significantly decreases only with iMG presence. In parallel, we applied the immunostimulant
    POLY(I:C) to mimic a fetal viral infection. While POLY(I:C) exposure alters the
    iMG phenotype, it does not hinder their interaction with ganglion cells. Furthermore,
    iMG significantly enhance the supernatant’s inflammatory secretome and increase
    retinal cell proliferation. Simultaneous exposure with the non-steroidal anti-inflammatory
    drug (NSAID) ibuprofen dampens POLY(I:C)-mediated changes of the iMG phenotype
    and ameliorates cell proliferation. Remarkably, while POLY(I:C) disrupts neuronal
    calcium dynamics independent of iMG, ibuprofen rescues this effect only if iMG
    are present. Mechanistically, ibuprofen targets the enzymes cyclooxygenase 1 and
    2 (COX1/PTGS1 and COX2/PTGS2) simultaneously, from which iMG mainly express COX1.
    Selective COX1 blockage fails to restore the calcium peak amplitude upon POLY(I:C)
    stimulation, suggesting ibuprofen’s beneficial effect depends on the presence
    and interplay of COX1 and COX2. These findings underscore the importance of microglia
    in the context of prenatal immune challenges and provide insight into the mechanisms
    by which ibuprofen exerts its protective effects during embryonic development.
acknowledged_ssus:
- _id: LifeSc
- _id: Bio
acknowledgement: We thank the scientific service units at ISTA, specifically the Lab
  Support Facility (LSF), the Molecular Biology Services/Virus Services Team, specifically
  Flavia Gama Gomes Leite and Mark Andrew Smyth, for the virus production, and the
  Imaging and Optics Facility (IOF). We thank all members of the Siegert group and
  Marco Benevento for their constant feedback on the project and comments on the manuscript.
  A special thanks to Rouven Schulz for input on statistical analysis and sharing
  R-scripts, Gloria Colombo for the introduction to cell sorting, Negar Vehdani and
  Florianne Schoot Uiterkamp for their support in cell culture. This research was
  supported by the Gesellschaft für Forschungsförderung Niederösterreich (grant No.
  Sc19-017 to V.H.).
article_number: '98'
article_processing_charge: Yes
article_type: original
author:
- first_name: Verena
  full_name: Hübschmann, Verena
  id: 32B7C918-F248-11E8-B48F-1D18A9856A87
  last_name: Hübschmann
- first_name: Medina
  full_name: Korkut, Medina
  id: 4B51CE74-F248-11E8-B48F-1D18A9856A87
  last_name: Korkut
  orcid: 0000-0003-4309-2251
- first_name: Alessandro
  full_name: Venturino, Alessandro
  id: 41CB84B2-F248-11E8-B48F-1D18A9856A87
  last_name: Venturino
  orcid: 0000-0003-2356-9403
- first_name: Juan Pablo
  full_name: Maya-Arteaga, Juan Pablo
  id: c815d433-1f5d-11f0-a875-dad18b1e5924
  last_name: Maya-Arteaga
- first_name: Sandra
  full_name: Siegert, Sandra
  id: 36ACD32E-F248-11E8-B48F-1D18A9856A87
  last_name: Siegert
  orcid: 0000-0001-8635-0877
citation:
  ama: Schmied V, Korkut M, Venturino A, Maya-Arteaga JP, Siegert S. Microglia determine
    an immune-challenged environment and facilitate ibuprofen action in human retinal
    organoids. <i>Journal of Neuroinflammation</i>. 2025;22(1). doi:<a href="https://doi.org/10.1186/s12974-025-03366-x">10.1186/s12974-025-03366-x</a>
  apa: Schmied, V., Korkut, M., Venturino, A., Maya-Arteaga, J. P., &#38; Siegert,
    S. (2025). Microglia determine an immune-challenged environment and facilitate
    ibuprofen action in human retinal organoids. <i>Journal of Neuroinflammation</i>.
    Springer Nature. <a href="https://doi.org/10.1186/s12974-025-03366-x">https://doi.org/10.1186/s12974-025-03366-x</a>
  chicago: Schmied, Verena, Medina Korkut, Alessandro Venturino, Juan Pablo Maya-Arteaga,
    and Sandra Siegert. “Microglia Determine an Immune-Challenged Environment and
    Facilitate Ibuprofen Action in Human Retinal Organoids.” <i>Journal of Neuroinflammation</i>.
    Springer Nature, 2025. <a href="https://doi.org/10.1186/s12974-025-03366-x">https://doi.org/10.1186/s12974-025-03366-x</a>.
  ieee: V. Schmied, M. Korkut, A. Venturino, J. P. Maya-Arteaga, and S. Siegert, “Microglia
    determine an immune-challenged environment and facilitate ibuprofen action in
    human retinal organoids,” <i>Journal of Neuroinflammation</i>, vol. 22, no. 1.
    Springer Nature, 2025.
  ista: Schmied V, Korkut M, Venturino A, Maya-Arteaga JP, Siegert S. 2025. Microglia
    determine an immune-challenged environment and facilitate ibuprofen action in
    human retinal organoids. Journal of Neuroinflammation. 22(1), 98.
  mla: Schmied, Verena, et al. “Microglia Determine an Immune-Challenged Environment
    and Facilitate Ibuprofen Action in Human Retinal Organoids.” <i>Journal of Neuroinflammation</i>,
    vol. 22, no. 1, 98, Springer Nature, 2025, doi:<a href="https://doi.org/10.1186/s12974-025-03366-x">10.1186/s12974-025-03366-x</a>.
  short: V. Schmied, M. Korkut, A. Venturino, J.P. Maya-Arteaga, S. Siegert, Journal
    of Neuroinflammation 22 (2025).
corr_author: '1'
date_created: 2025-04-20T22:01:28Z
date_published: 2025-04-03T00:00:00Z
date_updated: 2026-08-12T08:45:16Z
day: '03'
ddc:
- '570'
department:
- _id: SaSi
doi: 10.1186/s12974-025-03366-x
external_id:
  isi:
  - '001459311800002'
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  - '40181459'
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  date_created: 2025-04-22T09:46:27Z
  date_updated: 2025-04-22T09:46:27Z
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file_date_updated: 2025-04-22T09:46:27Z
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intvolume: '        22'
isi: 1
issue: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 9B99D380-BA93-11EA-9121-9846C619BF3A
  grant_number: SC19-017
  name: How human microglia shape developing neurons during health and inflammation
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
  name: IST Austria Open Access Fund
publication: Journal of Neuroinflammation
publication_identifier:
  eissn:
  - 1742-2094
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  link:
  - description: News on ISTA website
    relation: press_release
    url: https://ista.ac.at/en/news/pink-skies/
  record:
  - id: '20074'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Microglia determine an immune-challenged environment and facilitate ibuprofen
  action in human retinal organoids
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 22
year: '2025'
...
---
OA_place: publisher
_id: '20074'
abstract:
- lang: eng
  text: "Prenatal immune challenges pose significant risks to human embryonic brain
    and eye development. However, we still lack knowledge about the safe usage of
    anti-inflammatory drugs during pregnancy. Human induced pluripotent stem cell
    (hIPSC)-derived brain organoid models provide a unique opportunity to investigate
    neuronal development and have started to explore functional consequences upon
    viral infection. However, brain organoids usually lack microglia, the brain-resident
    immune cells. They are present in the early human embryonic brain and actively
    participate in neuronal circuit development. At the same time, microglia are known
    for their immune-sensing properties and will influence viral-mediated effects.
    In my thesis, I was interested to study the multifunctional role of human microglia
    during retinal development. \r\nIn chapter 1, I characterize the innate occurrence
    of IBA1+-microglia-like cells within the retinal organoid differentiation (Bartalska
    et al., 2022). Therefore, we differentiate hIPSC using an unguided retinal organoid
    differentiation protocol and observe the presence of IBA1+-microglia-like cells
    alongside retinal cups between week 3 and 4 in 2.5D culture. However, instead
    of infiltrating the neuroectodermal sides, they enrich within non-pigmented, 3D-cystic
    compartments that develop in low numbers parallel to 3D-retinal organoids. To
    enrich for IBA1+-microglia precursors (preMG), we guided the differentiation with
    a low-dosed BMP4 application, which prevents retinal cup development and enhances
    microglia and 3D-cysts formation. We characterize the differentiated preMG for
    their microglia-like identity and validated their functionality. In parallel,
    mass spectrometry identifies the 3D-cysts to express mesenchymal and epithelial
    markers. We confirm that comparable 3D-cysts are also the preferential environment
    for IBA1+-microglia-like cells within the unguided retinal organoid differentiation.
    \r\nIn chapter 2, I investigate how microglia influence retinal development and
    whether they contribute to viral-mediated consequences (Schmied et al., 2025).
    Here, we assemble preMG, which we have characterized in chapter 1, into 3D-retinal
    organoids. Once the outer plexiform layer forms, microglia-like cells (iMG) populate
    them and interact with retinal cell types. However, at this developmental stage,
    the ganglion cell number decreases in 3D-retinal organoids. Thus, we adapted the
    model into 2D which promotes their survival. Integrated iMG engulf ganglion cells
    and control their cell number. In parallel, we apply the immunostimulant POLY(I:C)
    to mimic a fetal viral infection. Although POLY(I:C) stimulation affects iMG phenotype,
    it does not influence their interaction with ganglion cells. Furthermore, iMG
    presence significantly contributes to the supernatant’s inflammatory secretome
    and increases retinal cell proliferation. Simultaneous exposure to the non-steroidal
    anti-inflammatory drug (NSAID) ibuprofen dampens POLY(I:C)-mediated consequences
    of the iMG phenotype and ameliorates cell proliferation. Remarkably, while POLY(I:C)
    disrupts neuronal calcium dynamics independent of iMG presence, ibuprofen rescues
    this effect only in the presence of iMG. Mechanistically, ibuprofen blocks the
    enzymes cyclooxygenase 1 and 2 (COX1/ PTGS1 and COX2/ PTGS2) simultaneously, from
    which iMG predominantly express COX1. Selective inhibition of COX1 does not restore
    the calcium peak amplitude upon POLY(I:C) stimulation, indicating ibuprofen’s
    effect depends on the presence and interplay of both, COX1 and COX2. \r\nIn summary,
    we characterized the 3D-retinal organoid model for the occurrence of IBA1+-microglia
    like cells. As the innately developing IBA1+-cells enrich in mesenchymal over
    retinal structures, we optimized a protocol to differentiate IBA1+-microglia precursors.
