---
OA_place: repository
OA_type: green
_id: '20689'
abstract:
- lang: eng
  text: This paper studies the expected value of multiplicative rewards, where rewards
    obtained in each step are multiplied (instead of the usual addition), in Markov
    chains (MCs) and Markov decision processes (MDPs). One of the key differences
    to additive rewards is that the expected value may diverge to ∞ not only due to
    recurrent, but also due to transient states.For MCs, computing the value is shown
    to be possible in polynomial time given an oracle for the comparison of succinctly
    represented integers (CSRI), which is only known to be solvable in polynomial
    time subject to number-theoretic conjectures. Interestingly, distinguishing whether
    the value is ∞ or 0 is at least as hard as CSRI, while determining if it is one
    of these two can be done in polynomial time. In MDPs, the optimal value can be
    computed in polynomial space. Further refined complexity results and results on
    the complexity of optimal schedulers are presented. The techniques developed for
    MDPs additionally allow to solve the multiplicative variant of the stochastic
    shortest path problem. Finally, for MCs and MDPs where an absorbing state is reached
    almost surely, all considered problems are solvable in polynomial time.
acknowledgement: "This work was partly funded by the ERC CoG 863818 (ForM-SMArt),
  the Austrian Science Fund (FWF) 10.55776/COE12, the DFG Grant 389792660 as part
  of TRR 248 (Foundations of Perspicuous Software Systems), the Cluster of Excellence
  EXC 2050/1 (CeTI, project ID\r\n390696704, as part of Germany’s Excellence Strategy),
  and by the BMBF (Federal Ministry of Education and Research) in DAAD project 57616814
  (SECAI, School of Embedded and\r\nComposite AI) as part of the program Konrad Zuse
  Schools of Excellence in Artificial Intelligence."
article_processing_charge: No
arxiv: 1
author:
- first_name: Christel
  full_name: Baier, Christel
  last_name: Baier
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Tobias
  full_name: Meggendorfer, Tobias
  id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
  last_name: Meggendorfer
  orcid: 0000-0002-1712-2165
- first_name: Jakob
  full_name: Piribauer, Jakob
  last_name: Piribauer
citation:
  ama: 'Baier C, Chatterjee K, Meggendorfer T, Piribauer J. Multiplicative rewards
    in Markovian models. In: <i>2025 40th Annual ACM/IEEE Symposium on Logic in Computer
    Science</i>. IEEE; 2025:499-512. doi:<a href="https://doi.org/10.1109/lics65433.2025.00044">10.1109/lics65433.2025.00044</a>'
  apa: 'Baier, C., Chatterjee, K., Meggendorfer, T., &#38; Piribauer, J. (2025). Multiplicative
    rewards in Markovian models. In <i>2025 40th Annual ACM/IEEE Symposium on Logic
    in Computer Science</i> (pp. 499–512). Singapore, Singapore: IEEE. <a href="https://doi.org/10.1109/lics65433.2025.00044">https://doi.org/10.1109/lics65433.2025.00044</a>'
  chicago: Baier, Christel, Krishnendu Chatterjee, Tobias Meggendorfer, and Jakob
    Piribauer. “Multiplicative Rewards in Markovian Models.” In <i>2025 40th Annual
    ACM/IEEE Symposium on Logic in Computer Science</i>, 499–512. IEEE, 2025. <a href="https://doi.org/10.1109/lics65433.2025.00044">https://doi.org/10.1109/lics65433.2025.00044</a>.
  ieee: C. Baier, K. Chatterjee, T. Meggendorfer, and J. Piribauer, “Multiplicative
    rewards in Markovian models,” in <i>2025 40th Annual ACM/IEEE Symposium on Logic
    in Computer Science</i>, Singapore, Singapore, 2025, pp. 499–512.
  ista: 'Baier C, Chatterjee K, Meggendorfer T, Piribauer J. 2025. Multiplicative
    rewards in Markovian models. 2025 40th Annual ACM/IEEE Symposium on Logic in Computer
    Science. LICS: Logic in Computer Science, 499–512.'
  mla: Baier, Christel, et al. “Multiplicative Rewards in Markovian Models.” <i>2025
    40th Annual ACM/IEEE Symposium on Logic in Computer Science</i>, IEEE, 2025, pp.
    499–512, doi:<a href="https://doi.org/10.1109/lics65433.2025.00044">10.1109/lics65433.2025.00044</a>.
  short: C. Baier, K. Chatterjee, T. Meggendorfer, J. Piribauer, in:, 2025 40th Annual
    ACM/IEEE Symposium on Logic in Computer Science, IEEE, 2025, pp. 499–512.
conference:
  end_date: 2025-06-26
  location: Singapore, Singapore
  name: 'LICS: Logic in Computer Science'
  start_date: 2025-06-23
corr_author: '1'
date_created: 2025-11-24T14:24:00Z
date_published: 2025-10-09T00:00:00Z
date_updated: 2025-11-25T07:59:25Z
day: '09'
department:
- _id: KrCh
doi: 10.1109/lics65433.2025.00044
ec_funded: 1
external_id:
  arxiv:
  - '2504.18277'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2504.18277
month: '10'
oa: 1
oa_version: Preprint
page: 499-512
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
  call_identifier: H2020
  grant_number: '863818'
  name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: 2025 40th Annual ACM/IEEE Symposium on Logic in Computer Science
publication_identifier:
  eisbn:
  - '9798331579005'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Multiplicative rewards in Markovian models
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '20690'
abstract:
- lang: eng
  text: 'Cumulative prospect theory (CPT) is the first theory for decision-making
    under uncertainty that combines full theoretical soundness and empirically realistic
    features [1], [Page 2]. While CPT was originally considered in one-shot settings
    for risk-aware decision-making, we consider CPT in sequential decision-making.
    The most fundamental and well-studied models for sequential decision-making are
    Markov chains (MCs), and their generalization Markov decision processes (MDPs).
    The complexity theoretic study of MCs and MDPs with CPT is a fundamental problem
    that has not been addressed in the literature.Our contributions are as follows:
    First, we present an alternative viewpoint for the CPT-value of MCs and MDPs.
    This allows us to establish a connection with multi-objective reachability analysis
    and conclude the strategy complexity result that memoryless randomized strategies
    are necessary and sufficient for optimality. Second, based on this connection,
    we provide an algorithm for computing the CPT-value in MDPs with infinite-horizon
    objectives. We show that the problem is in EXPTIME and fixed-parameter tractable.
    Moreover, we provide a polynomial-time algorithm for the special case of MCs.'
acknowledgement: "This project has received funding from the Fonds de la Recherche
  Scientifique - FNRS under grant No. T.0027.21, the Belgian National Lottery; the
  ERC CoG 863818 (ForM-SMArt), the Austrian Science Fund (FWF) 10.55776/COE12; the
  DFG project 427755713, GOPro, and the DFG research training group GRK 2428 Continuous
  Verification of Cyber-Physical Systems\r\n(ConVeY); the EU’s Horizon 2020 research
  and innovation programmes under the Marie Sklodowska-Curie grant agreement No. 101034413
  (IST-BRIDGE) and the ERC Starting Grant DEUCE (101077178)."
article_processing_charge: No
arxiv: 1
author:
- first_name: Thomas
  full_name: Brihaye, Thomas
  last_name: Brihaye
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Stefanie
  full_name: Mohr, Stefanie
  last_name: Mohr
- first_name: Maximilian
  full_name: Weininger, Maximilian
  id: 02ab0197-cc70-11ed-ab61-918e71f56881
  last_name: Weininger
  orcid: 0000-0002-0163-2152
citation:
  ama: 'Brihaye T, Chatterjee K, Mohr S, Weininger M. Risk-aware Markov decision processes
    using cumulative prospect theory. In: <i>2025 40th Annual ACM/IEEE Symposium on
    Logic in Computer Science</i>. IEEE; 2025:458-471. doi:<a href="https://doi.org/10.1109/lics65433.2025.00041">10.1109/lics65433.2025.00041</a>'
  apa: 'Brihaye, T., Chatterjee, K., Mohr, S., &#38; Weininger, M. (2025). Risk-aware
    Markov decision processes using cumulative prospect theory. In <i>2025 40th Annual
    ACM/IEEE Symposium on Logic in Computer Science</i> (pp. 458–471). Singapore,
    Singapore: IEEE. <a href="https://doi.org/10.1109/lics65433.2025.00041">https://doi.org/10.1109/lics65433.2025.00041</a>'
  chicago: Brihaye, Thomas, Krishnendu Chatterjee, Stefanie Mohr, and Maximilian Weininger.
    “Risk-Aware Markov Decision Processes Using Cumulative Prospect Theory.” In <i>2025
    40th Annual ACM/IEEE Symposium on Logic in Computer Science</i>, 458–71. IEEE,
    2025. <a href="https://doi.org/10.1109/lics65433.2025.00041">https://doi.org/10.1109/lics65433.2025.00041</a>.
  ieee: T. Brihaye, K. Chatterjee, S. Mohr, and M. Weininger, “Risk-aware Markov decision
    processes using cumulative prospect theory,” in <i>2025 40th Annual ACM/IEEE Symposium
    on Logic in Computer Science</i>, Singapore, Singapore, 2025, pp. 458–471.
  ista: 'Brihaye T, Chatterjee K, Mohr S, Weininger M. 2025. Risk-aware Markov decision
    processes using cumulative prospect theory. 2025 40th Annual ACM/IEEE Symposium
    on Logic in Computer Science. LICS: Logic in Computer Science, 458–471.'
  mla: Brihaye, Thomas, et al. “Risk-Aware Markov Decision Processes Using Cumulative
    Prospect Theory.” <i>2025 40th Annual ACM/IEEE Symposium on Logic in Computer
    Science</i>, IEEE, 2025, pp. 458–71, doi:<a href="https://doi.org/10.1109/lics65433.2025.00041">10.1109/lics65433.2025.00041</a>.
  short: T. Brihaye, K. Chatterjee, S. Mohr, M. Weininger, in:, 2025 40th Annual ACM/IEEE
    Symposium on Logic in Computer Science, IEEE, 2025, pp. 458–471.
conference:
  end_date: 2025-06-26
  location: Singapore, Singapore
  name: 'LICS: Logic in Computer Science'
  start_date: 2025-06-23
corr_author: '1'
date_created: 2025-11-24T14:43:47Z
date_published: 2025-10-09T00:00:00Z
date_updated: 2025-11-25T07:59:49Z
day: '09'
department:
- _id: KrCh
doi: 10.1109/lics65433.2025.00041
ec_funded: 1
external_id:
  arxiv:
  - '2505.09514'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2505.09514
month: '10'
oa: 1
oa_version: Preprint
page: 458-471
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
  call_identifier: H2020
  grant_number: '863818'
  name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: 2025 40th Annual ACM/IEEE Symposium on Logic in Computer Science
publication_identifier:
  eisbn:
  - '9798331579005'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Risk-aware Markov decision processes using cumulative prospect theory
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
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'
date_created: 2025-11-30T23:02:06Z
date_published: 2025-12-02T00:00:00Z
date_updated: 2026-02-16T12:31:49Z
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
has_accepted_license: '1'
intvolume: '       122'
issue: '48'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
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 '
scopus_import: '1'
status: public
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
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'
date_created: 2025-11-30T23:02:06Z
date_published: 2025-10-31T00:00:00Z
date_updated: 2025-12-01T15:40:27Z
day: '31'
department:
- _id: BiCh
- _id: DaAl
doi: 10.1021/acs.jctc.5c01248
ec_funded: 1
external_id:
  isi:
  - '001605927900001'
  pmid:
  - '41172130'
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
scopus_import: '1'
status: public
title: Scalable multitemperature free energy sampling of classical Ising spin states
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 21
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20706'
abstract:
- lang: eng
  text: We experimentally realize a quantum clock by using a charge sensor to count
    charges tunneling through a double quantum dot (DQD). Individual tunneling events
    are used as the clock’s ticks. We quantify the clock’s precision while measuring
    the power dissipated by the DQD and, separately, the charge sensor in both direct-current
    and radio-frequency readout modes. This allows us to probe the thermodynamic cost
    of creating ticks microscopically and recording them macroscopically. Our experiment
    is the first to explore the interplay between the entropy produced by a microscopic
    clockwork and its macroscopic measurement apparatus. We show that the latter contribution
    not only dwarfs the former but also unlocks greatly increased precision, because
    the measurement record can be exploited to optimally estimate time even when the
    DQD is at equilibrium. Our results suggest that the entropy produced by the amplification
    and measurement of a clock’s ticks, which has often been ignored in the literature,
    is the most important and fundamental thermodynamic cost of timekeeping at the
    quantum scale.
acknowledgement: The authors thank Georgios Katsaros for providing the device for
  this experiment, and Tony Apollaro, Ilia Khomchenko, and Gerard Milburn for discussions.
