---
OA_place: repository
_id: '22892'
abstract:
- lang: eng
text: 'Countless biological processes are fueled by energy-rich molecules like ATP
and GTP that supply energy with extreme efficiency. However, designing similar
energy-delivery schemes from the bottom up, essential for the development of powered
nanostructures and other \emph{de novo} machinery, presents a significant challenge:
how can an energy-rich structure be stable in solution yet still deliver this
energy at precisely the right time? In this paper, we present a purely physical
mechanism that solves this challenge, facilitating energy transfer akin to ATP
hydrolysis, yet occurring between synthetic nanostructures without any biochemical
interactions. This targeted energy delivery is achieved by exploiting a differentiable
state-based model to balance the energy profiles that govern the structural transitions
in the two nanostructures, creating a coupled relaxation pathway with minimal
barriers that facilitates energy delivery. We verify the effectiveness and robustness
of this mechanism through Langevin Dynamics simulations, demonstrating that a
bath of the high-energy structures can systematically and repeatedly drive the
target structure out of equilibrium, enabling it to perform tasks. As the mechanism
operates only through explicit physical forces without any biochemistry or internal
state variables, our results present generic and far-reaching design principles,
setting the stage for the next generation of synthetic nanomachines.'
acknowledgement: "We thank Edouard Hannezo, Ella King, Maximilian Lechner, and Jérémie
Palacci for stimulating discussions, and Edouard Hannezo, Maximilian Hübl, and\r\nMaitane
Muñoz-Basagoiti for helpful comments on the manuscript. This research was funded
in part by the\r\nAustrian Science Fund (FWF) [10.55776/PAT8537123]."
article_processing_charge: No
arxiv: 1
author:
- first_name: Andreas
full_name: Ehrmann, Andreas
id: eaa689ed-f6e0-11ea-865d-bd98cbcf83c2
last_name: Ehrmann
orcid: 0000-0002-0997-5678
- first_name: Carl Peter
full_name: Goodrich, Carl Peter
id: EB352CD2-F68A-11E9-89C5-A432E6697425
last_name: Goodrich
orcid: 0000-0002-1307-5074
citation:
ama: Ehrmann A, Goodrich CP. Controlling energy delivery with bistable nanostructures.
arXiv. doi:10.48550/arXiv.2506.14266
apa: Ehrmann, A., & Goodrich, C. P. (n.d.). Controlling energy delivery with
bistable nanostructures. arXiv. https://doi.org/10.48550/arXiv.2506.14266
chicago: Ehrmann, Andreas, and Carl Peter Goodrich. “Controlling Energy Delivery
with Bistable Nanostructures.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2506.14266.
ieee: A. Ehrmann and C. P. Goodrich, “Controlling energy delivery with bistable
nanostructures,” arXiv. .
ista: Ehrmann A, Goodrich CP. Controlling energy delivery with bistable nanostructures.
arXiv, 10.48550/arXiv.2506.14266.
mla: Ehrmann, Andreas, and Carl Peter Goodrich. “Controlling Energy Delivery with
Bistable Nanostructures.” ArXiv, doi:10.48550/arXiv.2506.14266.
short: A. Ehrmann, C.P. Goodrich, ArXiv (n.d.).
corr_author: '1'
date_created: 2026-09-09T13:16:54Z
date_published: 2026-06-07T00:00:00Z
date_updated: 2026-09-18T11:28:29Z
day: '07'
department:
- _id: CaGo
- _id: EdHa
doi: 10.48550/arXiv.2506.14266
external_id:
arxiv:
- '2506.14266'
fulldoi: https://doi.org/10.48550/arXiv.2506.14266
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2506.14266
month: '06'
oa: 1
oa_version: Preprint
project:
- _id: 90a98bb5-16d5-11f0-9cad-9675f3f8015d
grant_number: PAT 8537123
name: Functional bio-inspired nanomachines from sticky colloids
publication: arXiv
publication_status: draft
related_material:
record:
- id: '22873'
relation: dissertation_contains
status: public
status: public
title: Controlling energy delivery with bistable nanostructures
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2026'
...
---
OA_place: publisher
OA_type: gold
_id: '22894'
abstract:
- lang: eng
text: "Large-scale deep learning models are known to memorize parts of the training\r\nset.
In machine learning theory, memorization is often framed as interpolation or\r\nlabel
fitting, and classical results show that this can be achieved when the number\r\nof
parameters p in the model is larger than the number of training samples n. In\r\nthis
work, we consider memorization from the perspective of data reconstruction,\r\ndemonstrating
that this can be achieved when p is larger than dn, where d is\r\nthe dimensionality
of the data. More specifically, we show that, in the random\r\nfeatures model,
when p ≫ dn, the subspace spanned by the training samples in\r\nfeature space
gives sufficient information to identify the individual samples in input\r\nspace.
Our analysis suggests an optimization method to reconstruct the dataset\r\nfrom
the model parameters, and we demonstrate that this method performs well on\r\nvarious
architectures (random features, two-layer fully-connected and deep residual\r\nnetworks).
Our results reveal a law of data reconstruction, according to which the\r\nentire
training dataset can be recovered as p exceeds the threshold dn.\r\n"
acknowledgement: "M.M. is funded by the European Union (ERC, INF2\r\n, project number
101161364). S.B. was supported\r\nby a Google PhD fellowship. L.I. acknowledges
the grant received from the European Union NextGenerationEU (Piano Nazionale di
Ripresa E Resilienza (PNRR)) DM 351 on Trustworthy AI. T.T. &\r\nL.I. acknowledge
the EU project ELSA - European Lighthouse on Secure and Safe AI. This study was\r\ncarried
out within the FAIR - Future Artificial Intelligence Research and received funding
from the\r\nEuropean Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESILIENZA
(PNRR)\r\n– MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.3 – D.D. 1555 11/10/2022, PE00000013).\r\nThis
manuscript reflects only the authors’ views and opinions, neither the European Union
nor the\r\nEuropean Commission can be considered responsible for them. The authors
would like to thank\r\nYizhe Zhu for helpful discussions."
article_processing_charge: No
arxiv: 1
author:
- first_name: Leonardo
full_name: Iurada, Leonardo
last_name: Iurada
- first_name: Simone
full_name: Bombari, Simone
id: ca726dda-de17-11ea-bc14-f9da834f63aa
last_name: Bombari
- first_name: Tatiana
full_name: Tommasi, Tatiana
last_name: Tommasi
- first_name: Marco
full_name: Mondelli, Marco
id: 27EB676C-8706-11E9-9510-7717E6697425
last_name: Mondelli
orcid: 0000-0002-3242-7020
citation:
ama: 'Iurada L, Bombari S, Tommasi T, Mondelli M. A law of data reconstruction for
random features (and beyond). In: 14th International Conference on Learning
Representations. Vol 2026. OpenReview; 2026:145275-145314.'
apa: 'Iurada, L., Bombari, S., Tommasi, T., & Mondelli, M. (2026). A law of
data reconstruction for random features (and beyond). In 14th International
Conference on Learning Representations (Vol. 2026, pp. 145275–145314). Rio
de Janeiro, Brazil: OpenReview.'
chicago: Iurada, Leonardo, Simone Bombari, Tatiana Tommasi, and Marco Mondelli.
“A Law of Data Reconstruction for Random Features (and Beyond).” In 14th International
Conference on Learning Representations, 2026:145275–314. OpenReview, 2026.
ieee: L. Iurada, S. Bombari, T. Tommasi, and M. Mondelli, “A law of data reconstruction
for random features (and beyond),” in 14th International Conference on Learning
Representations, Rio de Janeiro, Brazil, 2026, vol. 2026, pp. 145275–145314.
ista: 'Iurada L, Bombari S, Tommasi T, Mondelli M. 2026. A law of data reconstruction
for random features (and beyond). 14th International Conference on Learning Representations.
ICLR: International Conference on Learning Representations vol. 2026, 145275–145314.'
mla: Iurada, Leonardo, et al. “A Law of Data Reconstruction for Random Features
(and Beyond).” 14th International Conference on Learning Representations,
vol. 2026, OpenReview, 2026, pp. 145275–314.
short: L. Iurada, S. Bombari, T. Tommasi, M. Mondelli, in:, 14th International Conference
on Learning Representations, OpenReview, 2026, pp. 145275–145314.
conference:
end_date: 2026-04-27
location: Rio de Janeiro, Brazil
name: 'ICLR: International Conference on Learning Representations '
start_date: 2026-04-23
corr_author: '1'
das_tickbox: '0'
date_created: 2026-09-09T13:31:46Z
date_published: 2026-01-26T00:00:00Z
date_updated: 2026-09-21T13:07:01Z
day: '26'
ddc:
- '000'
department:
- _id: GradSch
- _id: MaMo
external_id:
arxiv:
- '2509.22214'
file:
- access_level: open_access
checksum: a3dcba6649b7496124fa0ae68bf2c4cb
content_type: application/pdf
creator: cchlebak
date_created: 2026-09-11T12:07:48Z
date_updated: 2026-09-11T12:07:48Z
file_id: '22907'
file_name: 2026_ICLR_Iurada.pdf
file_size: 7869510
relation: main_file
success: 1
file_date_updated: 2026-09-11T12:07:48Z
has_accepted_license: '1'
intvolume: ' 2026'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '01'
oa: 1
oa_version: Published Version
page: 145275-145314
project:
- _id: 911e6d1f-16d5-11f0-9cad-c5c68c6a1cdf
grant_number: '101161364'
name: 'Inference in High Dimensions: Light-speed Algorithms and Information Limits'
- _id: 92099302-16d5-11f0-9cad-f9a785f54fbd
name: 'Trustworthy Deep Learning Theory: Private Over-Parameterized Models and Robust
LLMs'
publication: 14th International Conference on Learning Representations
publication_identifier:
isbn:
- '9798331339678'
publication_status: published
publisher: OpenReview
quality_controlled: '1'
related_material:
record:
- id: '22857'
relation: dissertation_contains
status: public
status: public
title: A law of data reconstruction for random features (and beyond)
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: 8b945eb4-e2f2-11eb-945a-df72226e66a9
volume: 2026
year: '2026'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '22950'
abstract:
- lang: eng
text: 'Little red dots (LRDs) are compact, red sources discovered by JWST at high
redshift (z ≳ 4), marked by distinctive “V-shaped” spectral energy distributions
(SEDs) and often interpreted as rapidly accreting active galactic nuclei (AGNs).