    By combining these two models we generate microglia-assembled retinal organoids.
    Our results underscore the importance of microglia during neurodevelopment, in
    the context of prenatal immune challenges and provide insight into the mechanisms
    by which ibuprofen exerts its protective effects during embryonic development."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Verena
  full_name: Hübschmann, Verena
  id: 32B7C918-F248-11E8-B48F-1D18A9856A87
  last_name: Hübschmann
citation:
  ama: Schmied V. Human microglia impact neuronal development in retinal organoids.
    2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20074">10.15479/AT-ISTA-20074</a>
  apa: Schmied, V. (2025). <i>Human microglia impact neuronal development in retinal
    organoids</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-20074">https://doi.org/10.15479/AT-ISTA-20074</a>
  chicago: Schmied, Verena. “Human Microglia Impact Neuronal Development in Retinal
    Organoids.” Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-20074">https://doi.org/10.15479/AT-ISTA-20074</a>.
  ieee: V. Schmied, “Human microglia impact neuronal development in retinal organoids,”
    Institute of Science and Technology Austria, 2025.
  ista: Schmied V. 2025. Human microglia impact neuronal development in retinal organoids.
    Institute of Science and Technology Austria.
  mla: Schmied, Verena. <i>Human Microglia Impact Neuronal Development in Retinal
    Organoids</i>. Institute of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20074">10.15479/AT-ISTA-20074</a>.
  short: V. Schmied, Human Microglia Impact Neuronal Development in Retinal Organoids,
    Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-07-24T12:37:22Z
date_published: 2025-07-24T00:00:00Z
date_updated: 2026-08-12T08:45:16Z
day: '24'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: SaSi
doi: 10.15479/AT-ISTA-20074
doi_confirm: '1'
file:
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fulldoi: https://doi.org/10.15479/AT-ISTA-20074
has_accepted_license: '1'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: '151'
project:
- _id: 9B99D380-BA93-11EA-9121-9846C619BF3A
  grant_number: SC19-017
  name: How human microglia shape developing neurons during health and inflammation
publication_identifier:
  isbn:
  - 978-3-99078-060-2
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '11478'
    relation: part_of_dissertation
    status: public
  - id: '19593'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Sandra
  full_name: Siegert, Sandra
  id: 36ACD32E-F248-11E8-B48F-1D18A9856A87
  last_name: Siegert
  orcid: 0000-0001-8635-0877
title: Human microglia impact neuronal development in retinal organoids
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: dissertation
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19372'
abstract:
- lang: eng
  text: We consider the confined Fröhlich polaron and establish an asymptotic series
    for the low-energy eigenvalues in negative powers of the coupling constant. The
    coefficients of the series are derived through a two-fold perturbation approach,
    involving expansions around the electron Pekar minimizer and the excitations of
    the quantum field.
acknowledgement: M.B. gratefully acknowledges funding from the ERC Advanced Grant
  ERC-AdG CLaQS, grant agreement n. 83478.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Morris
  full_name: Brooks, Morris
  id: B7ECF9FC-AA38-11E9-AC9A-0930E6697425
  last_name: Brooks
  orcid: 0000-0002-6249-0928
- first_name: David Johannes
  full_name: Mitrouskas, David Johannes
  id: cbddacee-2b11-11eb-a02e-a2e14d04e52d
  last_name: Mitrouskas
citation:
  ama: Brooks M, Mitrouskas DJ. Asymptotic series for low-energy excitations of the
    Fröhlich polaron at strong coupling. <i>Probability and Mathematical Physics</i>.
    2025;6(1):281-325. doi:<a href="https://doi.org/10.2140/pmp.2025.6.281">10.2140/pmp.2025.6.281</a>
  apa: Brooks, M., &#38; Mitrouskas, D. J. (2025). Asymptotic series for low-energy
    excitations of the Fröhlich polaron at strong coupling. <i>Probability and Mathematical
    Physics</i>. Mathematical Sciences Publishers. <a href="https://doi.org/10.2140/pmp.2025.6.281">https://doi.org/10.2140/pmp.2025.6.281</a>
  chicago: Brooks, Morris, and David Johannes Mitrouskas. “Asymptotic Series for Low-Energy
    Excitations of the Fröhlich Polaron at Strong Coupling.” <i>Probability and Mathematical
    Physics</i>. Mathematical Sciences Publishers, 2025. <a href="https://doi.org/10.2140/pmp.2025.6.281">https://doi.org/10.2140/pmp.2025.6.281</a>.
  ieee: M. Brooks and D. J. Mitrouskas, “Asymptotic series for low-energy excitations
    of the Fröhlich polaron at strong coupling,” <i>Probability and Mathematical Physics</i>,
    vol. 6, no. 1. Mathematical Sciences Publishers, pp. 281–325, 2025.
  ista: Brooks M, Mitrouskas DJ. 2025. Asymptotic series for low-energy excitations
    of the Fröhlich polaron at strong coupling. Probability and Mathematical Physics.
    6(1), 281–325.
  mla: Brooks, Morris, and David Johannes Mitrouskas. “Asymptotic Series for Low-Energy
    Excitations of the Fröhlich Polaron at Strong Coupling.” <i>Probability and Mathematical
    Physics</i>, vol. 6, no. 1, Mathematical Sciences Publishers, 2025, pp. 281–325,
    doi:<a href="https://doi.org/10.2140/pmp.2025.6.281">10.2140/pmp.2025.6.281</a>.
  short: M. Brooks, D.J. Mitrouskas, Probability and Mathematical Physics 6 (2025)
    281–325.
corr_author: '1'
date_created: 2025-03-09T23:01:28Z
date_published: 2025-02-23T00:00:00Z
date_updated: 2026-08-12T08:44:53Z
day: '23'
department:
- _id: RoSe
doi: 10.2140/pmp.2025.6.281
external_id:
  arxiv:
  - '2306.16373'
fulldoi: https://doi.org/10.2140/pmp.2025.6.281
intvolume: '         6'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2306.16373
month: '02'
oa: 1
oa_version: Preprint
page: 281-325
publication: Probability and Mathematical Physics
publication_identifier:
  eissn:
  - 2690-1005
  issn:
  - 2690-0998
publication_status: published
publisher: Mathematical Sciences Publishers
quality_controlled: '1'
scopus_import: '1'
status: public
title: Asymptotic series for low-energy excitations of the Fröhlich polaron at strong
  coupling
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '20342'
abstract:
- lang: eng
  text: Safety and liveness stand as fundamental concepts in formal languages, playing
    a key role in verification. The safety-liveness classification of boolean properties
    characterizes whether a given property can be falsified by observing a finite
    prefix of an infinite computation trace (always for safety, never for liveness).
    In the quantitative setting, properties are arbitrary functions from infinite
    words to partially-ordered domains. Extending this paradigm to the quantitative
    domain, where properties are arbitrary functions mapping infinite words to partially-ordered
    domains, we introduce and study the notions of quantitative safety and liveness.
    First, we formally define quantitative safety and liveness, and prove that our
    definitions induce conservative quantitative generalizations of both the safety-progress
    hierarchy and the safety-liveness decomposition of boolean properties. Consequently,
    like their boolean counterparts, quantitative properties can be min-decomposed
    into safety and liveness parts, or alternatively, max-decomposed into co-safety
    and co-liveness parts. We further establish a connection between quantitative
    safety and topological continuity and provide alternative characterizations of
    quantitative safety and liveness in terms of their boolean analogs. Second, we
    instantiate our framework with the specific classes of quantitative properties
    expressed by automata. These quantitative automata contain finitely many states
    and rational-valued transition weights, and their common value functions Inf,
    Sup, LimInf, LimSup, LimInfAvg, LimSupAvg, and DSum map infinite words into the
    totally-ordered domain of real numbers. For all common value functions, we provide
    a procedure for deciding whether a given automaton is safe or live, we show how
    to construct its safety closure, and we present a min-decomposition into safe
    and live automata.
acknowledgement: This work was supported in part by the ERC-2020-AdG 101020093 and
  the Israel Science Foundation grant 2410/22. N. Mazzocchi was affiliated with ISTA
  when this work was submitted for publication.
article_number: '13149'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Udi
  full_name: Boker, Udi
  id: 31E297B6-F248-11E8-B48F-1D18A9856A87
  last_name: Boker
- first_name: Thomas A
  full_name: Henzinger, Thomas A
  id: 40876CD8-F248-11E8-B48F-1D18A9856A87
  last_name: Henzinger
  orcid: 0000-0002-2985-7724
- first_name: Nicolas Adrien
  full_name: Mazzocchi, Nicolas Adrien
  id: b26baa86-3308-11ec-87b0-8990f34baa85
  last_name: Mazzocchi
- first_name: Naci E
  full_name: Sarac, Naci E
  id: 8C6B42F8-C8E6-11E9-A03A-F2DCE5697425
  last_name: Sarac
citation:
  ama: Boker U, Henzinger TA, Mazzocchi NA, Sarac NE. Safety and liveness of quantitative
    properties and automata. <i>Logical Methods in Computer Science</i>. 2025;21(2).
    doi:<a href="https://doi.org/10.46298/lmcs-21(2:2)2025">10.46298/lmcs-21(2:2)2025</a>
  apa: Boker, U., Henzinger, T. A., Mazzocchi, N. A., &#38; Sarac, N. E. (2025). Safety
    and liveness of quantitative properties and automata. <i>Logical Methods in Computer
    Science</i>. EPI Sciences. <a href="https://doi.org/10.46298/lmcs-21(2:2)2025">https://doi.org/10.46298/lmcs-21(2:2)2025</a>
  chicago: Boker, Udi, Thomas A Henzinger, Nicolas Adrien Mazzocchi, and Naci E Sarac.