  V. W. acknowledges funding from UK Research and Innovation Grant No. EP/T517811/1.
  F. M., M. H., and P. E. acknowledge funding from the European Research Council (Consolidator
  Grant “Cocoquest” No. 101043705). M. H. and P. E. acknowledge funding from the Austrian
  Federal Ministry of Education, Science, and Research via the Austrian Research Promotion
  Agency (FFG) through Quantum Austria. R. S. acknowledges funding from the Swiss
  National Science Foundation via an Ambizione Grant No. PZ00P2_185986. M. T. M. is
  supported by a Royal Society University Research Fellowship. N. A. acknowledges
  support from the European Research Council (Grant Agreement No, 948932) and the
  Royal Society (No. URF-R1-191150). This project is cofunded by the European Union
  (Quantum Flagship project ASPECTS, Grant Agreement No. 101080167) and UK Research
  and Innovation (UKRI). Views and opinions expressed are however those of the authors
  only and do not necessarily reflect those of the European Union, Research Executive
  Agency, or UKRI. Neither the European Union nor UKRI can be held responsible for
  them.
article_number: '200407'
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: Vivek
  full_name: Wadhia, Vivek
  last_name: Wadhia
- first_name: Florian
  full_name: Meier, Florian
  last_name: Meier
- first_name: Federico
  full_name: Fedele, Federico
  last_name: Fedele
- first_name: Ralph
  full_name: Silva, Ralph
  last_name: Silva
- first_name: Nuriya
  full_name: Nurgalieva, Nuriya
  last_name: Nurgalieva
- first_name: David L.
  full_name: Craig, David L.
  last_name: Craig
- first_name: Daniel
  full_name: Jirovec, Daniel
  id: 4C473F58-F248-11E8-B48F-1D18A9856A87
  last_name: Jirovec
  orcid: 0000-0002-7197-4801
- first_name: Jaime
  full_name: Saez Mollejo, Jaime
  id: e0390f72-f6e0-11ea-865d-862393336714
  last_name: Saez Mollejo
- first_name: Andrea
  full_name: Ballabio, Andrea
  last_name: Ballabio
- first_name: Daniel
  full_name: Chrastina, Daniel
  last_name: Chrastina
- first_name: Giovanni
  full_name: Isella, Giovanni
  last_name: Isella
- first_name: Marcus
  full_name: Huber, Marcus
  last_name: Huber
- first_name: Mark T.
  full_name: Mitchison, Mark T.
  last_name: Mitchison
- first_name: Paul
  full_name: Erker, Paul
  last_name: Erker
- first_name: Natalia
  full_name: Ares, Natalia
  last_name: Ares
citation:
  ama: Wadhia V, Meier F, Fedele F, et al. Entropic costs of extracting classical
    ticks from a quantum clock. <i>Physical Review Letters</i>. 2025;135(20). doi:<a
    href="https://doi.org/10.1103/5rtj-djfk">10.1103/5rtj-djfk</a>
  apa: Wadhia, V., Meier, F., Fedele, F., Silva, R., Nurgalieva, N., Craig, D. L.,
    … Ares, N. (2025). Entropic costs of extracting classical ticks from a quantum
    clock. <i>Physical Review Letters</i>. American Physical Society. <a href="https://doi.org/10.1103/5rtj-djfk">https://doi.org/10.1103/5rtj-djfk</a>
  chicago: Wadhia, Vivek, Florian Meier, Federico Fedele, Ralph Silva, Nuriya Nurgalieva,
    David L. Craig, Daniel Jirovec, et al. “Entropic Costs of Extracting Classical
    Ticks from a Quantum Clock.” <i>Physical Review Letters</i>. American Physical
    Society, 2025. <a href="https://doi.org/10.1103/5rtj-djfk">https://doi.org/10.1103/5rtj-djfk</a>.
  ieee: V. Wadhia <i>et al.</i>, “Entropic costs of extracting classical ticks from
    a quantum clock,” <i>Physical Review Letters</i>, vol. 135, no. 20. American Physical
    Society, 2025.
  ista: Wadhia V, Meier F, Fedele F, Silva R, Nurgalieva N, Craig DL, Jirovec D, Saez
    Mollejo J, Ballabio A, Chrastina D, Isella G, Huber M, Mitchison MT, Erker P,
    Ares N. 2025. Entropic costs of extracting classical ticks from a quantum clock.
    Physical Review Letters. 135(20), 200407.
  mla: Wadhia, Vivek, et al. “Entropic Costs of Extracting Classical Ticks from a
    Quantum Clock.” <i>Physical Review Letters</i>, vol. 135, no. 20, 200407, American
    Physical Society, 2025, doi:<a href="https://doi.org/10.1103/5rtj-djfk">10.1103/5rtj-djfk</a>.
  short: V. Wadhia, F. Meier, F. Fedele, R. Silva, N. Nurgalieva, D.L. Craig, D. Jirovec,
    J. Saez Mollejo, A. Ballabio, D. Chrastina, G. Isella, M. Huber, M.T. Mitchison,
    P. Erker, N. Ares, Physical Review Letters 135 (2025).
date_created: 2025-11-30T23:02:07Z
date_published: 2025-11-14T00:00:00Z
date_updated: 2025-12-01T15:39:14Z
day: '14'
ddc:
- '530'
department:
- _id: GeKa
doi: 10.1103/5rtj-djfk
external_id:
  arxiv:
  - '2502.00096'
  isi:
  - '001619305100001'
file:
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  checksum: e5c89b95d0f52a38f2d2ada3483f3576
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-01T08:28:00Z
  date_updated: 2025-12-01T08:28:00Z
  file_id: '20718'
  file_name: 2025_PhysReviewLetters_Wadhia.pdf
  file_size: 444198
  relation: main_file
  success: 1
file_date_updated: 2025-12-01T08:28:00Z
has_accepted_license: '1'
intvolume: '       135'
isi: 1
issue: '20'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '11'
oa: 1
oa_version: Published Version
publication: Physical Review Letters
publication_identifier:
  eissn:
  - 1079-7114
  issn:
  - 0031-9007
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Entropic costs of extracting classical ticks from a quantum clock
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: 135
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '20707'
abstract:
- lang: eng
  text: 'Understanding physiological responses during running is critical for performance
    optimization, tailored training prescriptions, and athlete health management.
    We introduce a comprehensive framework—what we believe to be the first capable
    of predicting instantaneous oxygen consumption (VO2) trajectories exclusively
    from consumer-grade wearable data. Our approach employs two complementary physiological
    models: (1) accurate modeling of heart rate (HR) dynamics via a physiologically
    constrained ordinary differential equation (ODE) and neural Kalman filter, trained
    on over 3 million HR observations, achieving 1-second interval predictions with
    mean absolute errors as low as 2.81 bpm (correlation 0.87); and (2) leveraging
    the principles of precise HR modeling, a novel VO2 prediction architecture requiring
    only the initial second of VO2 data for calibration, enabling robust, sequence-to-sequence
    metabolic demand estimation. Despite relying solely on smartwatch and chest-strap
    data, our method achieves mean absolute percentage errors of approximately 13%,
    effectively capturing rapid physiological transitions and steady-state conditions
    across diverse running intensities. Our synchronized dataset, complemented by
    blood lactate measurements, further lays the foundation for future noninvasive
    metabolic zone identification. By embedding physiological constraints within modern
    machine learning, this framework democratizes advanced metabolic monitoring, bridging
    laboratory-grade accuracy and everyday accessibility, thus empowering both elite
    athletes and recreational fitness enthusiasts.'
article_processing_charge: No
arxiv: 1
author:
- first_name: Barak
  full_name: Gahtan, Barak
  last_name: Gahtan
- first_name: Sanketh
  full_name: Vedula, Sanketh
  last_name: Vedula
- first_name: Gil
  full_name: Samuelly Leichtag, Gil
  last_name: Samuelly Leichtag
- first_name: Einat
  full_name: Kodesh, Einat
  last_name: Kodesh
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
citation:
  ama: 'Gahtan B, Vedula S, Samuelly Leichtag G, Kodesh E, Bronstein AM. From lab
    to wrist: Bridging metabolic monitoring and consumer wearables for heart rate
    and oxygen consumption modeling. In: <i>Proceedings of the 27th International
    Conference on Multimodal Interaction</i>. Association for Computing Machinery;
    2025:60-77. doi:<a href="https://doi.org/10.1145/3716553.3750815">10.1145/3716553.3750815</a>'
  apa: 'Gahtan, B., Vedula, S., Samuelly Leichtag, G., Kodesh, E., &#38; Bronstein,
    A. M. (2025). From lab to wrist: Bridging metabolic monitoring and consumer wearables
    for heart rate and oxygen consumption modeling. In <i>Proceedings of the 27th
    International Conference on Multimodal Interaction</i> (pp. 60–77). Canberra,
    Australia: Association for Computing Machinery. <a href="https://doi.org/10.1145/3716553.3750815">https://doi.org/10.1145/3716553.3750815</a>'
  chicago: 'Gahtan, Barak, Sanketh Vedula, Gil Samuelly Leichtag, Einat Kodesh, and
    Alex M. Bronstein. “From Lab to Wrist: Bridging Metabolic Monitoring and Consumer
    Wearables for Heart Rate and Oxygen Consumption Modeling.” In <i>Proceedings of
    the 27th International Conference on Multimodal Interaction</i>, 60–77. Association
    for Computing Machinery, 2025. <a href="https://doi.org/10.1145/3716553.3750815">https://doi.org/10.1145/3716553.3750815</a>.'
  ieee: 'B. Gahtan, S. Vedula, G. Samuelly Leichtag, E. Kodesh, and A. M. Bronstein,
    “From lab to wrist: Bridging metabolic monitoring and consumer wearables for heart
    rate and oxygen consumption modeling,” in <i>Proceedings of the 27th International
    Conference on Multimodal Interaction</i>, Canberra, Australia, 2025, pp. 60–77.'
  ista: 'Gahtan B, Vedula S, Samuelly Leichtag G, Kodesh E, Bronstein AM. 2025. From
    lab to wrist: Bridging metabolic monitoring and consumer wearables for heart rate
    and oxygen consumption modeling. Proceedings of the 27th International Conference
    on Multimodal Interaction. ICMI: International Conference on Multimodal Interaction,
    60–77.'
  mla: 'Gahtan, Barak, et al. “From Lab to Wrist: Bridging Metabolic Monitoring and
    Consumer Wearables for Heart Rate and Oxygen Consumption Modeling.” <i>Proceedings
    of the 27th International Conference on Multimodal Interaction</i>, Association
    for Computing Machinery, 2025, pp. 60–77, doi:<a href="https://doi.org/10.1145/3716553.3750815">10.1145/3716553.3750815</a>.'
  short: B. Gahtan, S. Vedula, G. Samuelly Leichtag, E. Kodesh, A.M. Bronstein, in:,
    Proceedings of the 27th International Conference on Multimodal Interaction, Association
    for Computing Machinery, 2025, pp. 60–77.
conference:
  end_date: 2025-10-17
  location: Canberra, Australia
  name: 'ICMI: International Conference on Multimodal Interaction'
  start_date: 2025-10-13
corr_author: '1'
date_created: 2025-11-30T23:02:08Z
date_published: 2025-10-12T00:00:00Z
date_updated: 2025-12-01T07:22:09Z
day: '12'
ddc:
- '000'
department:
- _id: AlBr
doi: 10.1145/3716553.3750815
external_id:
  arxiv:
  - '2505.00101'
file:
- access_level: open_access
  checksum: f793472a71d27012244567b499a4967f
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-01T07:19:06Z
  date_updated: 2025-12-01T07:19:06Z
  file_id: '20713'
  file_name: 2025_ICMI_Gahtan.pdf
  file_size: 3045062
  relation: main_file
  success: 1
file_date_updated: 2025-12-01T07:19:06Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 60-77
publication: Proceedings of the 27th International Conference on Multimodal Interaction
publication_identifier:
  isbn:
  - '9798400714993'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'From lab to wrist: Bridging metabolic monitoring and consumer wearables for
  heart rate and oxygen consumption modeling'
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: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '20708'
abstract:
- lang: eng
  text: In equilibrium, the physical properties of matter are set by the interactions
    between the constituents. In contrast, the energy input of the individual components
    controls the behavior of synthetic or living active matter. Great progress has
    been made in understanding the emergent phenomena in active fluids, though their
    inability to resist shear forces hinders their practical use. This motivates the
    exploration of active solids as shape-shifting materials, yet, we lack controlled
    synthetic systems to devise active solids with unconventional properties. Here
    we build active elastic beams from dozens of active colloids and unveil complex
    emergent behaviors such as self-oscillations or persistent rotations. Developing
    tensile tests at the microscale, we show that the active beams are ultrasoft materials,
    with large (nonequilibrium) fluctuations. Combining experiments, theory, and stochastic
    inference, we show that the dynamics of the active beams can be mapped on different
    phase transitions which are tuned by boundary conditions. More quantitatively,
    we assess all relevant parameters by independent measurements or first-principles
    calculations, and find that our theoretical description agrees with the experimental
    observations. Our results demonstrate that the simple addition of activity to
    an elastic beam unveils novel physics and can inspire design strategies for active
    solids and functional microscopic machines.
acknowledgement: The authors thank Andela Saric, Christoph Zechner, and Paul Robin
  for helpful discussions. J. P. acknowledges support by ERC grant (VULCAN, 101086998)
  and U.S. ARO under Award No. W911NF2310008. Y. I. L. acknowledges funding from the
  European Union’s Horizon 2020 research and innovation programme under the Marie
  Skłodowska-Curie Grant Agreement No. 101034413.
article_number: '041017'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Quentin
  full_name: Martinet, Quentin
  id: b37485a8-d343-11eb-a0e9-df8c484ef8ab
  last_name: Martinet
  orcid: 0000-0002-2916-6632
- first_name: Yuting I
  full_name: Li, Yuting I
  id: ee7a5ca8-8b71-11ed-b662-b3341c05b7eb
  last_name: Li
- first_name: A.
  full_name: Aubret, A.
  last_name: Aubret
- first_name: Edouard B
  full_name: Hannezo, Edouard B
  id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
  last_name: Hannezo
  orcid: 0000-0001-6005-1561
- first_name: Jérémie A
  full_name: Palacci, Jérémie A
  id: 8fb92548-2b22-11eb-b7c1-a3f0d08d7c7d
  last_name: Palacci
  orcid: 0000-0002-7253-9465
citation:
  ama: Martinet Q, Li YI, Aubret A, Hannezo EB, Palacci JA. Emergent dynamics of active
    elastic microbeams. <i>Physical Review X</i>. 2025;15(4). doi:<a href="https://doi.org/10.1103/rjk2-q2wh">10.1103/rjk2-q2wh</a>
  apa: Martinet, Q., Li, Y. I., Aubret, A., Hannezo, E. B., &#38; Palacci, J. A. (2025).