Their true nature remains unclear though, and their evolutionary connection to
their lower-redshift counterparts is still poorly constrained. Thus, we present
WISEA J123635.56+621424.2 (here dubbed the Saguaro), a z = 2.0145 galaxy in GOODS-North,
as a possible analog of high-redshift LRDs and a potential missing link in their
evolutionary path toward lower-redshift systems. It features a compact LRD-like
nucleus surrounded by a face-on spiral host. Its connections to LRDs include the
following: (1) its nuclear spectrum shows a clear “V-shaped” SED, and (2) when
redshifted to z = 7, surface brightness dimming makes the host undetectable, thus
mimicking an LRD. This suggests that high-redshift LRDs may be embedded in extended
hosts. To test this, we stack rest-frame UV images of 99 photometrically selected
LRDs, revealing faint, diffuse emission. Stacking in redshift bins reveals mild
radial growth, consistent with the expected galaxy size evolution. A simple analytic
model confirms that surface brightness dimming alone can explain their compact
appearance. Lastly, we show that the Saguaro is not unique by describing similar
objects from the literature at z ≲ 3.5. Taken together, our results support a
scenario in which LRDs may not be a distinct population, but could be the visible
nuclei of galaxies undergoing a short-lived, (perhaps) AGN-dominated evolutionary
phase, with their compact, red appearance driven largely by observational biases.'
acknowledgement: "The authors thank the anonymous referee for constructive comments,
which helped improve the manuscript. The authors also thank Xiaohui Fan, Xiaojing
Lin, Camilla Pacifici, Marianna Annunziatella, Claudia Scarlata, Luis C. Ho, and
Pablo G. Pérez-González for valuable discussions.\r\n\r\nThis work is based on observations
made with the NASA/ESA/CSA JWST. The data were obtained from the Mikulski Archive
for Space Telescopes (MAST) at the Space Telescope Science Institute, which is operated
by the Association of Universities for Research in Astronomy, Inc., under NASA contract
NAS 5-03127 for JWST. These observations are associated with JWST programs GTO #1181,
GTO #1211, GO #1895, GO #3577, and GO #6434 (F. Sun et al. 2025).\r\n\r\nSome of
the data products presented herein were retrieved from the Dawn JWST Archive (DJA).
DJA is an initiative of the Cosmic Dawn Center (DAWN), which is funded by the Danish
National Research Foundation under grant DNRF140.\r\n\r\nThis research has made
use of data obtained from the Chandra Data Archive provided by the Chandra X-ray
Center (CXC).\r\n\r\nThe authors acknowledge the FRESCO team led by PI P. Oesch
for developing their observing program with a zero-exclusive-access period. Processing
for the JADES NIRCam data release was performed on the lux cluster at the University
of California, Santa Cruz, funded by NSF MRI grant AST 1828315. Also based on observations
made with the NASA/ESA Hubble Space Telescope obtained from the Space Telescope
Science Institute, which is operated by the Association of Universities for Research
in Astronomy, Inc., under NASA contract NAS 526555. The data (G. Illingworth 2015;
P. Oesch & D. Magee 2023; M. Rieke et al. 2023a; F. Sun & E. Egami 2025) presented
in this article were obtained from MAST at the Space Telescope Science Institute.\r\n\r\nThe
authors acknowledge use of the lux supercomputer at UC Santa Cruz, funded by NSF
MRI grant AST 1828315.\r\n\r\nThe work of G.H.R. and P.R. was also supported by
grant 80NSSC18K0555, from NASA Goddard Space Flight Center to the University of
Arizona.\r\n\r\nA.J.B. acknowledges funding from the “FirstGalaxies” Advanced grant
from the European Research Council (ERC) under the European Union’s Horizon 2020
research and innovation program (grant agreement No. 789056)\r\n\r\nB.E.R. acknowledges
support from the NIRCam Science Team contract to the University of Arizona, NAS5-02015,
and JWST Program 3215.\r\n\r\nThe research of C.C.W. is supported by NOIRLab, which
is managed by the Association of Universities for Research in Astronomy (AURA) under
a cooperative agreement with the National Science Foundation.\r\n\r\nS.C. acknowledges
support by the European Union’s HE ERC Starting grant No. 101040227 - WINGS.\r\n\r\nY.Z.,
Z.J., B.D.J., C.N.A.W., and P.R. gratefully acknowledge the JWST/NIRCam contract
to the University of Arizona NAS5-02015.\r\n\r\nS.A. acknowledges support from the
JWST Mid-Infrared Instrument (MIRI) Science Team Lead, grant 80NSSC18K0555, from
NASA Goddard Space Flight Center to the University of Arizona.\r\n\r\nR.M., F.D.E.
acknowledge support by the Science and Technology Facilities Council (STFC), by
the ERC through Advanced grant 695671 “QUENCH,” and by the UKRI Frontier Research
grant RISEandFALL. R.M. also acknowledges funding from a research professorship
from the Royal Society.\r\n\r\nL.B. acknowledges financial support from the Inter-University
Institute for Data Intensive Astronomy (IDIA), a partnership of the University of
Cape Town, the University of Pretoria and the University of the Western Cape, and
from the South African Department of Science and Innovation’s National Research
Foundation under the ISARP RADIOMAP+ Joint Research Scheme (DSI-NRF grant No. 150551)
and the CPRR HIPPO Project (DSI-NRF grant No. SRUG22031677). C.J.E.G. acknowledges
the financial assistance of the South African Radio Astronomy Observatory (SARAO)
(www.sarao.ac.za)."
article_number: '205'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Pierluigi
full_name: Rinaldi, Pierluigi
last_name: Rinaldi
- first_name: George H.
full_name: Rieke, George H.
last_name: Rieke
- first_name: Zihao
full_name: Wu, Zihao
last_name: Wu
- first_name: Carys J. E.
full_name: Gilbert, Carys J. E.
last_name: Gilbert
- first_name: Fabio
full_name: Pacucci, Fabio
last_name: Pacucci
- first_name: Luigi
full_name: Barchiesi, Luigi
last_name: Barchiesi
- first_name: Stacey
full_name: Alberts, Stacey
last_name: Alberts
- first_name: Stefano
full_name: Carniani, Stefano
last_name: Carniani
- first_name: Andrew J.
full_name: Bunker, Andrew J.
last_name: Bunker
- first_name: Rachana
full_name: Bhatawdekar, Rachana
last_name: Bhatawdekar
- first_name: Francesco
full_name: D’Eugenio, Francesco
last_name: D’Eugenio
- first_name: Zhiyuan
full_name: Ji, Zhiyuan
last_name: Ji
- first_name: Benjamin D.
full_name: Johnson, Benjamin D.
last_name: Johnson
- first_name: Kevin
full_name: Hainline, Kevin
last_name: Hainline
- first_name: Vasily
full_name: Kokorev, Vasily
last_name: Kokorev
- first_name: Nimisha
full_name: Kumari, Nimisha
last_name: Kumari
- first_name: Edoardo
full_name: Iani, Edoardo
id: 4053390a-6b68-11ef-9828-a3b8adef8d0a
last_name: Iani
orcid: 0000-0001-8386-3546
- first_name: Jianwei
full_name: Lyu, Jianwei
last_name: Lyu
- first_name: Roberto
full_name: Maiolino, Roberto
last_name: Maiolino
- first_name: Eleonora
full_name: Parlanti, Eleonora
last_name: Parlanti
- first_name: Brant E.
full_name: Robertson, Brant E.
last_name: Robertson
- first_name: Yang
full_name: Sun, Yang
last_name: Sun
- first_name: Cristian
full_name: Vignali, Cristian
last_name: Vignali
- first_name: Christina C.
full_name: Williams, Christina C.
last_name: Williams
- first_name: Christopher N. A.
full_name: Willmer, Christopher N. A.
last_name: Willmer
- first_name: Yongda
full_name: Zhu, Yongda
last_name: Zhu
citation:
ama: 'Rinaldi P, Rieke GH, Wu Z, et al. Beyond the dot: An LRD-like nucleus at the
heart of an IR-bright galaxy and its implications for high-redshift LRDs. The
Astrophysical Journal. 2026;1006(2). doi:10.3847/1538-4357/ae80cd'
apa: 'Rinaldi, P., Rieke, G. H., Wu, Z., Gilbert, C. J. E., Pacucci, F., Barchiesi,
L., … Zhu, Y. (2026). Beyond the dot: An LRD-like nucleus at the heart of an IR-bright
galaxy and its implications for high-redshift LRDs. The Astrophysical Journal.