    “Safety and Liveness of Quantitative Properties and Automata.” <i>Logical Methods
    in Computer Science</i>. EPI Sciences, 2025. <a href="https://doi.org/10.46298/lmcs-21(2:2)2025">https://doi.org/10.46298/lmcs-21(2:2)2025</a>.
  ieee: U. Boker, T. A. Henzinger, N. A. Mazzocchi, and N. E. Sarac, “Safety and liveness
    of quantitative properties and automata,” <i>Logical Methods in Computer Science</i>,
    vol. 21, no. 2. EPI Sciences, 2025.
  ista: Boker U, Henzinger TA, Mazzocchi NA, Sarac NE. 2025. Safety and liveness of
    quantitative properties and automata. Logical Methods in Computer Science. 21(2),
    13149.
  mla: Boker, Udi, et al. “Safety and Liveness of Quantitative Properties and Automata.”
    <i>Logical Methods in Computer Science</i>, vol. 21, no. 2, 13149, EPI Sciences,
    2025, doi:<a href="https://doi.org/10.46298/lmcs-21(2:2)2025">10.46298/lmcs-21(2:2)2025</a>.
  short: U. Boker, T.A. Henzinger, N.A. Mazzocchi, N.E. Sarac, Logical Methods in
    Computer Science 21 (2025).
corr_author: '1'
date_created: 2025-09-11T12:17:52Z
date_published: 2025-04-08T00:00:00Z
date_updated: 2026-08-12T08:46:05Z
day: '08'
ddc:
- '000'
department:
- _id: GradSch
- _id: ToHe
doi: 10.46298/lmcs-21(2:2)2025
ec_funded: 1
external_id:
  arxiv:
  - '2307.06016'
  isi:
  - '001468887900001'
file:
- access_level: open_access
  checksum: 0b4d477bd981379724c35a4de2c176e5
  content_type: application/pdf
  creator: esarac
  date_created: 2025-09-11T12:17:12Z
  date_updated: 2025-09-11T12:17:12Z
  file_id: '20343'
  file_name: 2307.06016.pdf
  file_size: 709584
  relation: main_file
  success: 1
file_date_updated: 2025-09-11T12:17:12Z
fulldoi: https://doi.org/10.46298/lmcs-21(2:2)2025
has_accepted_license: '1'
intvolume: '        21'
isi: 1
issue: '2'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
  call_identifier: H2020
  grant_number: '101020093'
  name: Vigilant Algorithmic Monitoring of Software
publication: Logical Methods in Computer Science
publication_identifier:
  eissn:
  - 1860-5974
publication_status: published
publisher: EPI Sciences
quality_controlled: '1'
related_material:
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    status: public
scopus_import: '1'
status: public
title: Safety and liveness of quantitative properties and automata
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 21
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '19701'
abstract:
- lang: eng
  text: 'Living systems are characterized by controlled flows of matter, energy, and
    information. While the biophysics community has productively engaged with the
    first two, addressing information flows has been more challenging, with some scattered
    success in evolutionary theory and a more coherent track record in neuroscience.
    Nevertheless, interdisciplinary work of the past two decades at the interface
    of biophysics, quantitative biology, and engineering has led to an emerging mathematical
    language for describing information flows at the molecular scale. This is where
    the central processes of life unfold: from detection and transduction of environmental
    signals to the readout or copying of genetic information and the triggering of
    adaptive cellular responses. Such processes are coordinated by complex biochemical
    reaction networks that operate at room temperature, are out of equilibrium, and
    use low copy numbers of diverse molecular species with limited interaction specificity.
    Here we review how flows of information through biochemical networks can be formalized
    using information-theoretic quantities, quantified from data, and computed within
    various modeling frameworks. Optimization of information flows is presented as
    a candidate design principle that navigates the relevant time, energy, crosstalk,
    and metabolic constraints to predict reliable cellular signaling and gene regulation
    architectures built of individually noisy components.'
acknowledgement: G.T. acknowledges the support of the Human Frontiers Science Program
  (HFSP), the Austrian Science Fund (FWF 10.55776/P34015, 10.55776/P28844), and the
  European Research Council Synergy DYNATRANS (ERC-2023-SyG 101118866) grant. P.R.t.W.
  performed his work at the research institute AMOLF and acknowledges support from
  the Dutch Research Council (NWO) and funding from the European Research Council
  (ERC) under the European Union's Horizon 2020 research and innovation program (grant
  agreement 885065).
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
- first_name: Pieter Rein Ten
  full_name: Wolde, Pieter Rein Ten
  last_name: Wolde
citation:
  ama: Tkačik G, Wolde PRT. Information processing in biochemical networks. <i>Annual
    Review of Biophysics</i>. 2025;54:249-274. doi:<a href="https://doi.org/10.1146/annurev-biophys-060524-102720">10.1146/annurev-biophys-060524-102720</a>
  apa: Tkačik, G., &#38; Wolde, P. R. T. (2025). Information processing in biochemical
    networks. <i>Annual Review of Biophysics</i>. Annual Reviews. <a href="https://doi.org/10.1146/annurev-biophys-060524-102720">https://doi.org/10.1146/annurev-biophys-060524-102720</a>
  chicago: Tkačik, Gašper, and Pieter Rein Ten Wolde. “Information Processing in Biochemical
    Networks.” <i>Annual Review of Biophysics</i>. Annual Reviews, 2025. <a href="https://doi.org/10.1146/annurev-biophys-060524-102720">https://doi.org/10.1146/annurev-biophys-060524-102720</a>.
  ieee: G. Tkačik and P. R. T. Wolde, “Information processing in biochemical networks,”
    <i>Annual Review of Biophysics</i>, vol. 54. Annual Reviews, pp. 249–274, 2025.
  ista: Tkačik G, Wolde PRT. 2025. Information processing in biochemical networks.
    Annual Review of Biophysics. 54, 249–274.
  mla: Tkačik, Gašper, and Pieter Rein Ten Wolde. “Information Processing in Biochemical
    Networks.” <i>Annual Review of Biophysics</i>, vol. 54, Annual Reviews, 2025,
    pp. 249–74, doi:<a href="https://doi.org/10.1146/annurev-biophys-060524-102720">10.1146/annurev-biophys-060524-102720</a>.
  short: G. Tkačik, P.R.T. Wolde, Annual Review of Biophysics 54 (2025) 249–274.
corr_author: '1'
date_created: 2025-05-18T22:02:50Z
date_published: 2025-05-01T00:00:00Z
date_updated: 2026-08-12T09:25:42Z
day: '01'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1146/annurev-biophys-060524-102720
external_id:
  isi:
  - '001488641500013'
  pmid:
  - '39929539'
file:
- access_level: open_access
  checksum: 9ab623b2bc45dcd5fdd2c9577ea8ae9f
  content_type: application/pdf
  creator: dernst
  date_created: 2025-05-19T07:55:51Z
  date_updated: 2025-05-19T07:55:51Z
  file_id: '19710'
  file_name: 2025_AnnualReviewBiophysics_Tkacik.pdf
  file_size: 317925
  relation: main_file
  success: 1
file_date_updated: 2025-05-19T07:55:51Z
fulldoi: https://doi.org/10.1146/annurev-biophys-060524-102720
has_accepted_license: '1'
intvolume: '        54'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 249-274
pmid: 1
project:
- _id: 626c45b5-2b32-11ec-9570-e509828c1ba6
  grant_number: P34015
  name: Efficient coding with biophysical realism
- _id: 254E9036-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P28844-B27
  name: Biophysics of information processing in gene regulation
- _id: 7bfe6a29-9f16-11ee-852c-c0da5e2045d9
  grant_number: '101118866'
  name: 'Transcription in 4D: the dynamic interplay between chromatin architecture
    and gene expression in developing pseudo-embryos'
- _id: 255008E4-B435-11E9-9278-68D0E5697425
  grant_number: RGP0065/2012
  name: Information processing and computation in fish groups
publication: Annual Review of Biophysics
publication_identifier:
  eissn:
  - 1936-1238
publication_status: published
publisher: Annual Reviews
quality_controlled: '1'
scopus_import: '1'
status: public
title: Information processing in biochemical networks
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 54
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20048'
abstract:
- lang: eng
  text: 'During embryonic development, cell behaviors need to be tightly regulated
    in time and space. Yet how the temporal and spatial regulations of cell behaviors
    are interconnected during embryonic development remains elusive. To address this,
    we turned to zebrafish gastrulation, the process whereby dynamic cell behaviors
    generate the three principal germ layers of the early embryo. Here, we show that
    Hoxb cluster genes are expressed in a temporally collinear manner at the blastoderm
    margin, where mesodermal and endodermal (mesendoderm) progenitor cells are specified
    and ingress to form mesendoderm/hypoblast. Functional analysis shows that these
    Hoxb genes regulate the timing of cell ingression: under- or overexpression of
    Hoxb genes perturb the timing of mesendoderm cell ingression and, consequently,
    the positioning of these cells along the forming anterior-posterior body axis
    after gastrulation. Finally, we found that Hoxb genes control the timing of mesendoderm
    ingression by regulating cellular bleb formation and cell surface fluctuations
    in the ingressing cells. Collectively, our findings suggest that Hoxb genes interconnect
    the temporal and spatial pattern of cell behaviors during zebrafish gastrulation
    by controlling cell surface fluctuations.'