    Emergent dynamics of active elastic microbeams. <i>Physical Review X</i>. American
    Physical Society. <a href="https://doi.org/10.1103/rjk2-q2wh">https://doi.org/10.1103/rjk2-q2wh</a>
  chicago: Martinet, Quentin, Yuting I Li, A. Aubret, Edouard B Hannezo, and Jérémie
    A Palacci. “Emergent Dynamics of Active Elastic Microbeams.” <i>Physical Review
    X</i>. American Physical Society, 2025. <a href="https://doi.org/10.1103/rjk2-q2wh">https://doi.org/10.1103/rjk2-q2wh</a>.
  ieee: Q. Martinet, Y. I. Li, A. Aubret, E. B. Hannezo, and J. A. Palacci, “Emergent
    dynamics of active elastic microbeams,” <i>Physical Review X</i>, vol. 15, no.
    4. American Physical Society, 2025.
  ista: Martinet Q, Li YI, Aubret A, Hannezo EB, Palacci JA. 2025. Emergent dynamics
    of active elastic microbeams. Physical Review X. 15(4), 041017.
  mla: Martinet, Quentin, et al. “Emergent Dynamics of Active Elastic Microbeams.”
    <i>Physical Review X</i>, vol. 15, no. 4, 041017, American Physical Society, 2025,
    doi:<a href="https://doi.org/10.1103/rjk2-q2wh">10.1103/rjk2-q2wh</a>.
  short: Q. Martinet, Y.I. Li, A. Aubret, E.B. Hannezo, J.A. Palacci, Physical Review
    X 15 (2025).
corr_author: '1'
date_created: 2025-11-30T23:02:08Z
date_published: 2025-10-31T00:00:00Z
date_updated: 2025-12-01T07:44:06Z
day: '31'
ddc:
- '530'
department:
- _id: EdHa
- _id: JePa
doi: 10.1103/rjk2-q2wh
ec_funded: 1
external_id:
  arxiv:
  - '2508.20642'
file:
- access_level: open_access
  checksum: bb64ea9f2c400205fd89e9bdd15cc850
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-01T07:30:00Z
  date_updated: 2025-12-01T07:30:00Z
  file_id: '20714'
  file_name: 2025_PhysicalReviewX_Martinet.pdf
  file_size: 5902259
  relation: main_file
  success: 1
file_date_updated: 2025-12-01T07:30:00Z
has_accepted_license: '1'
intvolume: '        15'
issue: '4'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: bdac72da-d553-11ed-ba76-eae56e802b74
  grant_number: '101086998'
  name: 'VULCAN: matter, powered from within'
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Physical Review X
publication_identifier:
  eissn:
  - 2160-3308
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Emergent dynamics of active elastic microbeams
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: 15
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '20709'
abstract:
- lang: eng
  text: Non-Hermitian many-body localization (NH MBL) has emerged as a possible scenario
    for stable localization in open systems, as suggested by spectral indicators identifying
    a putative transition for finite system sizes. In this work, we shift the focus
    to dynamical probes, specifically the steady-state spin current, to investigate
    transport properties in a disordered, non-Hermitian XXZ spin chain. Through exact
    diagonalization for small systems and tensor-network methods for larger chains,
    we demonstrate that the steady-state current remains finite and decays exponentially
    with disorder strength, showing no evidence of a transition up to disorder values
    far beyond the previously claimed critical point. Our results reveal a stark discrepancy
    between spectral indicators, which suggest localization, and transport behavior,
    which indicates delocalization. This highlights the importance of dynamical observables
    in characterizing NH MBL and suggests that traditional spectral measures may not
    fully capture the physics of non-Hermitian systems. Additionally, we observe a
    noncommutativity of limits in system size and time, further complicating the interpretation
    of finite-size studies. These findings challenge the existence of NH MBL in the
    studied model and underscore the need for alternative approaches to understanding
    localization in non-Hermitian settings.
acknowledgement: "F.B. thanks Giuseppe de Tomasi and Oskar A. Prośniak for discussion.
  P.B. acknowledges support by the Austrian Science Fund (FWF) (Grant Agreement No.
  10.55776/ESP9057324). This research was funded in whole or in part by the Austrian
  Science Fund (FWF) [10.55776/COE1]. The numerical simulations were performed using
  the ITensor library [73] on the Vienna Scientific Cluster (VSC) and on the MPIPKS
  HPC cluster. M.L. acknowledges support by the Deutsche Forschungsgemeinschaft (DFG,
  German Research Foundation) under Germany’s Excellence Strategy—EXC-2111—390814868.
  F.R. acknowledges support by the European Union-Next Generation EU with the project
  “Quantum Optics in Many-Body photonic Environments” (QOMBE) code SOE2024_0000084-CUP
  B77G24000480006. Open\r\naccess publication funded by Max Planck Society."
article_number: L042014
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Pietro
  full_name: Brighi, Pietro
  id: 4115AF5C-F248-11E8-B48F-1D18A9856A87
  last_name: Brighi
  orcid: 0000-0002-7969-2729
- first_name: Marko
  full_name: Ljubotina, Marko
  id: F75EE9BE-5C90-11EA-905D-16643DDC885E
  last_name: Ljubotina
  orcid: 0000-0003-0038-7068
- first_name: Federico
  full_name: Roccati, Federico
  last_name: Roccati
- first_name: Federico
  full_name: Balducci, Federico
  last_name: Balducci
citation:
  ama: Brighi P, Ljubotina M, Roccati F, Balducci F. Finite steady-state current defies
    non-Hermitian many-body localization. <i>Physical Review Research</i>. 2025;7(4).
    doi:<a href="https://doi.org/10.1103/crwj-x7j8">10.1103/crwj-x7j8</a>
  apa: Brighi, P., Ljubotina, M., Roccati, F., &#38; Balducci, F. (2025). Finite steady-state
    current defies non-Hermitian many-body localization. <i>Physical Review Research</i>.
    American Physical Society. <a href="https://doi.org/10.1103/crwj-x7j8">https://doi.org/10.1103/crwj-x7j8</a>
  chicago: Brighi, Pietro, Marko Ljubotina, Federico Roccati, and Federico Balducci.
    “Finite Steady-State Current Defies Non-Hermitian Many-Body Localization.” <i>Physical
    Review Research</i>. American Physical Society, 2025. <a href="https://doi.org/10.1103/crwj-x7j8">https://doi.org/10.1103/crwj-x7j8</a>.
  ieee: P. Brighi, M. Ljubotina, F. Roccati, and F. Balducci, “Finite steady-state
    current defies non-Hermitian many-body localization,” <i>Physical Review Research</i>,
    vol. 7, no. 4. American Physical Society, 2025.
  ista: Brighi P, Ljubotina M, Roccati F, Balducci F. 2025. Finite steady-state current
    defies non-Hermitian many-body localization. Physical Review Research. 7(4), L042014.
  mla: Brighi, Pietro, et al. “Finite Steady-State Current Defies Non-Hermitian Many-Body
    Localization.” <i>Physical Review Research</i>, vol. 7, no. 4, L042014, American
    Physical Society, 2025, doi:<a href="https://doi.org/10.1103/crwj-x7j8">10.1103/crwj-x7j8</a>.
  short: P. Brighi, M. Ljubotina, F. Roccati, F. Balducci, Physical Review Research
    7 (2025).
date_created: 2025-11-30T23:02:08Z
date_published: 2025-10-01T00:00:00Z
date_updated: 2025-12-01T08:02:13Z
day: '01'
ddc:
- '530'
department:
- _id: MaSe
doi: 10.1103/crwj-x7j8
external_id:
  arxiv:
  - '2504.02460'
file:
- access_level: open_access
  checksum: c4e582ab64ab9f8fface70bf2fd31882
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-01T08:00:19Z
  date_updated: 2025-12-01T08:00:19Z
  file_id: '20715'
  file_name: 2025_PhysReviewResearch_Brighi.pdf
  file_size: 483879
  relation: main_file
  success: 1
file_date_updated: 2025-12-01T08:00:19Z
has_accepted_license: '1'
intvolume: '         7'
issue: '4'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
publication: Physical Review Research
publication_identifier:
  eissn:
  - 2643-1564
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Finite steady-state current defies non-Hermitian many-body localization
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: 7
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20710'
abstract:
- lang: eng
  text: 'Mountain glaciers offer opportunities to observe boundary layer exchanges
    in conditions characterized by predominantly stable stratification, thermally
    driven winds, and varying surface roughness. Logistical challenges involved in
    instrumenting glacier surfaces mean that in situ observations remain relatively
    scarce, limiting the use of this outdoor laboratory. The second Hintereisferner
    Experiment (HEFEX II) was carried out on an Austrian Alpine glacier during summer
    2023. This collaborative endeavor, involving 12 institutions from Austria, France,
    Germany, Switzerland, and the United Kingdom, represents an unprecedented set
    of observations of glacier microclimate. Instrumentation on the glacier surface
    consisted of eight 3-m and two 5-m weather stations equipped with multilevel eddy
    covariance systems and auxiliary instrumentation, and eight additional lower-specification
    weather stations. These operated successfully for 26 days with minimal data gaps.
    During a 3-day intensive observational period, additional instrumentation was
    deployed: a short-path ultrasonic anemometer installed very close to the glacier
    surface; a high-speed thermal camera capturing high-resolution boundary layer
    heat transport at the glacier centerline on a synthetic screen; 3D sampling of
    the glacier boundary layer using two meteorological UAVs; and a Streamline XR
    Doppler lidar capturing the structure of the above-valley atmosphere. These novel
    datasets are valuable for improving understanding of glacier–atmosphere exchange
    processes, the role of glaciers in valley circulation, and how both might be affected
    by continued climate change and glacier recession. Here, we detail the scientific
    goals and implementation of the campaign, describe the general weather conditions,
    and present first insights into what the observations reveal about the glacier
    boundary layer features observed during the campaign.'
acknowledgement: Long-term funding of monitoring and infrastructure at Hintereisferner
  is provided by the Federal State of Tirol (Department of Hydrography and Hydrology)
  and the University of Innsbruck. The field participation of A. R. Groos, T. Shaw,
  R. Mott-Grünewald, M. Haugeneder, and R. Albers received Transnational Access from
  the European Union’s H2020 project INTERACT III, under Grant Agreement 871120. The
  research of J. E. Sicart, H. Barral, C. Coulaud, and R. Biron was supported by a
  grant from LabEx OSUG@2020 (Investissements d’avenir—ANR10 LABX56). The research
  of I. Stiperski and C. Charrondiere received funding from the European Research
  Council (ERC) under the European Union’s Horizon 2020 research and innovation program
  (Grant Agreement 101001691). R. Mott acknowledges funding from the Swiss National
  Science Foundation (SNSF) Grant Agreement 200021_219918. Contributions of L. Nicholson,
  T. Sauter, and A. Giorgi were funded in whole or in part by a DFG-FWF WEAVE Grant
  (DFG Grant Agreement 543257843; FWF Grant-DOI 10.55776/PIN1775223). The Pléiades
  images/DEMs used in this study were provided by the Pléiades Glacier Observatory
  initiative of the French Space Agency (CNES) and Laboratoire d’Etudes en Géophysique
  et Océanographie Spatiales (LEGOS). We thank the residents of Rofen for patiently
  putting up with traffic and the noise and dust of helicopter rotations on Sundays
  and public holidays.