IOP Publishing. https://doi.org/10.3847/1538-4357/ae80cd'
chicago: 'Rinaldi, Pierluigi, George H. Rieke, Zihao Wu, Carys J. E. Gilbert, Fabio
Pacucci, Luigi Barchiesi, Stacey Alberts, et al. “Beyond the Dot: An LRD-like
Nucleus at the Heart of an IR-Bright Galaxy and Its Implications for High-Redshift
LRDs.” The Astrophysical Journal. IOP Publishing, 2026. https://doi.org/10.3847/1538-4357/ae80cd.'
ieee: 'P. Rinaldi et al., “Beyond the dot: An LRD-like nucleus at the heart
of an IR-bright galaxy and its implications for high-redshift LRDs,” The Astrophysical
Journal, vol. 1006, no. 2. IOP Publishing, 2026.'
ista: 'Rinaldi P, Rieke GH, Wu Z, Gilbert CJE, Pacucci F, Barchiesi L, Alberts S,
Carniani S, Bunker AJ, Bhatawdekar R, D’Eugenio F, Ji Z, Johnson BD, Hainline
K, Kokorev V, Kumari N, Iani E, Lyu J, Maiolino R, Parlanti E, Robertson BE, Sun
Y, Vignali C, Williams CC, Willmer CNA, Zhu Y. 2026. Beyond the dot: An LRD-like
nucleus at the heart of an IR-bright galaxy and its implications for high-redshift
LRDs. The Astrophysical Journal. 1006(2), 205.'
mla: 'Rinaldi, Pierluigi, et al. “Beyond the Dot: An LRD-like Nucleus at the Heart
of an IR-Bright Galaxy and Its Implications for High-Redshift LRDs.” The Astrophysical
Journal, vol. 1006, no. 2, 205, IOP Publishing, 2026, doi:10.3847/1538-4357/ae80cd.'
short: P. Rinaldi, G.H. Rieke, Z. Wu, C.J.E. Gilbert, F. Pacucci, L. Barchiesi,
S. Alberts, S. Carniani, A.J. Bunker, R. Bhatawdekar, F. D’Eugenio, Z. Ji, B.D.
Johnson, K. Hainline, V. Kokorev, N. Kumari, E. Iani, J. Lyu, R. Maiolino, E.
Parlanti, B.E. Robertson, Y. Sun, C. Vignali, C.C. Williams, C.N.A. Willmer, Y.
Zhu, The Astrophysical Journal 1006 (2026).
das_tickbox: '1'
dataavailabilitystatement: "Facilities: CXO - Chandra X-ray Observatory satellite,
HST - Hubble Space Telescope satellite, JWST - James Webb Space Telescope.\r\n\r\nSoftware:
Astropy (Astropy Collaboration et al. 2022), Bagpipes (A. C. Carnall et al. 2019),
MSAEXP (G. Brammer 2023)NumPy (C. R. Harris et al. 2020), pandas (T. p. d team 2024)Photutils
(L. Bradley et al. 2016), TOPCAT (M. Taylor 2022), CIAO (A. Fruscione et al. 2006),
XSpec (K. Arnaud et al. 1999), STPSF (M. D. Perrin et al. 2014)."
date_created: 2026-09-17T11:05:32Z
date_published: 2026-07-29T00:00:00Z
date_updated: 2026-09-22T06:14:37Z
day: '29'
ddc:
- '520'
department:
- _id: JoMa
doi: 10.3847/1538-4357/ae80cd
external_id:
arxiv:
- '2507.17738'
file:
- access_level: open_access
checksum: ef77723c7b0fa7f82085eba8caec0cf3
content_type: application/pdf
creator: dernst
date_created: 2026-09-22T06:13:50Z
date_updated: 2026-09-22T06:13:50Z
file_id: '22979'
file_name: 2026_AstrophysicalJour_Rinaldi.pdf
file_size: 6154775
relation: main_file
success: 1
file_date_updated: 2026-09-22T06:13:50Z
fulldoi: https://doi.org/10.3847/1538-4357/ae80cd
has_accepted_license: '1'
intvolume: ' 1006'
issue: '2'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: The Astrophysical Journal
publication_identifier:
eissn:
- 1538-4357
issn:
- 0004-637X
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: yes
title: 'Beyond the dot: An LRD-like nucleus at the heart of an IR-bright galaxy and
its implications for high-redshift LRDs'
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: 1006
year: '2026'
...
---
OA_place: publisher
OA_type: gold
_id: '22921'
abstract:
- lang: eng
text: 'Runtime monitoring of quantitative signals faces a fundamental trade-off
between volatility and over-aggregation: instantaneous observations are noisy,
while long-run averages obscure local structure. Localisation measures such as
discounted averages offer a principled middle ground, yet remain poorly understood
in runtime verification. This paper studies discounted sums from a monitoring
perspective, in both deterministic and stochastic settings. We formalize the discounted
monitoring problem and show that exact, sound monitoring of discounted sums cannot
be achieved with finite memory. To overcome this impossibility, we introduce ε-approximately
sound monitoring, deriving explicit bounds on memory and observation requirements.
We then extend the framework to stochastic processes via expected discounted sums,
defining pointwise and uniform (ε,δ)-soundness notions, establishing statistical
optimality, and proving impossibility beyond a precision threshold. We also formalize
the resource complexity of deterministic discounted monitoring via affine register
machines and prove a tight worst-case lower bound. Finally, we present a specification
language for arithmetic expressions over multiple discounted sums with synchronous
and asynchronous semantics, and evaluate our approach on practical scenarios including
algorithmic fairness.'
acknowledgement: "This work has been supported by the European Research Council under
Grant No.: ERC2020-AdG 101020093 and ERC-2021-AdG 101055412.\r\nFilip Cano: ERC-2020-AdG
101020093\r\nThomas A. Henzinger: ERC-2020-AdG 101020093\r\nKonstantin Kueffner:
ERC-2020-AdG 101020093\r\nN. Ege Saraç: ERC-2021-AdG 101055412"
alternative_title:
- LIPIcs
article_number: 22:1-22:19
article_processing_charge: Yes
arxiv: 1
author:
- first_name: Filip
full_name: Cano Cordoba, Filip
id: 708cad98-e86a-11ef-8098-bdae2d7c6af1
last_name: Cano Cordoba
orcid: 0000-0002-0783-904X
- 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: Konstantin
full_name: Kueffner, Konstantin
id: 8121a2d0-dc85-11ea-9058-af578f3b4515
last_name: Kueffner
orcid: 0000-0001-8974-2542
- first_name: Naci E
full_name: Sarac, Naci E
id: 8C6B42F8-C8E6-11E9-A03A-F2DCE5697425
last_name: Sarac
citation:
ama: 'Cano Cordoba F, Henzinger TA, Kueffner K, Sarac NE. Monitoring discounted
sum properties. In: 37th International Conference on Concurrency Theory.
Vol 391. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2026. doi:10.4230/LIPIcs.CONCUR.2026.22'
apa: 'Cano Cordoba, F., Henzinger, T. A., Kueffner, K., & Sarac, N. E. (2026).
Monitoring discounted sum properties. In 37th International Conference on Concurrency
Theory (Vol. 391). Liverpool, United Kingdom: Schloss Dagstuhl - Leibniz-Zentrum
für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2026.22'
chicago: Cano Cordoba, Filip, Thomas A Henzinger, Konstantin Kueffner, and Naci
E Sarac. “Monitoring Discounted Sum Properties.” In 37th International Conference
on Concurrency Theory, Vol. 391. Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2026. https://doi.org/10.4230/LIPIcs.CONCUR.2026.22.
ieee: F. Cano Cordoba, T. A. Henzinger, K. Kueffner, and N. E. Sarac, “Monitoring
discounted sum properties,” in 37th International Conference on Concurrency
Theory, Liverpool, United Kingdom, 2026, vol. 391.
ista: 'Cano Cordoba F, Henzinger TA, Kueffner K, Sarac NE. 2026. Monitoring discounted
sum properties. 37th International Conference on Concurrency Theory. CONCUR: Conference
on Concurrency Theory, LIPIcs, vol. 391, 22:1-22:19.'
mla: Cano Cordoba, Filip, et al. “Monitoring Discounted Sum Properties.” 37th
International Conference on Concurrency Theory, vol. 391, 22:1-22:19, Schloss
Dagstuhl - Leibniz-Zentrum für Informatik, 2026, doi:10.4230/LIPIcs.CONCUR.2026.22.
short: F. Cano Cordoba, T.A. Henzinger, K. Kueffner, N.E. Sarac, in:, 37th International
Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2026.
conference:
end_date: 2026-09-04
location: Liverpool, United Kingdom
name: 'CONCUR: Conference on Concurrency Theory'
start_date: 2026-09-01
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: "Software (Source Code): https://github.com/filipcano/monitoringdiscounted-sum-properties
[10]\r\narchived at swh:1:dir:cb99396415f279c985cd05206b44320227f64245\r\n"
date_created: 2026-09-13T22:01:54Z
date_published: 2026-08-24T00:00:00Z
date_updated: 2026-09-22T06:02:06Z
day: '24'
ddc:
- '000'
department:
- _id: ToHe
- _id: GradSch
doi: 10.4230/LIPIcs.CONCUR.2026.22
ec_funded: 1
external_id:
arxiv:
- '2606.25979'
file:
- access_level: open_access
checksum: f7b2e22428344fd7972c54f099df6aba
content_type: application/pdf
creator: dernst
date_created: 2026-09-22T05:59:03Z
date_updated: 2026-09-22T05:59:03Z
file_id: '22978'
file_name: 2026_LIPIcsCONCUR_Cano.pdf
file_size: 997156
relation: main_file
success: 1
file_date_updated: 2026-09-22T05:59:03Z
fulldoi: https://doi.org/10.4230/LIPIcs.CONCUR.2026.22
has_accepted_license: '1'
intvolume: ' 391'
keyword:
- Runtime Verification
- Probabilistic Systems
- Quantitative Verification
- Approximate Monitoring
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: 37th International Conference on Concurrency Theory
publication_identifier:
isbn:
- '9783959774475'
issn:
- 1868-8969
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Monitoring discounted sum properties
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
volume: 391
year: '2026'
...