acknowledgement: We thank all the Heisenberg lab members for discussions and comments
  on the manuscript, and the Bioimaging and Life Science facilities of ISTA for support
  with microscopy and fish maintenance, respectively. This study was funded by a Japan
  Society for the Promotion of Science (JSPS) Overseas Research Fellowship and a Japan
  Science and Technology Agency PRESTO grant (JPMJPR214B) to Y.M. Open Access funding
  provided by the Japan Science and Technology Agency. Deposited in PMC for immediate
  release.
article_number: dev204261
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Yuuta
  full_name: Moriyama, Yuuta
  id: addc9b8c-67a0-11f0-b374-a2e094825470
  last_name: Moriyama
  orcid: 0000-0002-2853-8051
- first_name: Toshiyuki
  full_name: Mitsui, Toshiyuki
  last_name: Mitsui
- first_name: Carl-Philipp J
  full_name: Heisenberg, Carl-Philipp J
  id: 39427864-F248-11E8-B48F-1D18A9856A87
  last_name: Heisenberg
  orcid: 0000-0002-0912-4566
citation:
  ama: Moriyama Y, Mitsui T, Heisenberg C-PJ. Hoxb genes determine the timing of cell
    ingression by regulating cell surface fluctuations during zebrafish gastrulation.
    <i>Development</i>. 2025;152(12). doi:<a href="https://doi.org/10.1242/dev.204261">10.1242/dev.204261</a>
  apa: Moriyama, Y., Mitsui, T., &#38; Heisenberg, C.-P. J. (2025). Hoxb genes determine
    the timing of cell ingression by regulating cell surface fluctuations during zebrafish
    gastrulation. <i>Development</i>. Company of Biologists. <a href="https://doi.org/10.1242/dev.204261">https://doi.org/10.1242/dev.204261</a>
  chicago: Moriyama, Yuuta, Toshiyuki Mitsui, and Carl-Philipp J Heisenberg. “Hoxb
    Genes Determine the Timing of Cell Ingression by Regulating Cell Surface Fluctuations
    during Zebrafish Gastrulation.” <i>Development</i>. Company of Biologists, 2025.
    <a href="https://doi.org/10.1242/dev.204261">https://doi.org/10.1242/dev.204261</a>.
  ieee: Y. Moriyama, T. Mitsui, and C.-P. J. Heisenberg, “Hoxb genes determine the
    timing of cell ingression by regulating cell surface fluctuations during zebrafish
    gastrulation,” <i>Development</i>, vol. 152, no. 12. Company of Biologists, 2025.
  ista: Moriyama Y, Mitsui T, Heisenberg C-PJ. 2025. Hoxb genes determine the timing
    of cell ingression by regulating cell surface fluctuations during zebrafish gastrulation.
    Development. 152(12), dev204261.
  mla: Moriyama, Yuuta, et al. “Hoxb Genes Determine the Timing of Cell Ingression
    by Regulating Cell Surface Fluctuations during Zebrafish Gastrulation.” <i>Development</i>,
    vol. 152, no. 12, dev204261, Company of Biologists, 2025, doi:<a href="https://doi.org/10.1242/dev.204261">10.1242/dev.204261</a>.
  short: Y. Moriyama, T. Mitsui, C.-P.J. Heisenberg, Development 152 (2025).
corr_author: '1'
date_created: 2025-07-21T08:10:32Z
date_published: 2025-06-27T00:00:00Z
date_updated: 2026-08-12T10:01:31Z
day: '27'
ddc:
- '570'
department:
- _id: CaHe
doi: 10.1242/dev.204261
external_id:
  isi:
  - '001525252300001'
  pmid:
  - '40576478'
file:
- access_level: open_access
  checksum: 808d8aa28df79d23fb661838d1fdc1be
  content_type: application/pdf
  creator: dernst
  date_created: 2025-07-23T08:43:01Z
  date_updated: 2025-07-23T08:43:01Z
  file_id: '20070'
  file_name: 2025_Development_Moriyama.pdf
  file_size: 25935563
  relation: main_file
  success: 1
file_date_updated: 2025-07-23T08:43:01Z
fulldoi: https://doi.org/10.1242/dev.204261
has_accepted_license: '1'
intvolume: '       152'
isi: 1
issue: '12'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
pmid: 1
publication: Development
publication_identifier:
  eissn:
  - 1477-9129
  issn:
  - 0950-1991
publication_status: published
publisher: Company of Biologists
quality_controlled: '1'
scopus_import: '1'
status: public
title: Hoxb genes determine the timing of cell ingression by regulating cell surface
  fluctuations during zebrafish gastrulation
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 152
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '21343'
abstract:
- lang: eng
  text: "The large sieve is used to estimate the density of quadratic polynomials
    Q ∈ Z[x],\r\nsuch that there exists an odd degree polynomial defined over Z which
    has resultant ±1 with Q.\r\nGiven a monic polynomial R ∈ Z[x] of odd degree, this
    is used to show that for almost all\r\nquadratic polynomials Q ∈ Z[x], there exists
    a prime p such that Q and R share a common\r\nroot in Fp. Using recent work of
    Landesman, an application to the average size of the odd part\r\nof the class
    group of quadratic number fields is also given"
- lang: fre
  text: ' Le grand crible est utilisé pour estimer la densité des polynômes quadratiques
    Q ∈ Z[x] tels qu’il existe un polynôme de degré impair défini sur Z dont le résultant
    avec Q est égal à ±1. Étant donné un polynôme unitaire R ∈ Z[x] de degré impair,
    on s’en sert pour montrer que, pour presque tous les polynômes quadratiques Q
    ∈ Z[x], il existe un nombre premier p tel que Q et R aient une racine commune
    dans Fp. En utilisant des travaux récents de Landesman, on obtient également une
    application concernant la taille moyenne de la partie impaire du groupe de classe
    des corps quadratiques.'
acknowledgement: While working on this paper, the first author was supported by a
  FWF grant (DOI 10.55776/P36278).
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Timothy D
  full_name: Browning, Timothy D
  id: 35827D50-F248-11E8-B48F-1D18A9856A87
  last_name: Browning
  orcid: 0000-0002-8314-0177
- first_name: Yik Tung
  full_name: Chan, Yik Tung
  id: c4c0afc8-9262-11ed-9231-d8b0bc743af1
  last_name: Chan
  orcid: 0000-0001-8467-4106
citation:
  ama: Browning TD, Chan S. Solubility of a resultant equation and applications. <i>Journal
    de l’Ecole Polytechnique - Mathematiques</i>. 2025;12:1677-1691. doi:<a href="https://doi.org/10.5802/jep.320">10.5802/jep.320</a>
  apa: Browning, T. D., &#38; Chan, S. (2025). Solubility of a resultant equation
    and applications. <i>Journal de l’Ecole Polytechnique - Mathematiques</i>. Ecole
    Polytechnique. <a href="https://doi.org/10.5802/jep.320">https://doi.org/10.5802/jep.320</a>
  chicago: Browning, Timothy D, and Stephanie Chan. “Solubility of a Resultant Equation
    and Applications.” <i>Journal de l’Ecole Polytechnique - Mathematiques</i>. Ecole
    Polytechnique, 2025. <a href="https://doi.org/10.5802/jep.320">https://doi.org/10.5802/jep.320</a>.
  ieee: T. D. Browning and S. Chan, “Solubility of a resultant equation and applications,”
    <i>Journal de l’Ecole Polytechnique - Mathematiques</i>, vol. 12. Ecole Polytechnique,
    pp. 1677–1691, 2025.
  ista: Browning TD, Chan S. 2025. Solubility of a resultant equation and applications.
    Journal de l’Ecole Polytechnique - Mathematiques. 12, 1677–1691.
  mla: Browning, Timothy D., and Stephanie Chan. “Solubility of a Resultant Equation
    and Applications.” <i>Journal de l’Ecole Polytechnique - Mathematiques</i>, vol.
    12, Ecole Polytechnique, 2025, pp. 1677–91, doi:<a href="https://doi.org/10.5802/jep.320">10.5802/jep.320</a>.
  short: T.D. Browning, S. Chan, Journal de l’Ecole Polytechnique - Mathematiques
    12 (2025) 1677–1691.
corr_author: '1'
das_tickbox: '0'
date_created: 2026-02-22T23:01:36Z
date_published: 2025-10-21T00:00:00Z
date_updated: 2026-08-12T11:17:50Z
day: '21'
ddc:
- '510'
department:
- _id: TiBr
doi: 10.5802/jep.320
external_id:
  arxiv:
  - '2411.09264'
file:
- access_level: open_access
  checksum: 828577ea48ac6109d3e9dd1aeddd45c4
  content_type: application/pdf
  creator: dernst
  date_created: 2026-02-24T07:56:34Z
  date_updated: 2026-02-24T07:56:34Z
  file_id: '21356'
  file_name: 2025_JEP_Browning.pdf
  file_size: 1003689
  relation: main_file
  success: 1
file_date_updated: 2026-02-24T07:56:34Z
fulldoi: https://doi.org/10.5802/jep.320
has_accepted_license: '1'
intvolume: '        12'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 1677-1691
project:
- _id: bd8a4fdc-d553-11ed-ba76-80a0167441a3
  grant_number: P36278
  name: Rational curves via function field analytic number theory
publication: Journal de l'Ecole Polytechnique - Mathematiques
publication_identifier:
  eissn:
  - 2270-518X
  issn:
  - 2429-7100
publication_status: published
publisher: Ecole Polytechnique
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Solubility of a resultant equation and applications
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 12
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20249'
abstract:
- lang: eng
  text: We develop a heuristic for the density of integer points on affine cubic surfaces.