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Lindsey
  full_name: Nicholson, Lindsey
  last_name: Nicholson
- first_name: Ivana
  full_name: Stiperski, Ivana
  last_name: Stiperski
- first_name: Giordano
  full_name: Nitti, Giordano
  last_name: Nitti
- first_name: Rainer
  full_name: Prinz, Rainer
  last_name: Prinz
- first_name: Alexander
  full_name: Georgi, Alexander
  last_name: Georgi
- first_name: Alexander R.
  full_name: Groos, Alexander R.
  last_name: Groos
- first_name: Thomas
  full_name: Shaw, Thomas
  id: 3caa3f91-1f03-11ee-96ce-e0e553054d6e
  last_name: Shaw
  orcid: 0000-0001-7640-6152
- first_name: Tobias
  full_name: Sauter, Tobias
  last_name: Sauter
- first_name: Michael
  full_name: Haugeneder, Michael
  last_name: Haugeneder
- first_name: Rebecca
  full_name: Mott, Rebecca
  last_name: Mott
- first_name: Jean Emmanuel
  full_name: Sicart, Jean Emmanuel
  last_name: Sicart
- first_name: Ben W.
  full_name: Brock, Ben W.
  last_name: Brock
- first_name: Roland
  full_name: Albers, Roland
  last_name: Albers
- first_name: Balthazar
  full_name: Allegri, Balthazar
  last_name: Allegri
- first_name: Hélène
  full_name: Barral, Hélène
  last_name: Barral
- first_name: Romain
  full_name: Biron, Romain
  last_name: Biron
- first_name: Claudine
  full_name: Charrondiere, Claudine
  last_name: Charrondiere
- first_name: Catherine
  full_name: Coulaud, Catherine
  last_name: Coulaud
- first_name: Alexander
  full_name: Fischer, Alexander
  last_name: Fischer
- first_name: Dylan
  full_name: Reynolds, Dylan
  last_name: Reynolds
- first_name: Niklas
  full_name: Richter, Niklas
  last_name: Richter
- first_name: Marie
  full_name: Schroeder, Marie
  last_name: Schroeder
- first_name: Phillip
  full_name: Vettori, Phillip
  last_name: Vettori
- first_name: Annelies
  full_name: Voordendag, Annelies
  last_name: Voordendag
- first_name: Carlos
  full_name: Wydra, Carlos
  last_name: Wydra
citation:
  ama: 'Nicholson L, Stiperski I, Nitti G, et al. The second Hintereisferner experiment
    (HEFEX II): Initial insights into boundary layer structure and surface–atmosphere
    exchange processes from intensive observations at a valley glacier. <i>Bulletin
    of the American Meteorological Society</i>. 2025;106(10):E2143-E2169. doi:<a href="https://doi.org/10.1175/BAMS-D-24-0010.1">10.1175/BAMS-D-24-0010.1</a>'
  apa: 'Nicholson, L., Stiperski, I., Nitti, G., Prinz, R., Georgi, A., Groos, A.
    R., … Wydra, C. (2025). The second Hintereisferner experiment (HEFEX II): Initial
    insights into boundary layer structure and surface–atmosphere exchange processes
    from intensive observations at a valley glacier. <i>Bulletin of the American Meteorological
    Society</i>. American Meteorological Society. <a href="https://doi.org/10.1175/BAMS-D-24-0010.1">https://doi.org/10.1175/BAMS-D-24-0010.1</a>'
  chicago: 'Nicholson, Lindsey, Ivana Stiperski, Giordano Nitti, Rainer Prinz, Alexander
    Georgi, Alexander R. Groos, Thomas Shaw, et al. “The Second Hintereisferner Experiment
    (HEFEX II): Initial Insights into Boundary Layer Structure and Surface–Atmosphere
    Exchange Processes from Intensive Observations at a Valley Glacier.” <i>Bulletin
    of the American Meteorological Society</i>. American Meteorological Society, 2025.
    <a href="https://doi.org/10.1175/BAMS-D-24-0010.1">https://doi.org/10.1175/BAMS-D-24-0010.1</a>.'
  ieee: 'L. Nicholson <i>et al.</i>, “The second Hintereisferner experiment (HEFEX
    II): Initial insights into boundary layer structure and surface–atmosphere exchange
    processes from intensive observations at a valley glacier,” <i>Bulletin of the
    American Meteorological Society</i>, vol. 106, no. 10. American Meteorological
    Society, pp. E2143–E2169, 2025.'
  ista: 'Nicholson L, Stiperski I, Nitti G, Prinz R, Georgi A, Groos AR, Shaw T, Sauter
    T, Haugeneder M, Mott R, Sicart JE, Brock BW, Albers R, Allegri B, Barral H, Biron
    R, Charrondiere C, Coulaud C, Fischer A, Reynolds D, Richter N, Schroeder M, Vettori
    P, Voordendag A, Wydra C. 2025. The second Hintereisferner experiment (HEFEX II):
    Initial insights into boundary layer structure and surface–atmosphere exchange
    processes from intensive observations at a valley glacier. Bulletin of the American
    Meteorological Society. 106(10), E2143–E2169.'
  mla: 'Nicholson, Lindsey, et al. “The Second Hintereisferner Experiment (HEFEX II):
    Initial Insights into Boundary Layer Structure and Surface–Atmosphere Exchange
    Processes from Intensive Observations at a Valley Glacier.” <i>Bulletin of the
    American Meteorological Society</i>, vol. 106, no. 10, American Meteorological
    Society, 2025, pp. E2143–69, doi:<a href="https://doi.org/10.1175/BAMS-D-24-0010.1">10.1175/BAMS-D-24-0010.1</a>.'
  short: L. Nicholson, I. Stiperski, G. Nitti, R. Prinz, A. Georgi, A.R. Groos, T.
    Shaw, T. Sauter, M. Haugeneder, R. Mott, J.E. Sicart, B.W. Brock, R. Albers, B.
    Allegri, H. Barral, R. Biron, C. Charrondiere, C. Coulaud, A. Fischer, D. Reynolds,
    N. Richter, M. Schroeder, P. Vettori, A. Voordendag, C. Wydra, Bulletin of the
    American Meteorological Society 106 (2025) E2143–E2169.
date_created: 2025-11-30T23:02:08Z
date_published: 2025-10-01T00:00:00Z
date_updated: 2025-12-01T15:36:06Z
day: '01'
ddc:
- '550'
department:
- _id: FrPe
doi: 10.1175/BAMS-D-24-0010.1
external_id:
  isi:
  - '001608037100001'
file:
- access_level: open_access
  checksum: 5883fc6a9e499b9dbd9828e4993e5035
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-01T08:08:34Z
  date_updated: 2025-12-01T08:08:34Z
  file_id: '20716'
  file_name: 2025_BulletinMeteorolSoc_Nicholson.pdf
  file_size: 3565187
  relation: main_file
  success: 1
file_date_updated: 2025-12-01T08:08:34Z
has_accepted_license: '1'
intvolume: '       106'
isi: 1
issue: '10'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: E2143-E2169
publication: Bulletin of the American Meteorological Society
publication_identifier:
  eissn:
  - 1520-0477
  issn:
  - 0003-0007
publication_status: published
publisher: American Meteorological Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'The second Hintereisferner experiment (HEFEX II): Initial insights into boundary
  layer structure and surface–atmosphere exchange processes from intensive observations
  at a valley glacier'
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: 106
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '20723'
abstract:
- lang: eng
  text: Information-flow interfaces is a formalism recently proposed for specifying,
    composing, and refining system-wide security requirements. In this work, we show
    how the widely used concept of security lattices provides a natural semantic interpretation
    for information-flow interfaces.
acknowledgement: This project was funded in part by the Austrian Science Fund (FWF)
  SFB project SpyCoDe F8502 and by the ERC-2020-AdG 101020093.
alternative_title:
- LNCS
article_processing_charge: No
arxiv: 1
author:
- first_name: Ezio
  full_name: Bartocci, Ezio
  last_name: Bartocci
- 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: Dejan
  full_name: Nickovic, Dejan
  id: 41BCEE5C-F248-11E8-B48F-1D18A9856A87
  last_name: Nickovic
- first_name: Ana
  full_name: Oliveira da Costa, Ana
  id: f347ec37-6676-11ee-b395-a888cb7b4fb4
  last_name: Oliveira da Costa
  orcid: 0000-0002-8741-5799
citation:
  ama: 'Bartocci E, Henzinger TA, Nickovic D, Oliveira da Costa A. Information-Flow
    Interfaces and Security Lattices. In: <i>Engineering Safe and Trustworthy Cyber
    Physical Systems</i>. Vol 15471. Cham: Springer Nature; 2025:251-263. doi:<a href="https://doi.org/10.1007/978-3-031-97537-0_15">10.1007/978-3-031-97537-0_15</a>'
  apa: 'Bartocci, E., Henzinger, T. A., Nickovic, D., &#38; Oliveira da Costa, A.
    (2025). Information-Flow Interfaces and Security Lattices. In <i>Engineering Safe
    and Trustworthy Cyber Physical Systems</i> (Vol. 15471, pp. 251–263). Cham: Springer
    Nature. <a href="https://doi.org/10.1007/978-3-031-97537-0_15">https://doi.org/10.1007/978-3-031-97537-0_15</a>'
  chicago: 'Bartocci, Ezio, Thomas A Henzinger, Dejan Nickovic, and Ana Oliveira da
    Costa. “Information-Flow Interfaces and Security Lattices.” In <i>Engineering
    Safe and Trustworthy Cyber Physical Systems</i>, 15471:251–63. Cham: Springer
    Nature, 2025. <a href="https://doi.org/10.1007/978-3-031-97537-0_15">https://doi.org/10.1007/978-3-031-97537-0_15</a>.'
  ieee: 'E. Bartocci, T. A. Henzinger, D. Nickovic, and A. Oliveira da Costa, “Information-Flow
    Interfaces and Security Lattices,” in <i>Engineering Safe and Trustworthy Cyber
    Physical Systems</i>, vol. 15471, Cham: Springer Nature, 2025, pp. 251–263.'
  ista: 'Bartocci E, Henzinger TA, Nickovic D, Oliveira da Costa A. 2025.Information-Flow
    Interfaces and Security Lattices. In: Engineering Safe and Trustworthy Cyber Physical
    Systems. LNCS, vol. 15471, 251–263.'
  mla: Bartocci, Ezio, et al. “Information-Flow Interfaces and Security Lattices.”
    <i>Engineering Safe and Trustworthy Cyber Physical Systems</i>, vol. 15471, Springer
    Nature, 2025, pp. 251–63, doi:<a href="https://doi.org/10.1007/978-3-031-97537-0_15">10.1007/978-3-031-97537-0_15</a>.
  short: E. Bartocci, T.A. Henzinger, D. Nickovic, A. Oliveira da Costa, in:, Engineering
    Safe and Trustworthy Cyber Physical Systems, Springer Nature, Cham, 2025, pp.
    251–263.
corr_author: '1'
date_created: 2025-12-01T15:44:58Z
date_published: 2025-10-02T00:00:00Z
date_updated: 2025-12-09T07:57:55Z
day: '02'
department:
- _id: ToHe
doi: 10.1007/978-3-031-97537-0_15
ec_funded: 1
external_id:
  arxiv:
  - '2406.14374'
intvolume: '     15471'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2406.14374
month: '10'
oa: 1
oa_version: Preprint
page: 251-263
place: Cham
project:
- _id: 34a1b658-11ca-11ed-8bc3-c75229f0241e
  grant_number: F8502
  name: Interface Theory for Security and Privacy
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
  call_identifier: H2020
  grant_number: '101020093'
  name: Vigilant Algorithmic Monitoring of Software
publication: Engineering Safe and Trustworthy Cyber Physical Systems
publication_identifier:
  eisbn:
  - '9783031975370'
  eissn:
  - 1611-3349
  isbn:
  - '9783031975363'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Information-Flow Interfaces and Security Lattices
type: book_chapter
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15471
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20725'
abstract:
- lang: eng
  text: The canonical mechanism by which the phytohormone auxin regulates transcription
    has been one of the cornerstones of plant signaling. The recent unexpected discovery
    of cyclic AMP (cAMP) as a second messenger in this pathway has revised its foundations
    while leaving many open questions and gaps in our understanding; these will be
    discussed in this forum article.
acknowledgement: I apologize to colleagues whose relevant work I was unable to cite
  due to space limitations. This work was funded by the European Union (ERC, CYNIPS,
  101142681) and Austrian Science Fund (FWF; 37051-B). I thank Drs Huihuang Chen,
  Yuanrong Pei, Jason Reed, Linlin Qi, and Dolf Weijers for inspiration and critical
  input.
article_processing_charge: Yes (via OA deal)
article_type: review
author:
- first_name: Jiří
  full_name: Friml, Jiří
  id: 4159519E-F248-11E8-B48F-1D18A9856A87
  last_name: Friml
  orcid: 0000-0002-8302-7596
citation:
  ama: 'Friml J. Role of cAMP in TIR1/AFB auxin signaling: Open issues. <i>Trends
    in Plant Science</i>. 2025:S1360-1385(25)00300-0. doi:<a href="https://doi.org/10.1016/j.tplants.2025.10.018">10.1016/j.tplants.2025.10.018</a>'
  apa: 'Friml, J. (2025). Role of cAMP in TIR1/AFB auxin signaling: Open issues. <i>Trends
    in Plant Science</i>. Elsevier. <a href="https://doi.org/10.1016/j.tplants.2025.10.018">https://doi.org/10.1016/j.tplants.2025.10.018</a>'
  chicago: 'Friml, Jiří. “Role of CAMP in TIR1/AFB Auxin Signaling: Open Issues.”