---
OA_place: publisher
OA_type: gold
_id: '22922'
abstract:
- lang: eng
text: In this note, we recall the history and our motivation behind the development
of Strategy Logic and we discuss some of the work that ensued from its introduction.
acknowledgement: " Krishnendu Chatterjee: Supported in part by the Austrian Science
Fund (FWF) COE\r\ngrant 10.55776/COE12 and the ERC CoG 863818 (ForM-SMArt).\r\nThomas
A. Henzinger: Supported in part by the ERC AdG 101020093 (VAMOS) and the FWF\r\nSFB
grant F8502 (SPyCoDe).\r\nNir Piterman: Supported in part by the Swedish research
council (VR) project no. 2025-05419 and\r\nthe Wallenberg AI, Autonomous Systems
and Software Program (WASP) funded by the Knut and\r\nAlice Wallenberg Foundation.\r\nAcknowledgements
We thank the jury that our paper introducing Strategy Logic at the Conference\r\non
Concurrency Theory (CONCUR) 2007 [10] was chosen for a CONCUR Test-of-Time Award
at\r\nCONCUR 2026."
alternative_title:
- LIPIcs
article_number: 6:1-6:7
article_processing_charge: Yes
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- 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: Nir
full_name: Piterman, Nir
last_name: Piterman
citation:
ama: 'Chatterjee K, Henzinger TA, Piterman N. A look back at strategy logic. In:
37th International Conference on Concurrency Theory. Vol 391. Schloss Dagstuhl
- Leibniz-Zentrum für Informatik; 2026. doi:10.4230/LIPIcs.CONCUR.2026.6'
apa: 'Chatterjee, K., Henzinger, T. A., & Piterman, N. (2026). A look back at
strategy logic. In 37th International Conference on Concurrency Theory
(Vol. 391). Liverpool, United Kingdom: Schloss Dagstuhl - Leibniz-Zentrum für
Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2026.6'
chicago: Chatterjee, Krishnendu, Thomas A Henzinger, and Nir Piterman. “A Look Back
at Strategy Logic.” In 37th International Conference on Concurrency Theory,
Vol. 391. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2026. https://doi.org/10.4230/LIPIcs.CONCUR.2026.6.
ieee: K. Chatterjee, T. A. Henzinger, and N. Piterman, “A look back at strategy
logic,” in 37th International Conference on Concurrency Theory, Liverpool,
United Kingdom, 2026, vol. 391.
ista: 'Chatterjee K, Henzinger TA, Piterman N. 2026. A look back at strategy logic.
37th International Conference on Concurrency Theory. CONCUR: Conference on Concurrency
Theory, LIPIcs, vol. 391, 6:1-6:7.'
mla: Chatterjee, Krishnendu, et al. “A Look Back at Strategy Logic.” 37th International
Conference on Concurrency Theory, vol. 391, 6:1-6:7, Schloss Dagstuhl - Leibniz-Zentrum
für Informatik, 2026, doi:10.4230/LIPIcs.CONCUR.2026.6.
short: K. Chatterjee, T.A. Henzinger, N. Piterman, in:, 37th International Conference
on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2026.
conference:
end_date: 2026-09-04
location: Liverpool, United Kingdom
name: 'CONCUR: Conference on Concurrency Theory'
start_date: 2026-09-01
corr_author: '1'
das_tickbox: '0'
date_created: 2026-09-13T22:01:54Z
date_published: 2026-08-24T00:00:00Z
date_updated: 2026-09-22T05:54:30Z
day: '24'
ddc:
- '000'
department:
- _id: KrCh
- _id: ToHe
doi: 10.4230/LIPIcs.CONCUR.2026.6
ec_funded: 1
file:
- access_level: open_access
checksum: f3995df175701f56a702bdb012e4f710
content_type: application/pdf
creator: dernst
date_created: 2026-09-22T05:53:16Z
date_updated: 2026-09-22T05:53:16Z
file_id: '22977'
file_name: 2026_LIPIcsCONCUR_Chatterjee.pdf
file_size: 517651
relation: main_file
success: 1
file_date_updated: 2026-09-22T05:53:16Z
fulldoi: https://doi.org/10.4230/LIPIcs.CONCUR.2026.6
has_accepted_license: '1'
intvolume: ' 391'
keyword:
- Strategy Logic
- Games
- Automata
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 4029cfc7-b034-11f1-9e55-88ab2ff3b6ee
grant_number: COE12
name: Bilateral Artificial Intelligence (Chatterjee)
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
- _id: 34a1b658-11ca-11ed-8bc3-c75229f0241e
grant_number: F8502
name: Interface Theory for Security and Privacy
publication: 37th International Conference on Concurrency Theory
publication_identifier:
isbn:
- '9783959774475'
issn:
- 1868-8969
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: A look back at strategy logic
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
volume: 391
year: '2026'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '22951'
abstract:
- lang: eng
text: Anesthesia recovery is critical for resuming normal physiological and neuronal
functions; however, the mechanisms involved remain elusive. Here, we identify
a female-selective corticosterone-mediated microglia-neuron interaction during
ketamine anesthesia recovery, absent in males. This microglia-neuron interaction
induces plastic and functional neuronal changes, as evidenced by increased mEPSC
frequency, which was occluded upon microglia depletion. We showed that this process
is driven through up-regulation of the stress-responsive co-chaperone Fkbp5 mRNA
and its protein, Fkbp51, in female microglia. Fkbp5/Fkbp51 is a key intermediary
in a corticosteroid-induced stress response, and its involvement points toward
a critical interface between endocrine signaling and microglia. To counteract
the observed ketamine anesthesia-mediated increase in blood corticosterone during
recovery, we removed the primary source of corticosterone by adrenalectomy. Close
microglia-neuron interaction was reduced and increased again following corticosterone
injection. Our findings identify a sex-specific microglia-mediated mechanism of
neuronal plasticity during anesthesia recovery, driven by corticosterone, thereby
enhancing our understanding of sex differences in brain function.
acknowledged_ssus:
- _id: Bio
- _id: M-Shop
- _id: PreCl
- _id: LifeSc
acknowledgement: "We thank the scientific service units at ISTA, especially the imaging
optic facility (IOF), the machine shop (Miba), specifically T. Asenov, the preclinical
facility (PCF), specifically M. Schunn and S. Haslinger, C. Jansen for bioinformatic
support, and the laboratory support facility (LSF). We also thank M. Benevento for
supporting the design and partial performance of electrophysiology and fluorescence
in situ hybridization experiments and for extensive discussions about the manuscript
draft, R. Schulz and G. Colombo for advice on morphological reconstruction, M. Schmidt
for valuable discussions about Fkbp5, and all Siegert team members for constant
feedback on the project and manuscript. Grammarly was used to assist with grammatical
revisions. We specifically acknowledge the following experimental contributions:
R.J.A.C. (Multiome quality control), P.K. (electrophysiology), B.T., C.T.J.V., K.J.