    Our heuristic applies to smooth surfaces defined by cubic polynomials that are
    log K3, but it can also be adjusted to handle singular cubic surfaces. We compare
    our heuristic to Heath-Brown’s prediction for sums of three cubes, as well as
    to asymptotic formulae in the literature around Zagier’s work on the Markoff cubic
    surface, and work of Baragar and Umeda on further surfaces of Markoff-type. We
    also test our heuristic against numerical data for several families of cubic surfaces.
acknowledgement: "The authors owe a debt of thanks to Yonatan Harpaz for asking about
  circle method heuristics for log K3 surfaces. His contribution to the resulting
  discussion is gratefully acknowledged. Thanks are also due to Andrew Sutherland
  for help with numerical data for the equation x^3 + y^3 + z^3 = 1, together with
  Alex Gamburd, Amit Ghosh, Peter Sarnak and Matteo Verzobio for their interest in
  this paper. Special thanks are due to Victor Wang for helpful conversations about
  the circle method heuristics and to the anonymous referee for several useful comments.
  While working on this paper, the authors were supported by a FWF grant (DOI 10.55776/P32428),
  and the first author was supported by a further FWF grant (DOI 10.55776/P36278)
  and a grant from the School of Mathematics at the Institute for Advanced Study in
  Princeton.\r\nOpen access funding provided by Institute of Science and Technology
  (IST Austria)."
article_number: '81'
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Timothy D
  full_name: Browning, Timothy D
  id: 35827D50-F248-11E8-B48F-1D18A9856A87
  last_name: Browning
  orcid: 0000-0002-8314-0177
- first_name: Florian Alexander
  full_name: Wilsch, Florian Alexander
  id: 560601DA-8D36-11E9-A136-7AC1E5697425
  last_name: Wilsch
  orcid: 0000-0001-7302-8256
citation:
  ama: 'Browning TD, Wilsch FA. Integral points on cubic surfaces: heuristics and
    numerics. <i>Selecta Mathematica New Series</i>. 2025;31(4). doi:<a href="https://doi.org/10.1007/s00029-025-01074-1">10.1007/s00029-025-01074-1</a>'
  apa: 'Browning, T. D., &#38; Wilsch, F. A. (2025). Integral points on cubic surfaces:
    heuristics and numerics. <i>Selecta Mathematica New Series</i>. Springer Nature.
    <a href="https://doi.org/10.1007/s00029-025-01074-1">https://doi.org/10.1007/s00029-025-01074-1</a>'
  chicago: 'Browning, Timothy D, and Florian Alexander Wilsch. “Integral Points on
    Cubic Surfaces: Heuristics and Numerics.” <i>Selecta Mathematica New Series</i>.
    Springer Nature, 2025. <a href="https://doi.org/10.1007/s00029-025-01074-1">https://doi.org/10.1007/s00029-025-01074-1</a>.'
  ieee: 'T. D. Browning and F. A. Wilsch, “Integral points on cubic surfaces: heuristics
    and numerics,” <i>Selecta Mathematica New Series</i>, vol. 31, no. 4. Springer
    Nature, 2025.'
  ista: 'Browning TD, Wilsch FA. 2025. Integral points on cubic surfaces: heuristics
    and numerics. Selecta Mathematica New Series. 31(4), 81.'
  mla: 'Browning, Timothy D., and Florian Alexander Wilsch. “Integral Points on Cubic
    Surfaces: Heuristics and Numerics.” <i>Selecta Mathematica New Series</i>, vol.
    31, no. 4, 81, Springer Nature, 2025, doi:<a href="https://doi.org/10.1007/s00029-025-01074-1">10.1007/s00029-025-01074-1</a>.'
  short: T.D. Browning, F.A. Wilsch, Selecta Mathematica New Series 31 (2025).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: The data used in Sections 6 and 9 is hosted on the Göttingen
  Research Online Data repository [https://doi.org/10.25625/4FLFH8]. The code used
  to determine the data in Sections 6.2, 9.1 and 9.2 is found on the second author’s
  github page.
date_created: 2025-08-31T22:01:31Z
date_published: 2025-09-01T00:00:00Z
date_updated: 2026-08-12T12:15:32Z
day: '01'
ddc:
- '500'
department:
- _id: TiBr
doi: 10.1007/s00029-025-01074-1
external_id:
  arxiv:
  - '2407.16315'
  isi:
  - '001552779800001'
file:
- access_level: open_access
  checksum: 89352f1f7e8d2b367ae5f4e9bf9eb1f5
  content_type: application/pdf
  creator: dernst
  date_created: 2025-09-03T06:44:44Z
  date_updated: 2025-09-03T06:44:44Z
  file_id: '20281'
  file_name: 2025_SelectaMathematica_Browning.pdf
  file_size: 2484757
  relation: main_file
  success: 1
file_date_updated: 2025-09-03T06:44:44Z
fulldoi: https://doi.org/10.1007/s00029-025-01074-1
has_accepted_license: '1'
intvolume: '        31'
isi: 1
issue: '4'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 26AEDAB2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P32428
  name: New frontiers of the Manin conjecture
- _id: bd8a4fdc-d553-11ed-ba76-80a0167441a3
  grant_number: P36278
  name: Rational curves via function field analytic number theory
publication: Selecta Mathematica New Series
publication_identifier:
  eissn:
  - 1420-9020
  issn:
  - 1022-1824
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: https://github.com/fwilsch/cubicpts
  record:
  - id: '22234'
    relation: research_data
    status: public
researchdata_availability: yes
scopus_import: '1'
status: public
supplementarymaterial: yes
title: 'Integral points on cubic surfaces: heuristics and numerics'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 31
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20218'
abstract:
- lang: eng
  text: Humanity has long sought inspiration from nature to innovate materials and
    devices. As science advances, nature-inspired materials are becoming part of our
    lives. Animate materials, characterized by their activity, adaptability, and autonomy,
    emulate properties of living systems. While only biological materials fully embody
    these principles, artificial versions are advancing rapidly, promising transformative
    impacts in the circular economy, health and climate resilience within a generation.
    This roadmap presents authoritative perspectives on animate materials across different
    disciplines and scales, highlighting their interdisciplinary nature and potential
    applications in diverse fields including nanotechnology, robotics and the built
    environment. It underscores the need for concerted efforts to address shared challenges
    such as complexity management, scalability, evolvability, interdisciplinary collaboration,
    and ethical and environmental considerations. The framework defined by classifying
    materials based on their level of animacy can guide this emerging field to encourage
    cooperation and responsible development. By unravelling the mysteries of living
    matter and leveraging its principles, we can design materials and systems that
    will transform our world in a more sustainable manner.
acknowledgement: "Living Architecture is Funded by the EU Horizon 2020 Future Emerging
  Technologies Open programme (2016–2019) Grant Agreement 686585 a consortium of 6
  collaborating institutions—Newcastle University, University of Trento, University
  of the West of England, Spanish National Research Council, Explora Biotech and Liquifer
  Systems Group.\r\n\r\nThe Active Living Infrastructure: Controlled Environment (ALICE)
  project is funded by an EU Innovation Award for the development of a bio-digital
  ‘brick’ prototype, a collaboration between Newcastle University, Translating Nature,
  and the University of the West of England (2019–2021) under EU Grant Agreement No.
  851246.\r\n\r\nMicrobial Hydroponics: Circular Sustainable Electrobiosynthesis (Mi-Hy)
  is Funded by the European Union under Grant Agreement Number 101114746, which is
  a collaboration between Beneficiaries, KU Leuven (Belgium), the University of Southampton
  (UK), SONY Computer Science Laboratory (France), BioFaction KG (Austria), Spanish
  National Research Council (Spain), and Associated Partners, the University of the
  West of England (UK) and University of Southampton (UK). Mi-Hy is also supported
  through the interdisciplinary KU Leuven Institute for Cultural Heritage (HERKUL)."
article_number: '333501'
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: Giorgio
  full_name: Volpe, Giorgio
  last_name: Volpe
- first_name: Nuno A.M.
  full_name: Araújo, Nuno A.M.
  last_name: Araújo
- first_name: Maria
  full_name: Guix, Maria
  last_name: Guix
- first_name: Mark
  full_name: Miodownik, Mark
  last_name: Miodownik
- first_name: Nicolas
  full_name: Martin, Nicolas
  last_name: Martin
- first_name: Laura
  full_name: Alvarez, Laura
  last_name: Alvarez
- first_name: Juliane
  full_name: Simmchen, Juliane
  last_name: Simmchen
- first_name: Roberto Di
  full_name: Leonardo, Roberto Di
  last_name: Leonardo
- first_name: Nicola
  full_name: Pellicciotta, Nicola
  last_name: Pellicciotta
- first_name: Quentin
  full_name: Martinet, Quentin
  id: b37485a8-d343-11eb-a0e9-df8c484ef8ab
  last_name: Martinet
  orcid: 0000-0002-2916-6632
- first_name: Jérémie A
  full_name: Palacci, Jérémie A
  id: 8fb92548-2b22-11eb-b7c1-a3f0d08d7c7d
  last_name: Palacci
  orcid: 0000-0002-7253-9465
- first_name: Wai Kit
  full_name: Ng, Wai Kit
  last_name: Ng
- first_name: Dhruv
  full_name: Saxena, Dhruv
  last_name: Saxena
- first_name: Riccardo
  full_name: Sapienza, Riccardo
  last_name: Sapienza
- first_name: Sara
  full_name: Nadine, Sara
  last_name: Nadine
- first_name: João F.
  full_name: Mano, João F.