    <i>Trends in Plant Science</i>. Elsevier, 2025. <a href="https://doi.org/10.1016/j.tplants.2025.10.018">https://doi.org/10.1016/j.tplants.2025.10.018</a>.'
  ieee: 'J. Friml, “Role of cAMP in TIR1/AFB auxin signaling: Open issues,” <i>Trends
    in Plant Science</i>. Elsevier, pp. S1360-1385(25)00300–0, 2025.'
  ista: 'Friml J. 2025. Role of cAMP in TIR1/AFB auxin signaling: Open issues. Trends
    in Plant Science., S1360-1385(25)00300–0.'
  mla: 'Friml, Jiří. “Role of CAMP in TIR1/AFB Auxin Signaling: Open Issues.” <i>Trends
    in Plant Science</i>, Elsevier, 2025, pp. S1360-1385(25)00300-0, doi:<a href="https://doi.org/10.1016/j.tplants.2025.10.018">10.1016/j.tplants.2025.10.018</a>.'
  short: J. Friml, Trends in Plant Science (2025) S1360-1385(25)00300–0.
corr_author: '1'
date_created: 2025-12-02T16:29:22Z
date_published: 2025-11-16T00:00:00Z
date_updated: 2025-12-09T08:04:58Z
day: '16'
ddc:
- '580'
department:
- _id: JiFr
doi: 10.1016/j.tplants.2025.10.018
external_id:
  pmid:
  - '41249070'
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1016/j.tplants.2025.10.018
month: '11'
oa: 1
oa_version: Published Version
page: S1360-1385(25)00300-0
pmid: 1
project:
- _id: 8f347782-16d5-11f0-9cad-8c19706ee739
  grant_number: '101142681'
  name: Cyclic nucleotides as second messengers in plants
- _id: 7bcece63-9f16-11ee-852c-ae94e099eeb6
  grant_number: P37051
  name: Guanylate cyclase activity of TIR1/AFBs auxin receptors
publication: Trends in Plant Science
publication_identifier:
  eissn:
  - 1878-4372
  issn:
  - 1360-1385
publication_status: epub_ahead
publisher: Elsevier
scopus_import: '1'
status: public
title: 'Role of cAMP in TIR1/AFB auxin signaling: Open issues'
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
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '20728'
abstract:
- lang: eng
  text: Glaciers are often located in steep mountain settings and avalanches from
    surrounding slopes can strongly influence snow accumulation patterns on their
    surface. This effect has however never been quantified for more than a few glaciers
    and the impact on the future evolution of glaciers is unclear. We coupled an avalanche
    and a glacier model to estimate the contribution of avalanches to the accumulation
    of all glaciers in the world and how this affects their evolution throughout the
    21st century. Globally, 3% of the snow accumulation on glaciers comes from avalanches
    and 1% is removed by avalanches. This net contribution varies between regions
    and glaciers, with a maximum of 15% for New Zealand. Accounting for avalanches
    modifies the altitudinal pattern of glacier mass balance and the projected evolution
    of individual glaciers. The main effects include (1) a longer persistence of small
    glaciers, with for example three times more ice retained by glaciers smaller than
    1 km2 in Central Europe under a low-emission scenario, and (2) an increased sensitivity
    of high-elevation accumulation zones to future warming. We anticipate the relative
    influence of avalanches to increase in the future and advocate for a better monitoring
    of this process and representation in glacier models.
acknowledgement: This project has received funding from the Swiss National Science
  Foundation (SNSF) under the Postdoc. Mobility programme, grant agreement P500PN_210739,
  CAIRN (MK), “Contribution of avalanches to glacier mass balance”, and grant agreement
  P5R5PN_225605, CAIRN-GLOBAL (MK), “Contribution of avalanches to glacier mass balance
  at the global scale”. The authors would like to acknowledge the OGGM community for
  the extensive online documentation, data resources (OGGM-shop) and computing infrastructure
  that were used as part of this study.
article_number: '10122'
article_processing_charge: Yes
article_type: original
author:
- first_name: Marin
  full_name: Kneib, Marin
  last_name: Kneib
- first_name: Fabien
  full_name: Maussion, Fabien
  last_name: Maussion
- first_name: Fanny
  full_name: Brun, Fanny
  last_name: Brun
- first_name: Guillem
  full_name: Carcanade, Guillem
  last_name: Carcanade
- first_name: Daniel
  full_name: Farinotti, Daniel
  last_name: Farinotti
- first_name: Matthias
  full_name: Huss, Matthias
  last_name: Huss
- first_name: Marit
  full_name: Van Tiel, Marit
  last_name: Van Tiel
- first_name: Achille
  full_name: Jouberton, Achille
  id: f2426a39-920b-11f0-ac40-cbeda2086b9c
  last_name: Jouberton
- first_name: Patrick
  full_name: Schmitt, Patrick
  last_name: Schmitt
- first_name: Lilian
  full_name: Schuster, Lilian
  last_name: Schuster
- first_name: Amaury
  full_name: Dehecq, Amaury
  last_name: Dehecq
- first_name: Nicolas
  full_name: Champollion, Nicolas
  last_name: Champollion
citation:
  ama: Kneib M, Maussion F, Brun F, et al. Topographically-controlled contribution
    of avalanches to glacier mass balance in the 21st century. <i>Nature Communications</i>.
    2025;16. doi:<a href="https://doi.org/10.1038/s41467-025-65608-z">10.1038/s41467-025-65608-z</a>
  apa: Kneib, M., Maussion, F., Brun, F., Carcanade, G., Farinotti, D., Huss, M.,
    … Champollion, N. (2025). Topographically-controlled contribution of avalanches
    to glacier mass balance in the 21st century. <i>Nature Communications</i>. Springer
    Nature. <a href="https://doi.org/10.1038/s41467-025-65608-z">https://doi.org/10.1038/s41467-025-65608-z</a>
  chicago: Kneib, Marin, Fabien Maussion, Fanny Brun, Guillem Carcanade, Daniel Farinotti,
    Matthias Huss, Marit Van Tiel, et al. “Topographically-Controlled Contribution
    of Avalanches to Glacier Mass Balance in the 21st Century.” <i>Nature Communications</i>.
    Springer Nature, 2025. <a href="https://doi.org/10.1038/s41467-025-65608-z">https://doi.org/10.1038/s41467-025-65608-z</a>.
  ieee: M. Kneib <i>et al.</i>, “Topographically-controlled contribution of avalanches
    to glacier mass balance in the 21st century,” <i>Nature Communications</i>, vol.
    16. Springer Nature, 2025.
  ista: Kneib M, Maussion F, Brun F, Carcanade G, Farinotti D, Huss M, Van Tiel M,
    Jouberton A, Schmitt P, Schuster L, Dehecq A, Champollion N. 2025. Topographically-controlled
    contribution of avalanches to glacier mass balance in the 21st century. Nature
    Communications. 16, 10122.
  mla: Kneib, Marin, et al. “Topographically-Controlled Contribution of Avalanches
    to Glacier Mass Balance in the 21st Century.” <i>Nature Communications</i>, vol.
    16, 10122, Springer Nature, 2025, doi:<a href="https://doi.org/10.1038/s41467-025-65608-z">10.1038/s41467-025-65608-z</a>.
  short: M. Kneib, F. Maussion, F. Brun, G. Carcanade, D. Farinotti, M. Huss, M. Van
    Tiel, A. Jouberton, P. Schmitt, L. Schuster, A. Dehecq, N. Champollion, Nature
    Communications 16 (2025).
date_created: 2025-12-07T23:02:00Z
date_published: 2025-12-01T00:00:00Z
date_updated: 2025-12-09T12:38:44Z
day: '01'
ddc:
- '550'
department:
- _id: FrPe
doi: 10.1038/s41467-025-65608-z
external_id:
  pmid:
  - '41298449'
file:
- access_level: open_access
  checksum: 5d8e420caa8259b67801f7c87e318d2e
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-09T12:37:14Z
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file_date_updated: 2025-12-09T12:37:14Z
has_accepted_license: '1'
intvolume: '        16'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
publication: Nature Communications
publication_identifier:
  eissn:
  - 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Topographically-controlled contribution of avalanches to glacier mass balance
  in the 21st century
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: 16
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '20729'
abstract:
- lang: eng
  text: 'Persistence modules (defined as a sequence of vector spaces and linear maps
    between them) are a key tool in topological data analysis. They are easy to interpret
    and fast to compute. However, when considering persistence maps (i.e. maps between
    persistence modules), these properties are lost. We propose a new invariant for
    persistence maps consisting of a partial matching such that: it is easy to interpret,
    it is more discriminative than the image of the persistence map, and can be calculated
    with cubical complexity.'
acknowledgement: Álvaro Torras-Casas contract is funded by the French Agence Nationale
  de la Recherche through the project reference ANR-22-CPJ1-0047-01. Rocio Gonzalez-Diaz
  is partially funded by the European Union under grant agreement no. 101070028-2
  (REXASI-PRO).
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Rocio
  full_name: Gonzalez-Diaz, Rocio
  last_name: Gonzalez-Diaz
- first_name: Manuel
  full_name: Soriano Trigueros, Manuel
  id: 15ebd7cf-15bf-11ee-aebd-bb4bb5121ea8
  last_name: Soriano Trigueros
  orcid: 0000-0003-2449-1433
- first_name: Alvaro
  full_name: Torras-Casas, Alvaro
  last_name: Torras-Casas
citation:
  ama: 'Gonzalez-Diaz R, Soriano Trigueros M, Torras-Casas A. Additive partial matchings
    for persistent homology. In: <i>Proceedings of the 2025 International Symposium
    on Symbolic and Algebraic Computation</i>. Association for Computing Machinery;
    2025:188-196. doi:<a href="https://doi.org/10.1145/3747199.3747561">10.1145/3747199.3747561</a>'
  apa: 'Gonzalez-Diaz, R., Soriano Trigueros, M., &#38; Torras-Casas, A. (2025). Additive
    partial matchings for persistent homology. In <i>Proceedings of the 2025 International
    Symposium on Symbolic and Algebraic Computation</i> (pp. 188–196). Guanajuato,
    Mexico: Association for Computing Machinery. <a href="https://doi.org/10.1145/3747199.3747561">https://doi.org/10.1145/3747199.3747561</a>'
  chicago: Gonzalez-Diaz, Rocio, Manuel Soriano Trigueros, and Alvaro Torras-Casas.
    “Additive Partial Matchings for Persistent Homology.” In <i>Proceedings of the
    2025 International Symposium on Symbolic and Algebraic Computation</i>, 188–96.
    Association for Computing Machinery, 2025. <a href="https://doi.org/10.1145/3747199.3747561">https://doi.org/10.1145/3747199.3747561</a>.
  ieee: R. Gonzalez-Diaz, M. Soriano Trigueros, and A. Torras-Casas, “Additive partial
    matchings for persistent homology,” in <i>Proceedings of the 2025 International
    Symposium on Symbolic and Algebraic Computation</i>, Guanajuato, Mexico, 2025,
    pp. 188–196.
  ista: 'Gonzalez-Diaz R, Soriano Trigueros M, Torras-Casas A. 2025. Additive partial
    matchings for persistent homology. Proceedings of the 2025 International Symposium
    on Symbolic and Algebraic Computation. ISSAC: International Symposium on Symbolic
    and Algebraic Computation, 188–196.'
  mla: Gonzalez-Diaz, Rocio, et al. “Additive Partial Matchings for Persistent Homology.”
    <i>Proceedings of the 2025 International Symposium on Symbolic and Algebraic Computation</i>,
    Association for Computing Machinery, 2025, pp. 188–96, doi:<a href="https://doi.org/10.1145/3747199.3747561">10.1145/3747199.3747561</a>.
  short: R. Gonzalez-Diaz, M. Soriano Trigueros, A. Torras-Casas, in:, Proceedings
    of the 2025 International Symposium on Symbolic and Algebraic Computation, Association
    for Computing Machinery, 2025, pp. 188–196.
conference:
  end_date: 2025-08-01
  location: Guanajuato, Mexico
  name: 'ISSAC: International Symposium on Symbolic and Algebraic Computation'
  start_date: 2025-07-28
corr_author: '1'
date_created: 2025-12-07T23:02:01Z
date_published: 2025-11-10T00:00:00Z
date_updated: 2025-12-09T13:46:42Z
day: '10'
ddc:
- '510'
department:
- _id: HeEd
doi: 10.1145/3747199.3747561
file:
- access_level: open_access
  checksum: 1c299cca165a20e2518afe4fda63dbf1
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has_accepted_license: '1'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
page: 188-196
publication: Proceedings of the 2025 International Symposium on Symbolic and Algebraic
  Computation
publication_identifier:
  isbn:
  - '9798400720758'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: Additive partial matchings for persistent homology
tmp:
  image: /images/cc_by.png
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  short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20730'
abstract:
- lang: eng
  text: Radio-frequency measurements could satisfy DiVincenzo’s readout criterion
    in future large-scale solid-state quantum processors, as they allow for high bandwidths
    and frequency multiplexing. However, the scalability potential of this readout
    technique can only be leveraged if quantum device tuning is performed using exclusively
    radio-frequency measurements, that is, without resorting to current measurements.