(multiome), J.Y. (KXA estimates), M.A. and T.N. (morphOMICs).\r\nA.V., M.A., T.N.,
R.J.A.C., J.Y., P.K., and S.S. were supported by the Institute of Science and Technology
Austria. C.T.J.V., K.J., and B.T. were supported by the Allen Institute."
article_number: eadz6517
article_processing_charge: Yes
article_type: original
author:
- first_name: Alessandro
full_name: Venturino, Alessandro
id: 41CB84B2-F248-11E8-B48F-1D18A9856A87
last_name: Venturino
orcid: 0000-0003-2356-9403
- first_name: Amin
full_name: Alam, Amin
id: 65a3f615-b651-11f1-9c4b-da4396a4174a
last_name: Alam
- first_name: Thomas
full_name: Negrello, Thomas
id: 37d68bf2-b651-11f1-b680-ec86ff9a70f3
last_name: Negrello
- first_name: Kelly
full_name: Jin, Kelly
last_name: Jin
- first_name: Cindy T. J.
full_name: van Velthoven, Cindy T. J.
last_name: van Velthoven
- first_name: Ryan J
full_name: Cubero, Ryan J
id: 850B2E12-9CD4-11E9-837F-E719E6697425
last_name: Cubero
orcid: 0000-0003-0002-1867
- first_name: Jake
full_name: Yeung, Jake
id: 123012b2-db30-11eb-b4d8-a35840c0551b
last_name: Yeung
orcid: 0000-0003-1732-1559
- first_name: Peter
full_name: Koppensteiner, Peter
id: 3B8B25A8-F248-11E8-B48F-1D18A9856A87
last_name: Koppensteiner
orcid: 0000-0002-3509-1948
- first_name: Bosiljka
full_name: Tasic, Bosiljka
last_name: Tasic
- first_name: Sandra
full_name: Siegert, Sandra
id: 36ACD32E-F248-11E8-B48F-1D18A9856A87
last_name: Siegert
orcid: 0000-0001-8635-0877
citation:
ama: Venturino A, Alam A, Negrello T, et al. Corticosterone-linked microglial activity
underpins sexually dimorphic neuroplasticity after ketamine anesthesia. Science
Advances. 2026;12(31). doi:10.1126/sciadv.adz6517
apa: Venturino, A., Alam, A., Negrello, T., Jin, K., van Velthoven, C. T. J., Cubero,
R. J., … Siegert, S. (2026). Corticosterone-linked microglial activity underpins
sexually dimorphic neuroplasticity after ketamine anesthesia. Science Advances.
AAAS. https://doi.org/10.1126/sciadv.adz6517
chicago: Venturino, Alessandro, Amin Alam, Thomas Negrello, Kelly Jin, Cindy T.
J. van Velthoven, Ryan J Cubero, Jake Yeung, Peter Koppensteiner, Bosiljka Tasic,
and Sandra Siegert. “Corticosterone-Linked Microglial Activity Underpins Sexually
Dimorphic Neuroplasticity after Ketamine Anesthesia.” Science Advances.
AAAS, 2026. https://doi.org/10.1126/sciadv.adz6517.
ieee: A. Venturino et al., “Corticosterone-linked microglial activity underpins
sexually dimorphic neuroplasticity after ketamine anesthesia,” Science Advances,
vol. 12, no. 31. AAAS, 2026.
ista: Venturino A, Alam A, Negrello T, Jin K, van Velthoven CTJ, Cubero RJ, Yeung
J, Koppensteiner P, Tasic B, Siegert S. 2026. Corticosterone-linked microglial
activity underpins sexually dimorphic neuroplasticity after ketamine anesthesia.
Science Advances. 12(31), eadz6517.
mla: Venturino, Alessandro, et al. “Corticosterone-Linked Microglial Activity Underpins
Sexually Dimorphic Neuroplasticity after Ketamine Anesthesia.” Science Advances,
vol. 12, no. 31, eadz6517, AAAS, 2026, doi:10.1126/sciadv.adz6517.
short: A. Venturino, A. Alam, T. Negrello, K. Jin, C.T.J. van Velthoven, R.J. Cubero,
J. Yeung, P. Koppensteiner, B. Tasic, S. Siegert, Science Advances 12 (2026).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: 'All data and code needed to evaluate and reproduce the
results in the paper are present in the paper and/or the Supplementary Materials.
This study did not generate new materials. Transcriptional data can be accessed
at the NCBI GEO accession GSE298669. The code for the morphological analysis is
available under DOI: https://doi.org/10.5281/zenodo.19057068. The codes for the
single-nucleus analysis are accessible under DOI: 10.5281/zenodo.19019013 and DOI:
10.5281/zenodo.19071467.'
date_created: 2026-09-17T11:05:39Z
date_published: 2026-07-01T00:00:00Z
date_updated: 2026-09-22T06:56:26Z
day: '01'
ddc:
- '570'
department:
- _id: SaSi
- _id: ScienComp
- _id: PreCl
doi: 10.1126/sciadv.adz6517
external_id:
pmid:
- '42536755 '
file:
- access_level: open_access
checksum: 715a1f35a0805be85ef90556205a2cbc
content_type: application/pdf
creator: dernst
date_created: 2026-09-22T06:50:16Z
date_updated: 2026-09-22T06:50:16Z
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file_name: 2026_ScienceAdv_Venturino.pdf
file_size: 4556377
relation: main_file
success: 1
file_date_updated: 2026-09-22T06:50:16Z
fulldoi: https://doi.org/10.1126/sciadv.adz6517
has_accepted_license: '1'
intvolume: ' 12'
issue: '31'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
publication: Science Advances
publication_identifier:
eissn:
- 2375-2548
publication_status: published
publisher: AAAS
quality_controlled: '1'
researchdata_availability: yes
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Corticosterone-linked microglial activity underpins sexually dimorphic neuroplasticity
after ketamine anesthesia
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 12
year: '2026'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '22952'
abstract:
- lang: eng
text: Mechanosensitive ion transport plays a central role in enabling living systems
to perceive and adapt to their environment through the deformation of soft, embedded
ion channels. In this work, we demonstrate that ion transport within a two-dimensional
graphite nanoslit can be rationally engineered to achieve a bipolar, pressure-sensitive
response without any structural deformation. The mechanosensitivity arises from
the selective charging of one channel inlet, which acts as a reversible source
of mobile charge carriers. These excess ions can then be advected in or out of
the channel by the pressure-driven water flow, thereby modulating the ionic conductance.
This mechanism is captured through a comprehensive electrohydrodynamic model that
analytically accounts for coupled diffusion, convection, surface transport, diffusio-osmosis,
and interfacial slippage, both inside and outside the nanoslit. The theoretical
framework quantitatively reproduces the experimental data, showing that a simple
surface charge pattern can give rise to complex, pressure-dependent conductance.
These findings reveal how rich nonlinear couplings at the nanoscale can be harnessed
to design adaptive, bioinspired nanofluidic systems, exemplified here by ionic
pressure sensors.
acknowledgement: 'We acknowledge support from eRc project n-AQUA, grant agreement
101071937. B.c. acknowledges support from the nOMiS Foundation. M.L. acknowledges
support from theAlexander von humboldt foundation. Q.Y. acknowledges support from
the Royal SocietyUniversity Research Fellowship URF\R1\221096 and UK Research and
innovation Grant (eP/X017575/1). '
article_number: eaed4451
article_processing_charge: Yes
article_type: original
author:
- first_name: Mathieu
full_name: Lizée, Mathieu
last_name: Lizée
- first_name: Zhijia
full_name: Zhang, Zhijia
last_name: Zhang
- first_name: Baptiste
full_name: Coquinot, Baptiste
id: f8417bd4-f599-11ee-a482-b927e3ed1e8e
last_name: Coquinot
orcid: 0000-0001-5524-596X
- first_name: Qian
full_name: Yang, Qian
last_name: Yang
- first_name: Lydéric
full_name: Bocquet, Lydéric
last_name: Bocquet
citation:
ama: Lizée M, Zhang Z, Coquinot B, Yang Q, Bocquet L. Architecting mechanosensitive
nanofluidic transport in graphite nanoslits. Science Advances. 2026;12(31).
doi:10.1126/sciadv.aed4451
apa: Lizée, M., Zhang, Z., Coquinot, B., Yang, Q., & Bocquet, L. (2026). Architecting
mechanosensitive nanofluidic transport in graphite nanoslits. Science Advances.
AAAS. https://doi.org/10.1126/sciadv.aed4451
chicago: Lizée, Mathieu, Zhijia Zhang, Baptiste Coquinot, Qian Yang, and Lydéric
Bocquet. “Architecting Mechanosensitive Nanofluidic Transport in Graphite Nanoslits.”
Science Advances. AAAS, 2026. https://doi.org/10.1126/sciadv.aed4451.
ieee: M. Lizée, Z. Zhang, B. Coquinot, Q. Yang, and L. Bocquet, “Architecting mechanosensitive
nanofluidic transport in graphite nanoslits,” Science Advances, vol. 12,
no. 31. AAAS, 2026.
ista: Lizée M, Zhang Z, Coquinot B, Yang Q, Bocquet L. 2026. Architecting mechanosensitive
nanofluidic transport in graphite nanoslits. Science Advances. 12(31), eaed4451.
mla: Lizée, Mathieu, et al. “Architecting Mechanosensitive Nanofluidic Transport
in Graphite Nanoslits.” Science Advances, vol. 12, no. 31, eaed4451, AAAS,
2026, doi:10.1126/sciadv.aed4451.
short: M. Lizée, Z. Zhang, B. Coquinot, Q. Yang, L. Bocquet, Science Advances 12
(2026).