  last_name: Mano
- first_name: Reza
  full_name: Mahdavi, Reza
  last_name: Mahdavi
- first_name: Caroline
  full_name: Beck Adiels, Caroline
  last_name: Beck Adiels
- first_name: Joe
  full_name: Forth, Joe
  last_name: Forth
- first_name: Christian
  full_name: Santangelo, Christian
  last_name: Santangelo
- first_name: Stefano
  full_name: Palagi, Stefano
  last_name: Palagi
- first_name: Ji Min
  full_name: Seok, Ji Min
  last_name: Seok
- first_name: Victoria A.
  full_name: Webster-Wood, Victoria A.
  last_name: Webster-Wood
- first_name: Shuhong
  full_name: Wang, Shuhong
  last_name: Wang
- first_name: Lining
  full_name: Yao, Lining
  last_name: Yao
- first_name: Amirreza
  full_name: Aghakhani, Amirreza
  last_name: Aghakhani
- first_name: Thomas
  full_name: Barois, Thomas
  last_name: Barois
- first_name: Hamid
  full_name: Kellay, Hamid
  last_name: Kellay
- first_name: Corentin
  full_name: Coulais, Corentin
  last_name: Coulais
- first_name: Martin
  full_name: Van Hecke, Martin
  last_name: Van Hecke
- first_name: Christopher J.
  full_name: Pierce, Christopher J.
  last_name: Pierce
- first_name: Tianyu
  full_name: Wang, Tianyu
  last_name: Wang
- first_name: Baxi
  full_name: Chong, Baxi
  last_name: Chong
- first_name: Daniel I.
  full_name: Goldman, Daniel I.
  last_name: Goldman
- first_name: Andreagiovanni
  full_name: Reina, Andreagiovanni
  last_name: Reina
- first_name: Vito
  full_name: Trianni, Vito
  last_name: Trianni
- first_name: Giovanni
  full_name: Volpe, Giovanni
  last_name: Volpe
- first_name: Richard
  full_name: Beckett, Richard
  last_name: Beckett
- first_name: Sean P.
  full_name: Nair, Sean P.
  last_name: Nair
- first_name: Rachel
  full_name: Armstrong, Rachel
  last_name: Armstrong
citation:
  ama: 'Volpe G, Araújo NAM, Guix M, et al. Roadmap for animate matter. <i>Journal
    of Physics: Condensed Matter</i>. 2025;37(33). doi:<a href="https://doi.org/10.1088/1361-648X/adebd3">10.1088/1361-648X/adebd3</a>'
  apa: 'Volpe, G., Araújo, N. A. M., Guix, M., Miodownik, M., Martin, N., Alvarez,
    L., … Armstrong, R. (2025). Roadmap for animate matter. <i>Journal of Physics:
    Condensed Matter</i>. IOP Publishing. <a href="https://doi.org/10.1088/1361-648X/adebd3">https://doi.org/10.1088/1361-648X/adebd3</a>'
  chicago: 'Volpe, Giorgio, Nuno A.M. Araújo, Maria Guix, Mark Miodownik, Nicolas
    Martin, Laura Alvarez, Juliane Simmchen, et al. “Roadmap for Animate Matter.”
    <i>Journal of Physics: Condensed Matter</i>. IOP Publishing, 2025. <a href="https://doi.org/10.1088/1361-648X/adebd3">https://doi.org/10.1088/1361-648X/adebd3</a>.'
  ieee: 'G. Volpe <i>et al.</i>, “Roadmap for animate matter,” <i>Journal of Physics:
    Condensed Matter</i>, vol. 37, no. 33. IOP Publishing, 2025.'
  ista: 'Volpe G, Araújo NAM, Guix M, Miodownik M, Martin N, Alvarez L, Simmchen J,
    Leonardo RD, Pellicciotta N, Martinet Q, Palacci JA, Ng WK, Saxena D, Sapienza
    R, Nadine S, Mano JF, Mahdavi R, Beck Adiels C, Forth J, Santangelo C, Palagi
    S, Seok JM, Webster-Wood VA, Wang S, Yao L, Aghakhani A, Barois T, Kellay H, Coulais
    C, Van Hecke M, Pierce CJ, Wang T, Chong B, Goldman DI, Reina A, Trianni V, Volpe
    G, Beckett R, Nair SP, Armstrong R. 2025. Roadmap for animate matter. Journal
    of Physics: Condensed Matter. 37(33), 333501.'
  mla: 'Volpe, Giorgio, et al. “Roadmap for Animate Matter.” <i>Journal of Physics:
    Condensed Matter</i>, vol. 37, no. 33, 333501, IOP Publishing, 2025, doi:<a href="https://doi.org/10.1088/1361-648X/adebd3">10.1088/1361-648X/adebd3</a>.'
  short: 'G. Volpe, N.A.M. Araújo, M. Guix, M. Miodownik, N. Martin, L. Alvarez, J.
    Simmchen, R.D. Leonardo, N. Pellicciotta, Q. Martinet, J.A. Palacci, W.K. Ng,
    D. Saxena, R. Sapienza, S. Nadine, J.F. Mano, R. Mahdavi, C. Beck Adiels, J. Forth,
    C. Santangelo, S. Palagi, J.M. Seok, V.A. Webster-Wood, S. Wang, L. Yao, A. Aghakhani,
    T. Barois, H. Kellay, C. Coulais, M. Van Hecke, C.J. Pierce, T. Wang, B. Chong,
    D.I. Goldman, A. Reina, V. Trianni, G. Volpe, R. Beckett, S.P. Nair, R. Armstrong,
    Journal of Physics: Condensed Matter 37 (2025).'
date_created: 2025-08-24T22:01:30Z
date_published: 2025-08-18T00:00:00Z
date_updated: 2026-08-12T14:00:12Z
day: '18'
ddc:
- '530'
department:
- _id: JePa
doi: 10.1088/1361-648X/adebd3
external_id:
  arxiv:
  - '2407.10623'
  isi:
  - '001550090200001'
file:
- access_level: open_access
  checksum: 7309274f78bed785b158bd290337f456
  content_type: application/pdf
  creator: dernst
  date_created: 2025-09-02T07:22:48Z
  date_updated: 2025-09-02T07:22:48Z
  file_id: '20271'
  file_name: 2025_CondensedMatter_Volpe.pdf
  file_size: 8997829
  relation: main_file
  success: 1
file_date_updated: 2025-09-02T07:22:48Z
fulldoi: https://doi.org/10.1088/1361-648X/adebd3
has_accepted_license: '1'
intvolume: '        37'
isi: 1
issue: '33'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
publication: 'Journal of Physics: Condensed Matter'
publication_identifier:
  eissn:
  - 1361-648X
  issn:
  - 0953-8984
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Roadmap for animate matter
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20453'
abstract:
- lang: eng
  text: 'Magnetotropic susceptibility is the thermodynamic coefficient that maps the
    curvature of free energy with respect to an applied magnetic field orientation,
    providing a means to quantify the magnetic anisotropy of a crystal. In this context,
    non-linear magnetic torque behavior has been reported in FePS3, motivating the
    investigation of similar non-linear characteristics in its magnetotropic susceptibility.
    In this work, we derive the non-linear magnetotropic susceptibility expressions
    for FePS3 in both ac*-and bc*-planes using complementary approaches: by taking
    the first derivative of torque and through the formal calculation of the magnetotropic
    susceptibility. Higher-order terms in the magnetization are included, and the
    final equations are obtained by applying symmetry constraints imposed by the C2h
    point group of the material. We analyze the behavior of the resulting non-linear
    expressions and identify the contributions of each parameter. Our theoretical
    results show good agreement with preliminary, unpublished experimental data, offering
    meaningful guidance for ongoing and future experimental work.'
acknowledgement: We thank Kimberly A. Modic for her support and discussions regarding
  the technique in the context of a project indirectly related to, but distinct from,
  the present work. We also thank Brad J. Ramshaw and Arkady Shekhter for scientific
  discussions not directly related to this study, but whose insights proved helpful.
  We are grateful to Valeska Zambra, Amit Nathwani, Hamza Nasir, and Tayyaba Hussain
  for informal discussions on various aspects of the technique, and to Naoya Iwahara
  for his thoughtful and constructive feedback. The experimental curve shown in figures
  3(b) and 6, from the Thermodynamics of Quantum Materials (TQM) group at ISTA, was
  measured by Muhammad Nauman for an unrelated project. We thank Kimberly Modic for
  granting access to the laboratory facilities. Je Geun Park provided the crystal
  used for that measurement via Younjung Jo, whose contribution we gratefully acknowledge.
  Institutional support from the Institute of Science and Technology Austria (ISTA)
  is also gratefully acknowledged.
article_number: '405801'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Hamza
  full_name: Farooq, Hamza
  last_name: Farooq
- first_name: Muhammad
  full_name: Nauman, Muhammad
  id: 32c21954-2022-11eb-9d5f-af9f93c24e71
  last_name: Nauman
  orcid: 0000-0002-2111-4846
citation:
  ama: 'Farooq H, Nauman M. Non-linear magnetotropic susceptibility in FePS3. <i>Journal
    of Physics: Condensed Matter</i>. 2025;37(40). doi:<a href="https://doi.org/10.1088/1361-648X/ae0913">10.1088/1361-648X/ae0913</a>'
  apa: 'Farooq, H., &#38; Nauman, M. (2025). Non-linear magnetotropic susceptibility
    in FePS3. <i>Journal of Physics: Condensed Matter</i>. IOP Publishing. <a href="https://doi.org/10.1088/1361-648X/ae0913">https://doi.org/10.1088/1361-648X/ae0913</a>'
  chicago: 'Farooq, Hamza, and Muhammad Nauman. “Non-Linear Magnetotropic Susceptibility
    in FePS3.” <i>Journal of Physics: Condensed Matter</i>. IOP Publishing, 2025.