    We demonstrate an algorithm that performs automatic coarse tuning of double quantum
    dots with only radio-frequency measurements by exploiting their bandwidth and
    impedance matching. The tuning was completed within a few minutes with minimal
    prior knowledge about the device. Our results show that it is possible to eliminate
    the need for transport measurements for quantum-dot tuning, paving the way for
    more scalable device architectures.
acknowledged_ssus:
- _id: NanoFab
acknowledgement: We thank Nicholas Sim for providing help with the rf cavities and
  David Craig for his feedback on the paper. This work was supported by the Royal
  Society (URF-R1-191150), the EPSRC National Quantum Technology Hub in Networked
  Quantum Information Technology (EP/M013243/1), Quantum Technology Capital (EP/N014995/1),
  EPSRC Platform Grant (EP/R029229/1), the European Research Council (Grant Agreement
  948932), the Scientific Service Units of IST Austria through resources provided
  by the nanofabrication facility, the FWF-P 30207, and FWF-I 05060 projects, and
  Grant No. FQXi-IAF19-01 from the Foundational Questions Institute Fund, a donor-advised
  fund of Silicon Valley Community Foundation.
article_number: '054030'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Barnaby
  full_name: Van Straaten, Barnaby
  last_name: Van Straaten
- first_name: Federico
  full_name: Fedele, Federico
  last_name: Fedele
- first_name: Florian
  full_name: Vigneau, Florian
  last_name: Vigneau
- first_name: Joseph
  full_name: Hickie, Joseph
  last_name: Hickie
- first_name: Daniel
  full_name: Jirovec, Daniel
  id: 4C473F58-F248-11E8-B48F-1D18A9856A87
  last_name: Jirovec
  orcid: 0000-0002-7197-4801
- first_name: Andrea
  full_name: Ballabio, Andrea
  last_name: Ballabio
- first_name: Daniel
  full_name: Chrastina, Daniel
  last_name: Chrastina
- first_name: Giovanni
  full_name: Isella, Giovanni
  last_name: Isella
- first_name: Georgios
  full_name: Katsaros, Georgios
  id: 38DB5788-F248-11E8-B48F-1D18A9856A87
  last_name: Katsaros
  orcid: 0000-0001-8342-202X
- first_name: Natalia
  full_name: Ares, Natalia
  last_name: Ares
citation:
  ama: Van Straaten B, Fedele F, Vigneau F, et al. All-rf-based coarse-tuning algorithm
    for quantum devices using machine learning. <i>Physical Review Applied</i>. 2025;24(5).
    doi:<a href="https://doi.org/10.1103/v11m-dbhm">10.1103/v11m-dbhm</a>
  apa: Van Straaten, B., Fedele, F., Vigneau, F., Hickie, J., Jirovec, D., Ballabio,
    A., … Ares, N. (2025). All-rf-based coarse-tuning algorithm for quantum devices
    using machine learning. <i>Physical Review Applied</i>. American Physical Society.
    <a href="https://doi.org/10.1103/v11m-dbhm">https://doi.org/10.1103/v11m-dbhm</a>
  chicago: Van Straaten, Barnaby, Federico Fedele, Florian Vigneau, Joseph Hickie,
    Daniel Jirovec, Andrea Ballabio, Daniel Chrastina, Giovanni Isella, Georgios Katsaros,
    and Natalia Ares. “All-Rf-Based Coarse-Tuning Algorithm for Quantum Devices Using
    Machine Learning.” <i>Physical Review Applied</i>. American Physical Society,
    2025. <a href="https://doi.org/10.1103/v11m-dbhm">https://doi.org/10.1103/v11m-dbhm</a>.
  ieee: B. Van Straaten <i>et al.</i>, “All-rf-based coarse-tuning algorithm for quantum
    devices using machine learning,” <i>Physical Review Applied</i>, vol. 24, no.
    5. American Physical Society, 2025.
  ista: Van Straaten B, Fedele F, Vigneau F, Hickie J, Jirovec D, Ballabio A, Chrastina
    D, Isella G, Katsaros G, Ares N. 2025. All-rf-based coarse-tuning algorithm for
    quantum devices using machine learning. Physical Review Applied. 24(5), 054030.
  mla: Van Straaten, Barnaby, et al. “All-Rf-Based Coarse-Tuning Algorithm for Quantum
    Devices Using Machine Learning.” <i>Physical Review Applied</i>, vol. 24, no.
    5, 054030, American Physical Society, 2025, doi:<a href="https://doi.org/10.1103/v11m-dbhm">10.1103/v11m-dbhm</a>.
  short: B. Van Straaten, F. Fedele, F. Vigneau, J. Hickie, D. Jirovec, A. Ballabio,
    D. Chrastina, G. Isella, G. Katsaros, N. Ares, Physical Review Applied 24 (2025).
date_created: 2025-12-07T23:02:01Z
date_published: 2025-11-01T00:00:00Z
date_updated: 2025-12-09T14:49:35Z
day: '01'
ddc:
- '530'
department:
- _id: GeKa
doi: 10.1103/v11m-dbhm
file:
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  checksum: 9906b32c7e3c79ed13d05ef88ff15586
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-09T13:34:38Z
  date_updated: 2025-12-09T13:34:38Z
  file_id: '20748'
  file_name: 2025_PhysReviewApplied_vanStraaten.pdf
  file_size: 5754118
  relation: main_file
  success: 1
file_date_updated: 2025-12-09T13:34:38Z
has_accepted_license: '1'
intvolume: '        24'
issue: '5'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 2641CE5E-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P30207
  name: Hole spin orbit qubits in Ge quantum wells
- _id: c0977eea-5a5b-11eb-8a69-a862db0cf4d1
  grant_number: I05060
  name: High impedance circuit quantum electrodynamics with hole spins
publication: Physical Review Applied
publication_identifier:
  eissn:
  - 2331-7019
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
related_material:
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    relation: research_data
    status: public
scopus_import: '1'
status: public
title: All-rf-based coarse-tuning algorithm for quantum devices using machine learning
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
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  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20731'
abstract:
- lang: eng
  text: The adult human brain, under resting conditions, consumes approximately 20%
    of total body glucose, a demand that is even higher during the first decade of
    life. The brain metabolic landscape is intricately regulated throughout development,
    and each cell type exhibits distinct metabolic signatures at each specific stage.
    This picture becomes even more intricate when considering that metabolism is dynamically
    modulated to sustain critical biological processes, such as cell proliferation
    and differentiation and synaptic activity–dependent processes. The orchestration
    between metabolic regulation and the aforementioned physiological processes often
    relies on metabolism-dependent changes in the epigenetic landscape, which shape
    gene expression patterns to trigger selected downstream biological responses.
    Perturbations of brain metabolic pathways are frequently the cause of severe neurodevelopmental
    disorders. This review explores the latest insights into the regulation of brain
    metabolism in health and disease.
acknowledgement: Funding provided by the European Union (grant 101057429) to G.N.
article_processing_charge: Yes (in subscription journal)
article_type: review
author:
- first_name: Domenico
  full_name: Marano, Domenico
  id: 3b004c42-803f-11ed-ab7e-ecee8f08bd58
  last_name: Marano
- first_name: Vittoria
  full_name: Mariano, Vittoria
  id: ee829c33-edb3-11ed-b4fb-c020aaca4b01
  last_name: Mariano
- first_name: Gaia
  full_name: Novarino, Gaia
  id: 3E57A680-F248-11E8-B48F-1D18A9856A87
  last_name: Novarino
  orcid: 0000-0002-7673-7178
citation:
  ama: 'Marano D, Mariano V, Novarino G. Fueling the mind: Brain metabolism in health
    and neurodevelopmental disorders. <i>Annual Review of Genetics</i>. 2025;59:415-434.
    doi:<a href="https://doi.org/10.1146/annurev-genet-111523-102424">10.1146/annurev-genet-111523-102424</a>'
  apa: 'Marano, D., Mariano, V., &#38; Novarino, G. (2025). Fueling the mind: Brain
    metabolism in health and neurodevelopmental disorders. <i>Annual Review of Genetics</i>.
    Annual Reviews. <a href="https://doi.org/10.1146/annurev-genet-111523-102424">https://doi.org/10.1146/annurev-genet-111523-102424</a>'
  chicago: 'Marano, Domenico, Vittoria Mariano, and Gaia Novarino. “Fueling the Mind:
    Brain Metabolism in Health and Neurodevelopmental Disorders.” <i>Annual Review
    of Genetics</i>. Annual Reviews, 2025. <a href="https://doi.org/10.1146/annurev-genet-111523-102424">https://doi.org/10.1146/annurev-genet-111523-102424</a>.'
  ieee: 'D. Marano, V. Mariano, and G. Novarino, “Fueling the mind: Brain metabolism
    in health and neurodevelopmental disorders,” <i>Annual Review of Genetics</i>,
    vol. 59. Annual Reviews, pp. 415–434, 2025.'
  ista: 'Marano D, Mariano V, Novarino G. 2025. Fueling the mind: Brain metabolism
    in health and neurodevelopmental disorders. Annual Review of Genetics. 59, 415–434.'
  mla: 'Marano, Domenico, et al. “Fueling the Mind: Brain Metabolism in Health and
    Neurodevelopmental Disorders.” <i>Annual Review of Genetics</i>, vol. 59, Annual
    Reviews, 2025, pp. 415–34, doi:<a href="https://doi.org/10.1146/annurev-genet-111523-102424">10.1146/annurev-genet-111523-102424</a>.'
  short: D. Marano, V. Mariano, G. Novarino, Annual Review of Genetics 59 (2025) 415–434.
corr_author: '1'
date_created: 2025-12-07T23:02:01Z
date_published: 2025-11-03T00:00:00Z
date_updated: 2025-12-09T12:55:11Z
day: '03'
ddc:
- '570'
department:
- _id: GaNo
doi: 10.1146/annurev-genet-111523-102424
external_id:
  pmid:
  - '40902207'
file:
- access_level: open_access
  checksum: 1000228dc9aca3d48e92605607a99c41
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-09T12:53:09Z
  date_updated: 2025-12-09T12:53:09Z
  file_id: '20745'
  file_name: 2025_AnnualRevGenetics_Marano.pdf
  file_size: 3629986
  relation: main_file
  success: 1
file_date_updated: 2025-12-09T12:53:09Z
has_accepted_license: '1'
intvolume: '        59'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
page: 415-434
pmid: 1
project:
- _id: 349d1832-11ca-11ed-8bc3-d79b574010e0
  grant_number: '101057429'
  name: Reducing the impact of major environmental challenges on mental health
publication: Annual Review of Genetics
publication_identifier:
  eissn:
  - 1545-2948
  issn:
  - 0066-4197
publication_status: published
publisher: Annual Reviews
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Fueling the mind: Brain metabolism in health and neurodevelopmental disorders'
tmp:
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  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: 59
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '20732'
abstract:
- lang: eng
  text: 'We investigate the real-time dynamics of a quenched quantum impurity immersed
    in a one-dimensional ultracold Fermi gas, focusing on the breakdown of the adiabatic
    Born-Oppenheimer approximation due to nonadiabatic effects. Despite a sizable
    impurity-bath mass imbalance, increasing interactions induce strong nonadiabatic
    couplings, disrupting adiabatic motion and enabling population transfer between
    the adiabatic potential energy curves. These transitions are governed by conical
    intersections arising from the pseudo Jahn-Teller effect, dynamically shaping
    the impurity''s motion through the bath. Using ab initio simulations via the multilayer
    multiconfiguration time-dependent Hartree method and a multichannel Born-Oppenheimer
    framework, we track the impurity''s evolution and directly prove the dynamical
    manifestation of the pseudo Jahn-Teller effect. We analyze two key scenarios:
    (i) a small initial shift, where a single avoided crossing drives transitions,
    and (ii) a large shift, where multiple avoided crossings lead to enhanced nonadiabaticity,
    self-trapping, and energy redistribution. Our findings establish ultracold fermionic
    few-body systems as tunable platforms for studying nonadiabatic quantum dynamics,
    opening new avenues for controlled impurity transport in strongly correlated environments.'
acknowledgement: 'This work has been funded by the Cluster of Excellence “Advanced
  Imaging of Matter” of the Deutsche Forschungsgemeinschaft (DFG) - EXC 2056 - Project
  ID 390715994. G.K.M. has received funding from the Austrian Science Fund (FWF) [DOI:
  10.55776/F1004].'
article_number: '033088'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: A.
  full_name: Becker, A.
  last_name: Becker
- first_name: Georgios
  full_name: Koutentakis, Georgios
  id: d7b23d3a-9e21-11ec-b482-f76739596b95
  last_name: Koutentakis
- first_name: P.
  full_name: Schmelcher, P.
  last_name: Schmelcher
citation:
  ama: Becker A, Koutentakis G, Schmelcher P. Dynamical probe of the pseudo Jahn-Teller
    effect in one-dimensional confined fermions. <i>Physical Review Research</i>.
    2025;7(3). doi:<a href="https://doi.org/10.1103/2fr6-b59y">10.1103/2fr6-b59y</a>
  apa: Becker, A., Koutentakis, G., &#38; Schmelcher, P. (2025). Dynamical probe of
    the pseudo Jahn-Teller effect in one-dimensional confined fermions. <i>Physical
    Review Research</i>. American Physical Society. <a href="https://doi.org/10.1103/2fr6-b59y">https://doi.org/10.1103/2fr6-b59y</a>
  chicago: Becker, A., Georgios Koutentakis, and P. Schmelcher. “Dynamical Probe of
    the Pseudo Jahn-Teller Effect in One-Dimensional Confined Fermions.” <i>Physical
    Review Research</i>. American Physical Society, 2025. <a href="https://doi.org/10.1103/2fr6-b59y">https://doi.org/10.1103/2fr6-b59y</a>.
  ieee: A. Becker, G. Koutentakis, and P. Schmelcher, “Dynamical probe of the pseudo
    Jahn-Teller effect in one-dimensional confined fermions,” <i>Physical Review Research</i>,
    vol. 7, no. 3. American Physical Society, 2025.
  ista: Becker A, Koutentakis G, Schmelcher P. 2025. Dynamical probe of the pseudo
    Jahn-Teller effect in one-dimensional confined fermions. Physical Review Research.