das_tickbox: '1'
dataavailabilitystatement: All data needed to evaluate the conclusions in the paper
are present in the paper and/or the Supplementary Materials. no new materials have
been created for this work
date_created: 2026-09-17T11:05:47Z
date_published: 2026-07-01T00:00:00Z
date_updated: 2026-09-24T12:00:31Z
day: '01'
ddc:
- '530'
department:
- _id: MiLe
doi: 10.1126/sciadv.aed4451
external_id:
pmid:
- '42525771'
file:
- access_level: open_access
checksum: ae3d6231ea5cea3a0014a6da2e8c8c30
content_type: application/pdf
creator: dernst
date_created: 2026-09-24T10:46:31Z
date_updated: 2026-09-24T10:46:31Z
file_id: '22989'
file_name: 2026_ScienceAdv_Lizee.pdf
file_size: 1264180
relation: main_file
success: 1
file_date_updated: 2026-09-24T10:46:31Z
fulldoi: https://doi.org/10.1126/sciadv.aed4451
has_accepted_license: '1'
intvolume: ' 12'
issue: '31'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
publication: Science Advances
publication_identifier:
eissn:
- 2375-2548
publication_status: published
publisher: AAAS
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Architecting mechanosensitive nanofluidic transport in graphite nanoslits
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 12
year: '2026'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '22954'
abstract:
- lang: eng
text: The aim of the present paper is to propose and study a dissipative variant
of symplectic billiards within planar strictly convex domains. The associated
billiard map is dissipative, thus it admits a compact invariant set, the so-called
Birkhoff attractor. Its complexity depends on the rate of dissipation as well
as on the geometry of the billiard table. We prove that (a) for strong dissipation,
the Birkhoff attractor is a normally contracted graph over the zero section; (b)
for mild dissipation, the Birkhoff attractor within a centrally symmetric domain
is an indecomposable continuum whose restricted dynamics has positive topological
entropy. We compare these results with those for dissipative Birkhoff billiards,
studied in [15].
acknowledgement: Open access funding provided by Università degli Studi di Padova
within the CRUI-CARE Agreement. A.F. is partially supported by the ANR project CoSyDy
(ANR-CE40-0014), the ANR project GALS (ANR-23-CE40-0001) and PEPS project “Jeuns
chercheurs et jeunes chercheuses” 2025. L.B. and O.B. have been partially supported
by the PRIN project 2022FPZEES “Stability in Hamiltonian Dynamics and Beyond”.
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Luca
full_name: Baracco, Luca
last_name: Baracco
- first_name: Olga
full_name: Bernardi, Olga
last_name: Bernardi
- first_name: Anna
full_name: Florio, Anna
last_name: Florio
- first_name: Alessandra
full_name: Nardi, Alessandra
id: 3e9c89df-ff0c-11f0-9fd7-c11e36d36769
last_name: Nardi
citation:
ama: Baracco L, Bernardi O, Florio A, Nardi A. Birkhoff attractors for dissipative
symplectic billiards. Journal of Dynamics and Differential Equations. 2026.
doi:10.1007/s10884-026-10528-9
apa: Baracco, L., Bernardi, O., Florio, A., & Nardi, A. (2026). Birkhoff attractors
for dissipative symplectic billiards. Journal of Dynamics and Differential
Equations. Springer. https://doi.org/10.1007/s10884-026-10528-9
chicago: Baracco, Luca, Olga Bernardi, Anna Florio, and Alessandra Nardi. “Birkhoff
Attractors for Dissipative Symplectic Billiards.” Journal of Dynamics and Differential
Equations. Springer, 2026. https://doi.org/10.1007/s10884-026-10528-9.
ieee: L. Baracco, O. Bernardi, A. Florio, and A. Nardi, “Birkhoff attractors for
dissipative symplectic billiards,” Journal of Dynamics and Differential Equations.
Springer, 2026.
ista: Baracco L, Bernardi O, Florio A, Nardi A. 2026. Birkhoff attractors for dissipative
symplectic billiards. Journal of Dynamics and Differential Equations.
mla: Baracco, Luca, et al. “Birkhoff Attractors for Dissipative Symplectic Billiards.”
Journal of Dynamics and Differential Equations, Springer, 2026, doi:10.1007/s10884-026-10528-9.
short: L. Baracco, O. Bernardi, A. Florio, A. Nardi, Journal of Dynamics and Differential
Equations (2026).
das_tickbox: '0'
date_created: 2026-09-17T11:05:59Z
date_published: 2026-07-27T00:00:00Z
date_updated: 2026-09-24T12:26:26Z
day: '27'
ddc:
- '500'
department:
- _id: VaKa
doi: 10.1007/s10884-026-10528-9
external_id:
arxiv:
- '2509.13086'
fulldoi: https://doi.org/10.1007/s10884-026-10528-9
has_accepted_license: '1'
keyword:
- Dissipative symplectic billiard
- Birkhoff attractor
- Conformally symplectic twist map
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1007/s10884-026-10528-9
month: '07'
oa: 1
oa_version: Published Version
publication: Journal of Dynamics and Differential Equations
publication_identifier:
eissn:
- 1572-9222
issn:
- 1040-7294
publication_status: epub_ahead
publisher: Springer
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Birkhoff attractors for dissipative symplectic billiards
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: '2026'
...
---
OA_place: repository
OA_type: green
_id: '22953'
abstract:
- lang: eng
text: We prove that any finitely smooth, axially symmetric, strictly convex domain
with everywhere positive curvature and sufficiently close to an ellipse is area
spectrally rigid. This means that any area-isospectral family of domains in this
class is necessarily equi-affine. We use techniques, adapted to symplectic billiards,
inspired by the paper of J. De Simoi, V. Kaloshin and Q. Wei [5].
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Luca
full_name: Baracco, Luca
last_name: Baracco
- first_name: Olga
full_name: Bernardi, Olga
last_name: Bernardi
- first_name: Alessandra
full_name: Nardi, Alessandra
id: 3e9c89df-ff0c-11f0-9fd7-c11e36d36769
last_name: Nardi
citation:
ama: Baracco L, Bernardi O, Nardi A. Area spectral rigidity for axially symmetric
symplectic billiard tables. Journal of Modern Dynamics. 2026;22:469-488.
doi:10.3934/jmd.2026012
apa: Baracco, L., Bernardi, O., & Nardi, A. (2026). Area spectral rigidity for
axially symmetric symplectic billiard tables. Journal of Modern Dynamics.
American Institute of Mathematical Sciences. https://doi.org/10.3934/jmd.2026012
chicago: Baracco, Luca, Olga Bernardi, and Alessandra Nardi. “Area Spectral Rigidity
for Axially Symmetric Symplectic Billiard Tables.” Journal of Modern Dynamics.
American Institute of Mathematical Sciences, 2026. https://doi.org/10.3934/jmd.2026012.
ieee: L. Baracco, O. Bernardi, and A. Nardi, “Area spectral rigidity for axially
symmetric symplectic billiard tables,” Journal of Modern Dynamics, vol.
22. American Institute of Mathematical Sciences, pp. 469–488, 2026.
ista: Baracco L, Bernardi O, Nardi A. 2026. Area spectral rigidity for axially symmetric
symplectic billiard tables. Journal of Modern Dynamics. 22, 469–488.
mla: Baracco, Luca, et al. “Area Spectral Rigidity for Axially Symmetric Symplectic
Billiard Tables.” Journal of Modern Dynamics, vol. 22, American Institute
of Mathematical Sciences, 2026, pp. 469–88, doi:10.3934/jmd.2026012.
short: L. Baracco, O. Bernardi, A. Nardi, Journal of Modern Dynamics 22 (2026) 469–488.
corr_author: '1'
das_tickbox: '0'
date_created: 2026-09-17T11:05:53Z
date_published: 2026-07-24T00:00:00Z
date_updated: 2026-09-24T12:12:44Z
day: '24'
department:
- _id: VaKa
doi: 10.3934/jmd.2026012
external_id:
arxiv:
- '2410.12644'
fulldoi: https://doi.org/10.3934/jmd.2026012
intvolume: ' 22'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2410.12644
mathsc:
- 37D50
- 53C24
- 58J53
month: '07'
oa: 1
oa_version: Preprint
page: 469-488
publication: Journal of Modern Dynamics
publication_identifier:
eissn:
- 1930-532X
issn:
- 1930-5311
publication_status: published
publisher: American Institute of Mathematical Sciences
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Area spectral rigidity for axially symmetric symplectic billiard tables
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 22
year: '2026'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '22957'
abstract:
- lang: eng
text: Linguistic inequality remains a silent barrier in contemporary science, particularly
in rapidly evolving and interdisciplinary fields such as bioinformatics. This
article examines how the Spanish-speaking community has responded to this gap
through the creation of the Simposio de Estudiantes Hispanohablantes de Bioinformática
y Biología Computacional (SEH2Bioinfo), a collective initiative that transforms
language into a tool for inclusion and collaboration. Drawing on a historical
review of the use of Spanish in scientific communication and an analysis of the
two editions of SEH2Bioinfo (2022 and 2025), complemented by surveys of more than
1500 participants, we explore the effects of language on confidence, participation,
and academic visibility. The findings show that Spanish can serve as a space for
training and mentorship without compromising rigor, while simultaneously strengthening
international networks and promoting open science. The growth of SEH2Bioinfo,
its collaborative approach, and its intercontinental reach establish the symposium
as a model for linguistic equity in scientific practice. Its experience demonstrates
that expanding linguistic diversity in bioinformatics is not only possible but
essential to building a global scientific community that is fairer, more connected,
and representative.
acknowledgement: "We acknowledge the sponsors who made the SEH2Bioinfo possible, the
organizers from the various Spanish-speaking RSGs, and\r\nthe collaborators who
contributed to dissemination, logistics,\r\nand other essential tasks for its execution.