    <a href="https://doi.org/10.1088/1361-648X/ae0913">https://doi.org/10.1088/1361-648X/ae0913</a>.'
  ieee: 'H. Farooq and M. Nauman, “Non-linear magnetotropic susceptibility in FePS3,”
    <i>Journal of Physics: Condensed Matter</i>, vol. 37, no. 40. IOP Publishing,
    2025.'
  ista: 'Farooq H, Nauman M. 2025. Non-linear magnetotropic susceptibility in FePS3.
    Journal of Physics: Condensed Matter. 37(40), 405801.'
  mla: 'Farooq, Hamza, and Muhammad Nauman. “Non-Linear Magnetotropic Susceptibility
    in FePS3.” <i>Journal of Physics: Condensed Matter</i>, vol. 37, no. 40, 405801,
    IOP Publishing, 2025, doi:<a href="https://doi.org/10.1088/1361-648X/ae0913">10.1088/1361-648X/ae0913</a>.'
  short: 'H. Farooq, M. Nauman, Journal of Physics: Condensed Matter 37 (2025).'
corr_author: '1'
date_created: 2025-10-12T22:01:26Z
date_published: 2025-10-06T00:00:00Z
date_updated: 2026-08-12T14:00:34Z
day: '06'
ddc:
- '530'
department:
- _id: KiMo
doi: 10.1088/1361-648X/ae0913
external_id:
  isi:
  - '001585824100001'
  pmid:
  - '40967257'
file:
- access_level: open_access
  checksum: b182856a5a655496e149afa49ec464f3
  content_type: application/pdf
  creator: dernst
  date_created: 2025-10-13T06:34:15Z
  date_updated: 2025-10-13T06:34:15Z
  file_id: '20458'
  file_name: 2025_JourPhysicsCondMatter_Farooq.pdf
  file_size: 1709516
  relation: main_file
  success: 1
file_date_updated: 2025-10-13T06:34:15Z
fulldoi: https://doi.org/10.1088/1361-648X/ae0913
has_accepted_license: '1'
intvolume: '        37'
isi: 1
issue: '40'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
pmid: 1
publication: 'Journal of Physics: Condensed Matter'
publication_identifier:
  eissn:
  - 1361-648X
  issn:
  - 0953-8984
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Non-linear magnetotropic susceptibility in FePS3
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2025'
...
---
OA_type: closed access
_id: '20219'
abstract:
- lang: eng
  text: Reproduction is a fundamental biological process, with organisms reproducing
    sexually, asexually, and, in some cases, utilizing both modes of reproduction
    within the same population. Does the ability to reproduce through a combination
    of asexual and sexual modes offer an evolutionary advantage over relying on either
    mode alone? Here, we introduce an empirically driven theoretical model to examine
    the dynamics and interplay between sexual and asexual reproduction in stick insect
    populations. We analyse it using a novel phase transition approach and corroborate
    it using published experimental data. We find that the presence of males can either
    increase or decrease the overall population size. However, maintaining an optimal
    ratio of parthenogenetic to sexual reproduction is crucial for male resilience,
    effectively delaying male extinction. Conversely, extreme levels of parthenogenetic
    reproduction—whether too high or too low—can lead to male extinction, emphasizing
    the need for a balanced number of virgin females to ensure the persistence of
    males. Our model also explains male absence in Carausius morosus and persistence
    in Extatosoma tiaratum. Our findings provide valuable insights into the interplay
    of reproductive strategies and contribute to broader discussions on the transitions
    between sexual and asexual reproduction.
acknowledgement: We acknowledge Prof. Uri Alon for introducing us to the topic of
  systems biology during the graduate course at the Weizmann Institute of Science,
  whose insights and teachings have greatly inspired this work.
article_number: '20250202'
article_processing_charge: No
article_type: original
author:
- first_name: Oran
  full_name: Ayalon, Oran
  last_name: Ayalon
- first_name: Harikrishnan
  full_name: Rajendran, Harikrishnan
  id: 876b6b34-8ff4-11ec-97c9-8d95a7aae416
  last_name: Rajendran
citation:
  ama: Ayalon O, Rajendran H. Interplay of asexual and sexual reproduction in bifunctional
    insects. <i>Journal of the Royal Society Interface</i>. 2025;22(229). doi:<a href="https://doi.org/10.1098/rsif.2025.0202">10.1098/rsif.2025.0202</a>
  apa: Ayalon, O., &#38; Rajendran, H. (2025). Interplay of asexual and sexual reproduction
    in bifunctional insects. <i>Journal of the Royal Society Interface</i>. Royal
    Society. <a href="https://doi.org/10.1098/rsif.2025.0202">https://doi.org/10.1098/rsif.2025.0202</a>
  chicago: Ayalon, Oran, and Harikrishnan Rajendran. “Interplay of Asexual and Sexual
    Reproduction in Bifunctional Insects.” <i>Journal of the Royal Society Interface</i>.
    Royal Society, 2025. <a href="https://doi.org/10.1098/rsif.2025.0202">https://doi.org/10.1098/rsif.2025.0202</a>.
  ieee: O. Ayalon and H. Rajendran, “Interplay of asexual and sexual reproduction
    in bifunctional insects,” <i>Journal of the Royal Society Interface</i>, vol.
    22, no. 229. Royal Society, 2025.
  ista: Ayalon O, Rajendran H. 2025. Interplay of asexual and sexual reproduction
    in bifunctional insects. Journal of the Royal Society Interface. 22(229), 20250202.
  mla: Ayalon, Oran, and Harikrishnan Rajendran. “Interplay of Asexual and Sexual
    Reproduction in Bifunctional Insects.” <i>Journal of the Royal Society Interface</i>,
    vol. 22, no. 229, 20250202, Royal Society, 2025, doi:<a href="https://doi.org/10.1098/rsif.2025.0202">10.1098/rsif.2025.0202</a>.
  short: O. Ayalon, H. Rajendran, Journal of the Royal Society Interface 22 (2025).
corr_author: '1'
date_created: 2025-08-24T22:01:30Z
date_published: 2025-08-13T00:00:00Z
date_updated: 2026-08-12T14:09:20Z
day: '13'
department:
- _id: SyCr
doi: 10.1098/rsif.2025.0202
external_id:
  isi:
  - '001548084900001'
  pmid:
  - '40799050'
fulldoi: https://doi.org/10.1098/rsif.2025.0202
intvolume: '        22'
isi: 1
issue: '229'
language:
- iso: eng
month: '08'
oa_version: None
pmid: 1
publication: Journal of the Royal Society Interface
publication_identifier:
  eissn:
  - 1742-5662
  issn:
  - 1742-5689
publication_status: published
publisher: Royal Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Interplay of asexual and sexual reproduction in bifunctional insects
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 22
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19762'
abstract:
- lang: eng
  text: The cerebral cortex must contain the appropriate numbers of neurons in each
    layer to acquire its proper functional organization. Accordingly, neurogenesis
    requires precise regulation along development. Cortical neurons are made either
    directly by Radial Glia Cells (RGCs) that self- consume, or indirectly from RGCs
    via Intermediate Progenitor Cells (IPCs) and largely preserving the RGC pool.
    According to the standing model of cortical development, Direct Neurogenesis predominates
    at early stages of development, and progressively shifts to Indirect Neurogenesis,
    which predominates at late stages. However, neurogenesis at early stages should
    be compatible with RGC amplification, and neurogenesis at late stages needs to
    involve RGC consumption, which seems in conflict with the standing model. Here
    we studied the modes of neurogenesis along cortical development using multiple
    approaches, including birthdating, live imaging and MADM clone labeling. Contrary
    to the established dogma, our data show that Indirect Neurogenesis clearly predominates
    at early developmental stages, gradually shifting to Direct Neurogenesis at late
    stages. These findings challenge the current model of cortical neurogenesis, and
    prompt a re-evaluation of previous and ongoing work about the genetic and molecular
    mechanisms regulating this process.
acknowledgement: "We thank A. Iñigo for assistance with imaging, and members of the
  Borrell and Herrera labs for\r\ninsightful discussions and critical reading of the
  manuscript. Funding to our lab members was\r\nprovided by the Spanish Research Agency
  (AEI): FPI contract (BES-2016-077737) to L.dV.A., FPI SO contract (SEV-2017-0723-18-1)
  to A.E., JdC-Incorporación contract (IJC2020-044653-I) to V.F., and JAE-Intro fellowship
  (JAEICU23EX_0071) to I.C., as well as by La Caixa Foundation: La Caixa-Severo Ochoa
  fellowship (E-03-2016-0557140) to S.A., INPhINIT-Retaining fellowship (LCF/BQ/DR21/11880012)
  to E.F.O., INPhINIT-Incoming fellowship (LCF/BQ/DI22/11940006) to E.N., and Junior
  Leader-Retaining grant to A.C. (LCF/BQ/PR23/11980051). Work was supported by grants
  from FWF (SFB F78) to S.H.; AEI (PID2021-125618NB-I00) and European Research Council
  (101118729) to V.B., who also acknowledges financial support from AEI through the
  “Severo Ochoa” Programme for Centers of Excellence in R&D (CEX2021-001165-S)."