    7(3), 033088.
  mla: Becker, A., et al. “Dynamical Probe of the Pseudo Jahn-Teller Effect in One-Dimensional
    Confined Fermions.” <i>Physical Review Research</i>, vol. 7, no. 3, 033088, American
    Physical Society, 2025, doi:<a href="https://doi.org/10.1103/2fr6-b59y">10.1103/2fr6-b59y</a>.
  short: A. Becker, G. Koutentakis, P. Schmelcher, Physical Review Research 7 (2025).
corr_author: '1'
date_created: 2025-12-07T23:02:02Z
date_published: 2025-07-01T00:00:00Z
date_updated: 2025-12-09T14:16:15Z
day: '01'
ddc:
- '530'
department:
- _id: MiLe
doi: 10.1103/2fr6-b59y
external_id:
  arxiv:
  - '2503.09835'
file:
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  checksum: b9f5ccd6957759b0e578bc817a050532
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  creator: dernst
  date_created: 2025-12-09T14:14:46Z
  date_updated: 2025-12-09T14:14:46Z
  file_id: '20754'
  file_name: 2025_PhysReviewResearch_Becker.pdf
  file_size: 2878032
  relation: main_file
  success: 1
file_date_updated: 2025-12-09T14:14:46Z
has_accepted_license: '1'
intvolume: '         7'
issue: '3'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 7c040762-9f16-11ee-852c-dd79eeee4ab3
  grant_number: F100403
  name: Coherent Optical Metrology Beyond Electric-Dipole-Allowed Transitions
publication: Physical Review Research
publication_identifier:
  issn:
  - 2643-1564
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Dynamical probe of the pseudo Jahn-Teller effect in one-dimensional confined
  fermions
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: 7
year: '2025'
...
---
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '20733'
abstract:
- lang: eng
  text: The conversion of thermal energy into work is usually more efficient in the
    slow-driving regime, where the power output is vanishingly small. Efficient work
    extraction for fast-driving protocols remains an outstanding challenge at the
    nanoscale, where fluctuations play a significant role. In this Letter, we use
    a quantum-dot Szilard engine to extract work from thermal fluctuations with maximum
    efficiency over two decades of driving speed. We design and implement a family
    of optimized protocols ranging from the slow- to the fast-driving regime, and
    we measure the engine's efficiency as well as the mean and variance of its power
    output in each case. These optimized protocols exhibit significant improvements
    in power and efficiency compared to the naive approach. Our results also show
    that, when optimizing for efficiency, boosting the power output of a Szilard engine
    inevitably comes at the cost of increased power fluctuations.
acknowledgement: We thank Georgios Katsaros for providing the device for this experiment.
  K.A. and N.A. acknowledge the support provided by funding from the Engineering and
  Physical Sciences Research Council IAA (Grant No. EP/X525777/1). N.A. acknowledges
  support from the European Research Council (Grant Agreement No. 948932) and the
  Royal Society (URF-R1-191150). A.R. is supported by the Swiss National Science Foundation
  through a Postdoc. Mobility (Grant No. P500PT 225461). M.T.M. is supported by a
  Royal Society University Research Fellowship. M.P.-L. is supported by the Grant
  RYC2022-036958-I funded by the Spanish MICIU/AEI/10.13039/501100011033 and by ESF+.
  This project is cofunded by the European Union and UK Research & Innovation (Quantum
  Flagship project ASPECTS, Grant Agreement No. 101080167). However, views and opinions
  expressed are those of the authors only and do not necessarily reflect those of
  the European Union, Research Executive Agency, or UK Research & Innovation. Neither
  the European Union nor UK Research & Innovation can be held responsible for them.
article_number: L032017
article_processing_charge: Yes
article_type: letter_note
arxiv: 1
author:
- first_name: Kushagra
  full_name: Aggarwal, Kushagra
  last_name: Aggarwal
- first_name: Alberto
  full_name: Rolandi, Alberto
  last_name: Rolandi
- first_name: Yikai
  full_name: Yang, Yikai
  last_name: Yang
- first_name: Joseph
  full_name: Hickie, Joseph
  last_name: Hickie
- first_name: Daniel
  full_name: Jirovec, Daniel
  id: 4C473F58-F248-11E8-B48F-1D18A9856A87
  last_name: Jirovec
  orcid: 0000-0002-7197-4801
- first_name: Andrea
  full_name: Ballabio, Andrea
  last_name: Ballabio
- first_name: Daniel
  full_name: Chrastina, Daniel
  last_name: Chrastina
- first_name: Giovanni
  full_name: Isella, Giovanni
  last_name: Isella
- first_name: Mark T.
  full_name: Mitchison, Mark T.
  last_name: Mitchison
- first_name: Martí
  full_name: Perarnau-Llobet, Martí
  last_name: Perarnau-Llobet
- first_name: Natalia
  full_name: Ares, Natalia
  last_name: Ares
citation:
  ama: Aggarwal K, Rolandi A, Yang Y, et al. Rapid optimal work extraction from a
    quantum-dot information engine. <i>Physical Review Research</i>. 2025;7(3). doi:<a
    href="https://doi.org/10.1103/q3dx-kyqj">10.1103/q3dx-kyqj</a>
  apa: Aggarwal, K., Rolandi, A., Yang, Y., Hickie, J., Jirovec, D., Ballabio, A.,
    … Ares, N. (2025). Rapid optimal work extraction from a quantum-dot information
    engine. <i>Physical Review Research</i>. American Physical Society. <a href="https://doi.org/10.1103/q3dx-kyqj">https://doi.org/10.1103/q3dx-kyqj</a>
  chicago: Aggarwal, Kushagra, Alberto Rolandi, Yikai Yang, Joseph Hickie, Daniel
    Jirovec, Andrea Ballabio, Daniel Chrastina, et al. “Rapid Optimal Work Extraction
    from a Quantum-Dot Information Engine.” <i>Physical Review Research</i>. American
    Physical Society, 2025. <a href="https://doi.org/10.1103/q3dx-kyqj">https://doi.org/10.1103/q3dx-kyqj</a>.
  ieee: K. Aggarwal <i>et al.</i>, “Rapid optimal work extraction from a quantum-dot
    information engine,” <i>Physical Review Research</i>, vol. 7, no. 3. American
    Physical Society, 2025.
  ista: Aggarwal K, Rolandi A, Yang Y, Hickie J, Jirovec D, Ballabio A, Chrastina
    D, Isella G, Mitchison MT, Perarnau-Llobet M, Ares N. 2025. Rapid optimal work
    extraction from a quantum-dot information engine. Physical Review Research. 7(3),
    L032017.
  mla: Aggarwal, Kushagra, et al. “Rapid Optimal Work Extraction from a Quantum-Dot
    Information Engine.” <i>Physical Review Research</i>, vol. 7, no. 3, L032017,
    American Physical Society, 2025, doi:<a href="https://doi.org/10.1103/q3dx-kyqj">10.1103/q3dx-kyqj</a>.
  short: K. Aggarwal, A. Rolandi, Y. Yang, J. Hickie, D. Jirovec, A. Ballabio, D.
    Chrastina, G. Isella, M.T. Mitchison, M. Perarnau-Llobet, N. Ares, Physical Review
    Research 7 (2025).
date_created: 2025-12-07T23:02:02Z
date_published: 2025-07-01T00:00:00Z
date_updated: 2025-12-09T14:07:49Z
day: '01'
ddc:
- '530'
department:
- _id: GeKa
doi: 10.1103/q3dx-kyqj
external_id:
  arxiv:
  - '2412.06916'
file:
- access_level: open_access
  checksum: 66f2b572a36a7b5fe611a7639a8b6f12
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-09T14:05:56Z
  date_updated: 2025-12-09T14:05:56Z
  file_id: '20753'
  file_name: 2025_PhysReviewResearch_Aggarwal.pdf
  file_size: 536624
  relation: main_file
  success: 1
file_date_updated: 2025-12-09T14:05:56Z
has_accepted_license: '1'
intvolume: '         7'
issue: '3'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: Physical Review Research
publication_identifier:
  eissn:
  - 2643-1564
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: https://doi.org/10.5281/zenodo.14516009
scopus_import: '1'
status: public
title: Rapid optimal work extraction from a quantum-dot information engine
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: 7
year: '2025'
...
---
OA_place: publisher
OA_type: diamond
PlanS_conform: '1'
_id: '20734'
abstract:
- lang: eng
  text: We consider the problem of parameter estimation in a high-dimensional generalized
    linear model. Spectral methods obtained via the principal eigenvector of a suitable
    data-dependent matrix provide a simple yet surprisingly effective solution. However,
    despite their wide use, a rigorous performance characterization, as well as a
    principled way to preprocess the data, are available only for unstructured (i.i.d.
    Gaussian and Haar orthogonal) designs. In contrast, real-world data matrices are
    highly structured and exhibit non-trivial correlations. To address the problem,
    we consider correlated Gaussian designs capturing the anisotropic nature of the
    features via a covariance matrix Σ. Our main result is a precise asymptotic characterization
    of the performance of spectral estimators. This allows us to identify the optimal
    preprocessing that minimizes the number of samples needed for parameter estimation.
    Surprisingly, such preprocessing is universal across a broad set of designs, which
    partly addresses a conjecture on optimal spectral estimators for rotationally
    invariant models. Our principled approach vastly improves upon previous heuristic
    methods, including for designs common in computational imaging and genetics. The
    proposed methodology, based on approximate message passing, is broadly applicable
    and opens the way to the precise characterization of spiked matrices and of the
    corresponding spectral methods in a variety of settings.
acknowledgement: "This work was done when Y. Z. and H. C. J. were at the Institute
  of Science and Technology Austria. Y. Z. thanks Hugo Latourelle-Vigeant for bringing
  [53] to the authors’ attention.\r\nY. Z. and M. M. are partially supported by the
  2019 Lopez-Loreta Prize and by the Interdisciplinary Projects Committee (IPC) at
  ISTA. H. C. J. is supported by the ERC Advanced Grant “RMTBeyond” No. 101020331."
article_processing_charge: No
article_type: original
author:
- first_name: Yihan
  full_name: Zhang, Yihan
  id: 2ce5da42-b2ea-11eb-bba5-9f264e9d002c
  last_name: Zhang
  orcid: 0000-0002-6465-6258
- first_name: Hong Chang
  full_name: Ji, Hong Chang
  last_name: Ji
- first_name: Ramji
  full_name: Venkataramanan, Ramji
  last_name: Venkataramanan
- first_name: Marco
  full_name: Mondelli, Marco
  id: 27EB676C-8706-11E9-9510-7717E6697425
  last_name: Mondelli
  orcid: 0000-0002-3242-7020
citation:
  ama: Zhang Y, Ji HC, Venkataramanan R, Mondelli M. Spectral estimators for structured
    generalized linear models via approximate message passing. <i>Mathematical Statistics
    and Learning</i>. 2025;8(3-4):193-304. doi:<a href="https://doi.org/10.4171/MSL/52">10.4171/MSL/52</a>
  apa: Zhang, Y., Ji, H. C., Venkataramanan, R., &#38; Mondelli, M. (2025). Spectral
    estimators for structured generalized linear models via approximate message passing.
    <i>Mathematical Statistics and Learning</i>. EMS Press. <a href="https://doi.org/10.4171/MSL/52">https://doi.org/10.4171/MSL/52</a>
  chicago: Zhang, Yihan, Hong Chang Ji, Ramji Venkataramanan, and Marco Mondelli.
    “Spectral Estimators for Structured Generalized Linear Models via Approximate
    Message Passing.” <i>Mathematical Statistics and Learning</i>. EMS Press, 2025.