G.J.O.-O. thanks the\r\nFONDECYT Postdoctoral Project No. 3250793 for financial
support. G.J.O.-O. also expresses gratitude to Valentina Luza: “May\r\nher passion
for science communication keep inspiring new generations, myself included, to infinity
and beyond!” R.G.P.\r\nthanks the Argentinian public university education system
as an\r\nelement of social ascendance and democratization of professional opportunities."
article_number: vbag182
article_processing_charge: Yes
article_type: original
author:
- first_name: Carla L
full_name: Padilla Franzotti, Carla L
last_name: Padilla Franzotti
- first_name: Gabriel J
full_name: Olguín-Orellana, Gabriel J
last_name: Olguín-Orellana
- first_name: Nicolas
full_name: Palopoli, Nicolas
last_name: Palopoli
- first_name: Sebastián
full_name: Urquiza-Zurich, Sebastián
last_name: Urquiza-Zurich
- first_name: Adrian
full_name: Garcia-Moreno, Adrian
last_name: Garcia-Moreno
- first_name: Sara
full_name: Monzón, Sara
last_name: Monzón
- first_name: Mónica
full_name: Cabrera-Pasadas, Mónica
last_name: Cabrera-Pasadas
- first_name: Irene
full_name: Soler Sáez, Irene
last_name: Soler Sáez
- first_name: Carla
full_name: Perpiñá-Clérigues, Carla
last_name: Perpiñá-Clérigues
- first_name: Rafael J
full_name: Puche Quiñonez, Rafael J
last_name: Puche Quiñonez
- first_name: Jennifer
full_name: Vélez Segura, Jennifer
last_name: Vélez Segura
- first_name: Jose Abel
full_name: Lovaco-Flores, Jose Abel
last_name: Lovaco-Flores
- first_name: Cleidy M
full_name: Osorio Mogollón, Cleidy M
last_name: Osorio Mogollón
- first_name: Eva M
full_name: Esquinas-Román, Eva M
last_name: Esquinas-Román
- first_name: Maria C
full_name: Miserendino, Maria C
id: 273e0cbd-72f0-11ef-b75a-f9f932e292fa
last_name: Miserendino
- first_name: Pradeep
full_name: Eranti, Pradeep
last_name: Eranti
- first_name: Ana
full_name: Castillo-Orozco, Ana
last_name: Castillo-Orozco
- first_name: Yesid
full_name: Cuesta-Astroz, Yesid
last_name: Cuesta-Astroz
- first_name: R Gonzalo
full_name: Parra, R Gonzalo
last_name: Parra
citation:
ama: 'Padilla Franzotti CL, Olguín-Orellana GJ, Palopoli N, et al. Bioinformatics
in Español: Expanding open, diverse, and collaborative science through SEH2Bioinfo.
Bioinformatics Advances. 2026;6(1). doi:10.1093/bioadv/vbag182'
apa: 'Padilla Franzotti, C. L., Olguín-Orellana, G. J., Palopoli, N., Urquiza-Zurich,
S., Garcia-Moreno, A., Monzón, S., … Parra, R. G. (2026). Bioinformatics in Español:
Expanding open, diverse, and collaborative science through SEH2Bioinfo. Bioinformatics
Advances. Oxford University Press. https://doi.org/10.1093/bioadv/vbag182'
chicago: 'Padilla Franzotti, Carla L, Gabriel J Olguín-Orellana, Nicolas Palopoli,
Sebastián Urquiza-Zurich, Adrian Garcia-Moreno, Sara Monzón, Mónica Cabrera-Pasadas,
et al. “Bioinformatics in Español: Expanding Open, Diverse, and Collaborative
Science through SEH2Bioinfo.” Bioinformatics Advances. Oxford University
Press, 2026. https://doi.org/10.1093/bioadv/vbag182.'
ieee: 'C. L. Padilla Franzotti et al., “Bioinformatics in Español: Expanding
open, diverse, and collaborative science through SEH2Bioinfo,” Bioinformatics
Advances, vol. 6, no. 1. Oxford University Press, 2026.'
ista: 'Padilla Franzotti CL, Olguín-Orellana GJ, Palopoli N, Urquiza-Zurich S, Garcia-Moreno
A, Monzón S, Cabrera-Pasadas M, Soler Sáez I, Perpiñá-Clérigues C, Puche Quiñonez
RJ, Vélez Segura J, Lovaco-Flores JA, Osorio Mogollón CM, Esquinas-Román EM, Miserendino
MC, Eranti P, Castillo-Orozco A, Cuesta-Astroz Y, Parra RG. 2026. Bioinformatics
in Español: Expanding open, diverse, and collaborative science through SEH2Bioinfo.
Bioinformatics Advances. 6(1), vbag182.'
mla: 'Padilla Franzotti, Carla L., et al. “Bioinformatics in Español: Expanding
Open, Diverse, and Collaborative Science through SEH2Bioinfo.” Bioinformatics
Advances, vol. 6, no. 1, vbag182, Oxford University Press, 2026, doi:10.1093/bioadv/vbag182.'
short: C.L. Padilla Franzotti, G.J. Olguín-Orellana, N. Palopoli, S. Urquiza-Zurich,
A. Garcia-Moreno, S. Monzón, M. Cabrera-Pasadas, I. Soler Sáez, C. Perpiñá-Clérigues,
R.J. Puche Quiñonez, J. Vélez Segura, J.A. Lovaco-Flores, C.M. Osorio Mogollón,
E.M. Esquinas-Román, M.C. Miserendino, P. Eranti, A. Castillo-Orozco, Y. Cuesta-Astroz,
R.G. Parra, Bioinformatics Advances 6 (2026).
das_tickbox: '1'
dataavailabilitystatement: "The data underlying this article, including the abstract
books for\r\nthe first and second editions of the SEH2Bioinfo symposia, are\r\navailable
in Zenodo at https://doi.org/10.5281/zenodo.6603621\r\nand https://doi.org/10.5281/zenodo.1,54,46,570,
respectively."
date_created: 2026-09-17T11:06:17Z
date_published: 2026-08-06T00:00:00Z
date_updated: 2026-10-01T08:59:32Z
day: '06'
ddc:
- '570'
department:
- _id: PaSc
- _id: GradSch
doi: 10.1093/bioadv/vbag182
external_id:
pmid:
- '42577783'
file:
- access_level: open_access
checksum: 8885b0531a655103c46899b2f935b0db
content_type: application/pdf
creator: dernst
date_created: 2026-10-01T08:55:00Z
date_updated: 2026-10-01T08:55:00Z
file_id: '23016'
file_name: 2026_BioinformaticsAdvances_Franzotti.pdf
file_size: 1359968
relation: main_file
success: 1
file_date_updated: 2026-10-01T08:55:00Z
fulldoi: https://doi.org/10.1093/bioadv/vbag182
has_accepted_license: '1'
intvolume: ' 6'
issue: '1'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
pmid: 1
publication: Bioinformatics Advances
publication_identifier:
eissn:
- 2635-0041
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1093/bioadv/vbag271
researchdata_availability: yes
scopus_import: '1'
status: public
supplementarymaterial: no
title: 'Bioinformatics in Español: Expanding open, diverse, and collaborative science
through SEH2Bioinfo'
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: 6
year: '2026'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '22958'
abstract:
- lang: eng
text: "We propose a sensing scheme for detecting weak forces that achieves sensitivity
scaling proportional to the number of individual sensors without relying on entanglement
or other non-classical resources. Our scheme utilizes coherent averaging across
a chain of \r\n optomechanical cavities, unidirectionally coupled via a laser
beam. As the beam passes through the cavities, it accumulates phase shifts induced
by a common external force acting on the mechanical elements. Remarkably, this
fully classical approach achieves the sensitivity scaling typically associated
with quantum-enhanced protocols, providing a robust and experimentally feasible
route to precision sensing. Potential applications range from high-sensitivity
gravitational field measurements at the Large Hadron Collider to probing dark
matter interactions and detecting gravitational waves. This work opens a new pathway
for leveraging coherent light-matter interactions for force sensing."
acknowledgement: 'We thank Germain Tobar, Navdeep Arya, Magdalena Zych, Teodor Strömberg
and Onur Hosten for useful discussions. M M M acknowledges support from the Walter
Benjamin Programme (Project Number 510053905) and from the Austrian Science Fund
(FWF) [10.55776/COE1]. DB acknowledges funding by the EU EIC Pathfinder project
QuCoM (101046973). D R acknowledges funding by the Federal Ministry of Education
and Research of Germany in the project ‘Open6GHub’ (Grant Number: 16KISK016), financial
support from EPSRC (Engineering & Physical Sciences Research Council, United Kingdom)
Grant Number EP/X009467/1, and support by the Deutsche Forschungsgemeinschaft (DFG,
German Research Foundation) under Germany’s Excellence Strategy—EXC-2123 QuantumFrontiers
- 390837967.'
article_number: '084505'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Marta M
full_name: Marchese, Marta M
id: fdac3bd4-d1c1-11ef-aaa4-fad05dc21577
last_name: Marchese
- first_name: Daniel
full_name: Braun, Daniel
last_name: Braun
- first_name: Stefan
full_name: Nimmrichter, Stefan
last_name: Nimmrichter
- first_name: Dennis
full_name: Rätzel, Dennis
last_name: Rätzel
citation:
ama: Marchese MM, Braun D, Nimmrichter S, Rätzel D. Cascaded optomechanical sensing
for small signals. New Journal of Physics. 2026;28(8). doi:10.1088/1367-2630/ae8b16
apa: Marchese, M. M., Braun, D., Nimmrichter, S., & Rätzel, D. (2026). Cascaded
optomechanical sensing for small signals. New Journal of Physics. IOP Publishing.
https://doi.org/10.1088/1367-2630/ae8b16
chicago: Marchese, Marta M, Daniel Braun, Stefan Nimmrichter, and Dennis Rätzel.