article_processing_charge: No
author:
- first_name: Adrián
  full_name: Cárdenas, Adrián
  last_name: Cárdenas
- first_name: Irem
  full_name: Çelik, Irem
  last_name: Çelik
- first_name: Alexandre
  full_name: Espinós, Alexandre
  last_name: Espinós
- first_name: Carmen
  full_name: Streicher, Carmen
  id: 36BCB99C-F248-11E8-B48F-1D18A9856A87
  last_name: Streicher
- first_name: Lara
  full_name: López-González, Lara
  last_name: López-González
- first_name: Lucia
  full_name: del-Valle-Anton, Lucia
  last_name: del-Valle-Anton
- first_name: Virginia
  full_name: Fernández, Virginia
  last_name: Fernández
- first_name: Salma
  full_name: Amin, Salma
  last_name: Amin
- first_name: Enrico
  full_name: Negri, Enrico
  last_name: Negri
- first_name: Eduardo Fernández
  full_name: Ortuño, Eduardo Fernández
  last_name: Ortuño
- first_name: Simon
  full_name: Hippenmeyer, Simon
  id: 37B36620-F248-11E8-B48F-1D18A9856A87
  last_name: Hippenmeyer
  orcid: 0000-0003-2279-1061
- first_name: Víctor
  full_name: Borrell, Víctor
  last_name: Borrell
biorxivid: 1
citation:
  ama: Cárdenas A, Çelik I, Espinós A, et al. Early indirect neurogenesis transitions
    to late direct neurogenesis in mouse cerebral cortex development. <i>bioRxiv</i>.
    doi:<a href="https://doi.org/10.1101/2025.05.22.655488">10.1101/2025.05.22.655488</a>
  apa: Cárdenas, A., Çelik, I., Espinós, A., Streicher, C., López-González, L., del-Valle-Anton,
    L., … Borrell, V. (n.d.). Early indirect neurogenesis transitions to late direct
    neurogenesis in mouse cerebral cortex development. <i>bioRxiv</i>. <a href="https://doi.org/10.1101/2025.05.22.655488">https://doi.org/10.1101/2025.05.22.655488</a>
  chicago: Cárdenas, Adrián, Irem Çelik, Alexandre Espinós, Carmen Streicher, Lara
    López-González, Lucia del-Valle-Anton, Virginia Fernández, et al. “Early Indirect
    Neurogenesis Transitions to Late Direct Neurogenesis in Mouse Cerebral Cortex
    Development.” <i>BioRxiv</i>, n.d. <a href="https://doi.org/10.1101/2025.05.22.655488">https://doi.org/10.1101/2025.05.22.655488</a>.
  ieee: A. Cárdenas <i>et al.</i>, “Early indirect neurogenesis transitions to late
    direct neurogenesis in mouse cerebral cortex development,” <i>bioRxiv</i>. .
  ista: Cárdenas A, Çelik I, Espinós A, Streicher C, López-González L, del-Valle-Anton
    L, Fernández V, Amin S, Negri E, Ortuño EF, Hippenmeyer S, Borrell V. Early indirect
    neurogenesis transitions to late direct neurogenesis in mouse cerebral cortex
    development. bioRxiv, <a href="https://doi.org/10.1101/2025.05.22.655488">10.1101/2025.05.22.655488</a>.
  mla: Cárdenas, Adrián, et al. “Early Indirect Neurogenesis Transitions to Late Direct
    Neurogenesis in Mouse Cerebral Cortex Development.” <i>BioRxiv</i>, doi:<a href="https://doi.org/10.1101/2025.05.22.655488">10.1101/2025.05.22.655488</a>.
  short: A. Cárdenas, I. Çelik, A. Espinós, C. Streicher, L. López-González, L. del-Valle-Anton,
    V. Fernández, S. Amin, E. Negri, E.F. Ortuño, S. Hippenmeyer, V. Borrell, BioRxiv
    (n.d.).
date_created: 2025-05-29T10:45:55Z
date_published: 2025-05-23T00:00:00Z
date_updated: 2026-08-13T07:18:38Z
day: '23'
department:
- _id: SiHi
doi: 10.1101/2025.05.22.655488
external_id:
  biorxivid:
  - 10.1101/2025.05.22.655488
fulldoi: https://doi.org/10.1101/2025.05.22.655488
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1101/2025.05.22.655488
month: '05'
oa: 1
oa_version: Preprint
project:
- _id: 059F6AB4-7A3F-11EA-A408-12923DDC885E
  grant_number: F7805
  name: Stem Cell Modulation in Neural Development and Regeneration/ P05-Molecular
    Mechanisms of Neural Stem Cell Lineage Progression
publication: bioRxiv
publication_status: submitted
status: public
title: Early indirect neurogenesis transitions to late direct neurogenesis in mouse
  cerebral cortex development
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19717'
abstract:
- lang: eng
  text: Radial glial progenitors (RGPs) generate all projection neurons (PNs) in the
    cerebral cortex through incompletely understood processes. Herein, we combine
    Mosaic Analysis with Double Markers (MADM)-based clonal analysis at embryonic
    days 12.5 and 13.5 with early postnatal callosal tracing to reveal a lineage progression
    that challenges the inside-outside model of cortical development and the conventional
    view of an invariable sequence of asymmetric neurogenic divisions. Our data demonstrate
    that early multipotent RGPs generate all extra-telencephalic (ET) and intra-telencephalic
    (IT) PNs across all layers through parallel sublineages and the random specification,
    during the earliest neurogenic divisions, of fate-restricted daughter RGPs. While
    the neuronal production of the parental multipotent RGPs consists of small ET-PN
    or IT-PN outputs, fate-restricted RGPs produce larger translaminar outputs spanning
    deep and upper layers of only IT-PNs, the predominant mammalian PN subtype. We
    further show that the emergence of IT-PN fate-restricted RGPs also leads to quantitatively
    and temporally stereotyped neurogenesis population-wise.
acknowledgement: "We thank M. Caouyette for the plasmid construction for Pou3f1 overexpression;
  C. Varela747 Martínez for help with the code for graphical analysis; all members
  from the Nieto’s lab for\r\ncomment on the manuscript, specially to F. Martín for
  the insightful discussions;J.C. Oliveros\r\nand J.A. García from the computational
  service of the CNB for help with the analysis of\r\nRNAseq dataset, C.O. Sorzano
  for the help with statistical analysis, and the service of\r\nAdvance Optical Microscopy
  of the CNB for their technical advice.\r\nI.V.M holds a fellowship funded by MCICIU
  (PRE-2018-083376), the work was funded by\r\nPID2020-112831GB-I00 funded by MCIN/AEI
  /10.13039/501100011033.\r\n"
article_processing_charge: No
author:
- first_name: I
  full_name: Varela-Martínez, I
  last_name: Varela-Martínez
- first_name: Ana
  full_name: Villalba Requena, Ana
  id: 68cb85a0-39f7-11eb-9559-9aaab4f6a247
  last_name: Villalba Requena
  orcid: 0000-0002-5615-5277
- first_name: J.
  full_name: Garcia-Marqués, J.
  last_name: Garcia-Marqués
- first_name: Simon
  full_name: Hippenmeyer, Simon
  id: 37B36620-F248-11E8-B48F-1D18A9856A87
  last_name: Hippenmeyer
  orcid: 0000-0003-2279-1061
- first_name: M.
  full_name: Nieto, M.
  last_name: Nieto
citation:
  ama: Varela-Martínez I, Villalba Requena A, Garcia-Marqués J, Hippenmeyer S, Nieto
    M. Early emergence of projection-subtype fate-restricted radial glial progenitors
    orchestrates neocortical neurogenesis. <i>bioRxiv</i>. doi:<a href="https://doi.org/10.1101/2025.05.07.652665">10.1101/2025.05.07.652665</a>
  apa: Varela-Martínez, I., Villalba Requena, A., Garcia-Marqués, J., Hippenmeyer,
    S., &#38; Nieto, M. (n.d.). Early emergence of projection-subtype fate-restricted
    radial glial progenitors orchestrates neocortical neurogenesis. <i>bioRxiv</i>.
    <a href="https://doi.org/10.1101/2025.05.07.652665">https://doi.org/10.1101/2025.05.07.652665</a>
  chicago: Varela-Martínez, I, Ana Villalba Requena, J. Garcia-Marqués, Simon Hippenmeyer,
    and M. Nieto. “Early Emergence of Projection-Subtype Fate-Restricted Radial Glial
    Progenitors Orchestrates Neocortical Neurogenesis.” <i>BioRxiv</i>, n.d. <a href="https://doi.org/10.1101/2025.05.07.652665">https://doi.org/10.1101/2025.05.07.652665</a>.
  ieee: I. Varela-Martínez, A. Villalba Requena, J. Garcia-Marqués, S. Hippenmeyer,
    and M. Nieto, “Early emergence of projection-subtype fate-restricted radial glial
    progenitors orchestrates neocortical neurogenesis,” <i>bioRxiv</i>. .
  ista: Varela-Martínez I, Villalba Requena A, Garcia-Marqués J, Hippenmeyer S, Nieto
    M. Early emergence of projection-subtype fate-restricted radial glial progenitors
    orchestrates neocortical neurogenesis. bioRxiv, <a href="https://doi.org/10.1101/2025.05.07.652665">10.1101/2025.05.07.652665</a>.
  mla: Varela-Martínez, I., et al. “Early Emergence of Projection-Subtype Fate-Restricted
    Radial Glial Progenitors Orchestrates Neocortical Neurogenesis.” <i>BioRxiv</i>,
    doi:<a href="https://doi.org/10.1101/2025.05.07.652665">10.1101/2025.05.07.652665</a>.
  short: I. Varela-Martínez, A. Villalba Requena, J. Garcia-Marqués, S. Hippenmeyer,
    M. Nieto, BioRxiv (n.d.).
date_created: 2025-05-20T10:19:29Z
date_published: 2025-05-07T00:00:00Z
date_updated: 2026-08-13T07:16:48Z
day: '07'
department:
- _id: SiHi
doi: 10.1101/2025.05.07.652665
fulldoi: https://doi.org/10.1101/2025.05.07.652665
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1101/2025.05.07.652665
month: '05'
oa: 1
oa_version: Preprint
publication: bioRxiv
publication_status: submitted
status: public
title: Early emergence of projection-subtype fate-restricted radial glial progenitors
  orchestrates neocortical neurogenesis
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