    <a href="https://doi.org/10.4171/MSL/52">https://doi.org/10.4171/MSL/52</a>.
  ieee: Y. Zhang, H. C. Ji, R. Venkataramanan, and M. Mondelli, “Spectral estimators
    for structured generalized linear models via approximate message passing,” <i>Mathematical
    Statistics and Learning</i>, vol. 8, no. 3–4. EMS Press, pp. 193–304, 2025.
  ista: Zhang Y, Ji HC, Venkataramanan R, Mondelli M. 2025. Spectral estimators for
    structured generalized linear models via approximate message passing. Mathematical
    Statistics and Learning. 8(3–4), 193–304.
  mla: Zhang, Yihan, et al. “Spectral Estimators for Structured Generalized Linear
    Models via Approximate Message Passing.” <i>Mathematical Statistics and Learning</i>,
    vol. 8, no. 3–4, EMS Press, 2025, pp. 193–304, doi:<a href="https://doi.org/10.4171/MSL/52">10.4171/MSL/52</a>.
  short: Y. Zhang, H.C. Ji, R. Venkataramanan, M. Mondelli, Mathematical Statistics
    and Learning 8 (2025) 193–304.
corr_author: '1'
date_created: 2025-12-07T23:02:02Z
date_published: 2025-09-02T00:00:00Z
date_updated: 2025-12-09T13:53:31Z
day: '02'
ddc:
- '000'
department:
- _id: MaMo
doi: 10.4171/MSL/52
file:
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  checksum: 55a1bd9c1b6b0198c42504fb94f4ad4c
  content_type: application/pdf
  creator: dernst
  date_created: 2025-12-09T13:50:03Z
  date_updated: 2025-12-09T13:50:03Z
  file_id: '20752'
  file_name: 2025_MathStatLearning_Zhang.pdf
  file_size: 1379626
  relation: main_file
  success: 1
file_date_updated: 2025-12-09T13:50:03Z
has_accepted_license: '1'
intvolume: '         8'
issue: 3-4
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: 193-304
project:
- _id: 059876FA-7A3F-11EA-A408-12923DDC885E
  name: Prix Lopez-Loretta 2019 - Marco Mondelli
publication: Mathematical Statistics and Learning
publication_identifier:
  eissn:
  - 2520-2324
  issn:
  - 2520-2316
publication_status: published
publisher: EMS Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Spectral estimators for structured generalized linear models via approximate
  message passing
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: 8
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '20750'
article_processing_charge: No
author:
- first_name: Barnaby
  full_name: Van Straaten, Barnaby
  last_name: Van Straaten
- first_name: Federico
  full_name: Fedele, Federico
  last_name: Fedele
- first_name: Florian
  full_name: Vigneau, Florian
  last_name: Vigneau
- first_name: Joseph
  full_name: Hickie, Joseph
  last_name: Hickie
- first_name: Daniel
  full_name: Jirovec, Daniel
  id: 4C473F58-F248-11E8-B48F-1D18A9856A87
  last_name: Jirovec
  orcid: 0000-0002-7197-4801
- first_name: Daniel
  full_name: Chrastina, Daniel
  last_name: Chrastina
- first_name: Giovanni
  full_name: Isella, Giovanni
  last_name: Isella
- first_name: Natalia
  full_name: Ares, Natalia
  last_name: Ares
citation:
  ama: Van Straaten B, Fedele F, Vigneau F, et al. All rf-based tuning algorithm for
    quantum devices using machine learning. 2025. doi:<a href="https://doi.org/10.5281/ZENODO.17352653">10.5281/ZENODO.17352653</a>
  apa: Van Straaten, B., Fedele, F., Vigneau, F., Hickie, J., Jirovec, D., Chrastina,
    D., … Ares, N. (2025). All rf-based tuning algorithm for quantum devices using
    machine learning. Zenodo. <a href="https://doi.org/10.5281/ZENODO.17352653">https://doi.org/10.5281/ZENODO.17352653</a>
  chicago: Van Straaten, Barnaby, Federico Fedele, Florian Vigneau, Joseph Hickie,
    Daniel Jirovec, Daniel Chrastina, Giovanni Isella, and Natalia Ares. “All Rf-Based
    Tuning Algorithm for Quantum Devices Using Machine Learning.” Zenodo, 2025. <a
    href="https://doi.org/10.5281/ZENODO.17352653">https://doi.org/10.5281/ZENODO.17352653</a>.
  ieee: B. Van Straaten <i>et al.</i>, “All rf-based tuning algorithm for quantum
    devices using machine learning.” Zenodo, 2025.
  ista: Van Straaten B, Fedele F, Vigneau F, Hickie J, Jirovec D, Chrastina D, Isella
    G, Ares N. 2025. All rf-based tuning algorithm for quantum devices using machine
    learning, Zenodo, <a href="https://doi.org/10.5281/ZENODO.17352653">10.5281/ZENODO.17352653</a>.
  mla: Van Straaten, Barnaby, et al. <i>All Rf-Based Tuning Algorithm for Quantum
    Devices Using Machine Learning</i>. Zenodo, 2025, doi:<a href="https://doi.org/10.5281/ZENODO.17352653">10.5281/ZENODO.17352653</a>.
  short: B. Van Straaten, F. Fedele, F. Vigneau, J. Hickie, D. Jirovec, D. Chrastina,
    G. Isella, N. Ares, (2025).
date_created: 2025-12-09T13:36:29Z
date_published: 2025-10-14T00:00:00Z
date_updated: 2025-12-09T14:49:36Z
day: '14'
ddc:
- '530'
department:
- _id: GeKa
doi: 10.5281/ZENODO.17352653
has_accepted_license: '1'
main_file_link:
- open_access: '1'
  url: https://doi.org/10.5281/zenodo.17352653
month: '10'
oa: 1
oa_version: Published Version
publisher: Zenodo
related_material:
  record:
  - id: '20730'
    relation: used_in_publication
    status: public
status: public
title: All rf-based tuning algorithm for quantum devices using machine learning
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: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
OA_type: closed access
_id: '20767'
abstract:
- lang: eng
  text: Chemistry education at the graduate level and beyond faces the formidable
    challenge of a boundless and constantly expanding frontier of knowledge on many
    fronts. While modern learners have an increasingly broad range of resources available
    at their disposal (including open access text-based references, online videos,
    training problems, and other digital learning materials), there are comparatively
    fewer such materials aimed at the highest levels of study. With the goal of producing
    widely accessible graduate-level learning content, we created a community-based
    approach to online course design that is easily digestible to meet the expectations
    of modern learners. Herein, we report the development of an open access Advanced
    Organic Chemistry video-based online course and several other specialized minicourses
    using the Synthesis Workshop YouTube channel.
article_processing_charge: No
article_type: original
author:
- first_name: Matthew A.
  full_name: Horwitz, Matthew A.
  last_name: Horwitz
- first_name: Reem
  full_name: Al-Ahmad, Reem
  last_name: Al-Ahmad
- first_name: Xingfeng
  full_name: Bai, Xingfeng
  last_name: Bai
- first_name: Matteo
  full_name: Balletti, Matteo
  last_name: Balletti
- first_name: Peter
  full_name: Bellotti, Peter
  last_name: Bellotti
- first_name: Yael
  full_name: Ben-Tal, Yael
  last_name: Ben-Tal
- first_name: Mark W.
  full_name: Campbell, Mark W.
  last_name: Campbell
- first_name: Kathleen
  full_name: Cheasty, Kathleen
  last_name: Cheasty
- first_name: Steven W. M.
  full_name: Crossley, Steven W. M.
  last_name: Crossley
- first_name: Craig S.
  full_name: Day, Craig S.
  last_name: Day
- first_name: Patrick J.
  full_name: Deneny, Patrick J.
  last_name: Deneny
- first_name: Katherine C.
  full_name: Forbes, Katherine C.
  last_name: Forbes
- first_name: Emma S.
  full_name: Gogarnoiu, Emma S.
  last_name: Gogarnoiu
- first_name: Phillip S.
  full_name: Grant, Phillip S.
  last_name: Grant
- first_name: Riya
  full_name: Halder, Riya
  last_name: Halder
- first_name: Georgia R.
  full_name: Harris, Georgia R.
  last_name: Harris
- first_name: Pol
  full_name: Hernández-Lladó, Pol
  last_name: Hernández-Lladó
- first_name: Morgan
  full_name: Jouanneau, Morgan
  last_name: Jouanneau
- first_name: Vera
  full_name: Jost, Vera
  last_name: Jost
- first_name: Dennis A.
  full_name: Kutateladze, Dennis A.
  last_name: Kutateladze
- first_name: Gabriele
  full_name: Laudadio, Gabriele
  last_name: Laudadio
- first_name: Chun
  full_name: Liu, Chun
  last_name: Liu
- first_name: Aidan P.
  full_name: Looby, Aidan P.
  last_name: Looby
- first_name: Aitor
  full_name: Maestro, Aitor
  last_name: Maestro
- first_name: Terry
  full_name: McCallum, Terry
  last_name: McCallum
- first_name: Maximilian D.
  full_name: Palkowitz, Maximilian D.
  last_name: Palkowitz
- first_name: Joshua M.
  full_name: Paolillo, Joshua M.
  last_name: Paolillo
- first_name: Matthew W. D.
  full_name: Perry, Matthew W. D.
  last_name: Perry
- first_name: Julia
  full_name: Reisenbauer, Julia
  id: 51d862e9-36ee-11f0-86d3-8534c85a5496
  last_name: Reisenbauer
- first_name: Cesar
  full_name: Reyes, Cesar
  last_name: Reyes
- first_name: Hayden A.
  full_name: Sharma, Hayden A.
  last_name: Sharma
- first_name: Fu Kit
  full_name: Sheong, Fu Kit
  last_name: Sheong
- first_name: Benjamin
  full_name: Thoma, Benjamin
  last_name: Thoma
- first_name: Andrew V.
  full_name: Tran, Andrew V.
  last_name: Tran
- first_name: Duc N.
  full_name: Tran, Duc N.
  last_name: Tran
- first_name: Francisco José
  full_name: Aguilar Troyano, Francisco José
  last_name: Aguilar Troyano
- first_name: Thomas
  full_name: Verheyen, Thomas
  last_name: Verheyen
- first_name: Mark P.
  full_name: Walsh, Mark P.
  last_name: Walsh
- first_name: Alicia
  full_name: Wagner, Alicia
  last_name: Wagner
- first_name: Emily R.
  full_name: Wearing, Emily R.
  last_name: Wearing
- first_name: Georg
  full_name: Wuitschik, Georg
  last_name: Wuitschik
citation:
  ama: 'Horwitz MA, Al-Ahmad R, Bai X, et al. Reimagining advanced chemistry education:
    A community-based approach to course design for modern learners. <i>Journal of
    Chemical Education</i>. 2025;102(9):3777-3783. doi:<a href="https://doi.org/10.1021/acs.jchemed.5c00555">10.1021/acs.jchemed.5c00555</a>'
  apa: 'Horwitz, M. A., Al-Ahmad, R., Bai, X., Balletti, M., Bellotti, P., Ben-Tal,
    Y., … Wuitschik, G. (2025). Reimagining advanced chemistry education: A community-based
    approach to course design for modern learners. <i>Journal of Chemical Education</i>.
    American Chemical Society. <a href="https://doi.org/10.1021/acs.jchemed.5c00555">https://doi.org/10.1021/acs.jchemed.5c00555</a>'
  chicago: 'Horwitz, Matthew A., Reem Al-Ahmad, Xingfeng Bai, Matteo Balletti, Peter
    Bellotti, Yael Ben-Tal, Mark W. Campbell, et al. “Reimagining Advanced Chemistry
    Education: A Community-Based Approach to Course Design for Modern Learners.” <i>Journal
    of Chemical Education</i>. American Chemical Society, 2025. <a href="https://doi.org/10.1021/acs.jchemed.5c00555">https://doi.org/10.1021/acs.jchemed.5c00555</a>.'
  ieee: 'M. A. Horwitz <i>et al.</i>, “Reimagining advanced chemistry education: A
    community-based approach to course design for modern learners,” <i>Journal of
    Chemical Education</i>, vol. 102, no. 9. American Chemical Society, pp. 3777–3783,
    2025.'
  ista: 'Horwitz MA, Al-Ahmad R, Bai X, Balletti M, Bellotti P, Ben-Tal Y, Campbell
    MW, Cheasty K, Crossley SWM, Day CS, Deneny PJ, Forbes KC, Gogarnoiu ES, Grant
    PS, Halder R, Harris GR, Hernández-Lladó P, Jouanneau M, Jost V, Kutateladze DA,
    Laudadio G, Liu C, Looby AP, Maestro A, McCallum T, Palkowitz MD, Paolillo JM,
    Perry MWD, Reisenbauer J, Reyes C, Sharma HA, Sheong FK, Thoma B, Tran AV, Tran
    DN, Aguilar Troyano FJ, Verheyen T, Walsh MP, Wagner A, Wearing ER, Wuitschik
    G. 2025. Reimagining advanced chemistry education: A community-based approach
    to course design for modern learners. Journal of Chemical Education. 102(9), 3777–3783.'
  mla: 'Horwitz, Matthew A., et al. “Reimagining Advanced Chemistry Education: A Community-Based
    Approach to Course Design for Modern Learners.” <i>Journal of Chemical Education</i>,
    vol. 102, no. 9, American Chemical Society, 2025, pp. 3777–83, doi:<a href="https://doi.org/10.1021/acs.jchemed.5c00555">10.1021/acs.jchemed.5c00555</a>.'
  short: M.A. Horwitz, R. Al-Ahmad, X. Bai, M. Balletti, P. Bellotti, Y. Ben-Tal,
    M.W. Campbell, K. Cheasty, S.W.M. Crossley, C.S. Day, P.J. Deneny, K.C. Forbes,
    E.S. Gogarnoiu, P.S. Grant, R. Halder, G.R. Harris, P. Hernández-Lladó, M. Jouanneau,
    V. Jost, D.A. Kutateladze, G. Laudadio, C. Liu, A.P. Looby, A. Maestro, T. McCallum,
    M.D. Palkowitz, J.M. Paolillo, M.W.D. Perry, J. Reisenbauer, C. Reyes, H.A. Sharma,
    F.K. Sheong, B. Thoma, A.V. Tran, D.N. Tran, F.J. Aguilar Troyano, T. Verheyen,
    M.P. Walsh, A. Wagner, E.R. Wearing, G. Wuitschik, Journal of Chemical Education
    102 (2025) 3777–3783.
date_created: 2025-12-09T14:27:11Z
date_published: 2025-08-15T00:00:00Z
date_updated: 2025-12-16T12:13:49Z
day: '15'
doi: 10.1021/acs.jchemed.5c00555
extern: '1'
intvolume: '       102'
issue: '9'
language:
- iso: eng
month: '08'
oa_version: None
page: 3777-3783
publication: Journal of Chemical Education
publication_identifier:
  eissn:
  - 1938-1328
  issn:
  - 0021-9584
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Reimagining advanced chemistry education: A community-based approach to course
  design for modern learners'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 102
year: '2025'
...