“Cascaded Optomechanical Sensing for Small Signals.” New Journal of Physics.
IOP Publishing, 2026. https://doi.org/10.1088/1367-2630/ae8b16.
ieee: M. M. Marchese, D. Braun, S. Nimmrichter, and D. Rätzel, “Cascaded optomechanical
sensing for small signals,” New Journal of Physics, vol. 28, no. 8. IOP
Publishing, 2026.
ista: Marchese MM, Braun D, Nimmrichter S, Rätzel D. 2026. Cascaded optomechanical
sensing for small signals. New Journal of Physics. 28(8), 084505.
mla: Marchese, Marta M., et al. “Cascaded Optomechanical Sensing for Small Signals.”
New Journal of Physics, vol. 28, no. 8, 084505, IOP Publishing, 2026, doi:10.1088/1367-2630/ae8b16.
short: M.M. Marchese, D. Braun, S. Nimmrichter, D. Rätzel, New Journal of Physics
28 (2026).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: All data that support the findings of this study are included
within the article (and any supplementary files).
date_created: 2026-09-17T11:06:23Z
date_published: 2026-08-13T00:00:00Z
date_updated: 2026-10-01T09:19:39Z
day: '13'
ddc:
- '530'
department:
- _id: OnHo
doi: 10.1088/1367-2630/ae8b16
external_id:
arxiv:
- '2602.08981'
file:
- access_level: open_access
checksum: b932d9f4bac1a2f6777e41d884b7b703
content_type: application/pdf
creator: dernst
date_created: 2026-10-01T09:17:19Z
date_updated: 2026-10-01T09:17:19Z
file_id: '23018'
file_name: 2026_NewJourPhysics_Marchese.pdf
file_size: 799610
relation: main_file
success: 1
file_date_updated: 2026-10-01T09:17:19Z
fulldoi: https://doi.org/10.1088/1367-2630/ae8b16
has_accepted_license: '1'
intvolume: ' 28'
issue: '8'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 3b79db15-b029-11f1-a721-dbd41d892ec2
grant_number: COE01
name: Quantum Science Austria (Hosten)
publication: New Journal of Physics
publication_identifier:
eissn:
- 1367-2630
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Cascaded optomechanical sensing for small signals
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: 28
year: '2026'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22959'
abstract:
- lang: eng
text: 'With this status report, we aim to provide a timely snapshot of the protein
engineering field as a broad and rapidly advancing discipline that integrates
computational, molecular biology, structure-guided, evolutionary, and synthetic
approaches to create new and improved proteins with tailored structures and useful
functions. The report is organized into eight thematic areas spanning core methodologies
and major application domains, including enzymes, therapeutics, detection, synthetic
biology, and materials. Contributions from experts across these areas highlight
both the historical foundations and recent advances in their respective fields,
with particular emphasis on the growing influence of machine learning and artificial
intelligence-based methods. Emerging from this broad overview is a central message:
protein engineering appears to be entering a golden age, defined by a rapidly
accelerating pace of progress, even as significant challenges in design, screening,
and real-world application remain. Looking ahead, the continued integration of
computational and experimental strategies is poised to further accelerate the
impact of protein engineering across an expanding range of economically and societally
important sectors, from therapeutics and molecular imaging to diagnostics, plastic
recycling, and industrial chemistry.'
acknowledgement: "Research in the lab of H.A. is supported by the National Institutes
of Health (R01EB033172, R01EB035430, and R01AG077773).\r\n\r\nResearch in the lab
of F.H.A. is supported by the US Army Research Office cooperative agreement for
the Institute for Collaborative Biotechnologies (W911NF-19-2-0026) and the US Department
of Energy, Office of Science, Office of Basic Energy Sciences (DE-SC0021141). This
report was prepared as an account of work sponsored by an agency of the US Government.
Neither the US Government nor any agency thereof, nor any of their employees, makes
any warranty, express or implied, or assumes any legal liability or responsibility
for the accuracy, completeness, or usefulness of any information, apparatus, product,
or process disclosed, or represents that its use would not infringe privately owned
rights. Reference herein to any specific commercial product, process, or service
by trade name, trademark, manufacturer, or otherwise does not necessarily constitute
or imply its endorsement, recommendation, or favoring by the US Government or any
agency thereof. The views and opinions of authors expressed herein do not necessarily
state or reflect those of the US Government or any agency thereof.\r\n\r\nResearch
in the lab of D.B. has been supported by National Institutes of Health (NIH) (R35-GM158123-01
and R01-GM068462).\r\n\r\nResearch in the lab of H.B. is supported by grants from
the Bill & Melinda Gates Foundation and Oxford Nanopore Technologies.\r\n\r\nResearch
in the lab of R.E.C. is supported by grants from the Japan Society for the Promotion
of Science (JSPS) (23K26794, 24H00489, and 24H02267), Japan Science and Technology
Agency (JST) (JPMJCR25T3), the Mitsubishi Foundation, and the NIH (U01NS123658).\r\n\r\nResearch
in the lab of P.C. is supported by grants from the Vidyasirimedhi Institute of Science
and Technology (VISTEC), NSRF via the Program Management Unit for Human Resources
& Institutional Development (PMU-B) Research and Innovation grant number B05F640089,
and KasikornBank Public Company Limited.\r\n\r\nResearch in the lab of R.A.C. is
supported by grants from the Natural Sciences and Engineering Research Council of
Canada (RGPIN-2021-03484, RGPAS-2021-00017, and ALLRP-597074-24), the Human Frontier
Science Program (RGP0004/2022) and the Canada Foundation for Innovation (26503 and
42695). B.J.S. was supported by an NSERC Canada Graduate Research Scholarship.\r\n\r\nResearch
in the lab of V.G.H.E. is supported by grants from the European Research Council,
ERC (grant number 856446, CUBE), the Novo Nordisk Foundation (Emerging Investigator
grant to A.V.; grant number 0061165) and the Research Council of Norway (grant numbers
309558, Centre for Industrial Biotechnology, SFI-IB, and 257622, Bio4Fuels).\r\n\r\nThis
project in the lab of R.F. was supported by Robert A. Welch Foundation (AT-0051-20221212),
and the Cancer Prevention and Research Institute of Texas (grant RR230018).\r\n\r\nResearch
in the lab of M.S.F. is supported by ETH Zurich and the Swiss National Science Foundation
(SNSF) under grant number CR00I5-235927.\r\n\r\nThis project in the lab of J.J.G
is supported by the NIH (R35 GM141881) and a National Science Foundation (NSF) Graduate
Research Fellowship Program to M.C.\r\n\r\nRelated research in the lab of B.H. is
supported by the German Research Foundation (DFG) Project Number 391977956—SFB 1357
Microplastics, subproject C03 and by the European Union’s Horizon 2020 research
and innovation programme under grant agreement No 951375 (ERC Synergy—ArtMotor).\r\n\r\nRelated
work in the lab of S.C.L.K. is supported by the NSF under Grant No. 2414074. S.C.L.K.
is the Georgia Research Alliance—Vasser Wooley Chair of Molecular Design at Georgia
Tech.\r\n\r\nResearch in the lab of N.K. is supported by grants from the JSPS (24H02261).\r\n\r\nThis
project in the lab of B.K. was supported by the NIH (R35 GM131923).\r\n\r\nResearch
in the lab of R.E.K. on bispecific antibodies is supported by a grant from the Baden-Württemberg
Stiftung and various industry collaborations. Past research was funded by the Deutsche
Krebshilfe, the BMBF, and the Deutsche Forschungsgemeinschaft.\r\n\r\nResearch in
the lab of R.D.L. (Protein Engineering and Structural Genomics group) is supported
by grants from Brazilian National Research Council—CNPq (303833/2022-0, 307370/2025-9),
the Oswaldo Cruz Fondation—Fiocruz (VPPIS-004-FIO-22, IAM-005-FIO-22, VPPCB-002-FIO25),
and the Brazilian National Supercomputing Center—LNCC.\r\n\r\nChemical protein synthesis
research in the lab of L.L. is supported by NSFC (22137005, 22227810, T2488301)
and New Cornerstone Science Foundation.\r\n\r\nResearch in the lab of M.M.M. is
supported by a Wellcome Trust/Royal Society Sir Henry Dale Fellowship (202250/Z/16/Z);
the Biotechnology and Biological Sciences Research Council (BB/W015730/1) and a
UKRI Postdoc Guarantee Fellowship (Horizon Europe Guarantee via EPSRC EP/Z000823/1
to L.F.G).\r\n\r\nResearch in the lab of F.Z. is partially supported by the Natural
Science Foundation of Shaanxi Province (2025SF-YBXM-421).\r\n\r\nResearch in the
lab of J.K.N. is supported by the NIH (R35GM155044), Biohub, San Francisco, the
Pew Charitable Trusts, The Vallee Foundation, The Shurl and Kay Curci Foundation,
the Bakar Fellows Program, and a Sloan Research Fellowship. I.J.O. acknowledges
support from a Gilliam Fellowship from the Howard Hughes Medical Institute.\r\n\r\nResearch
in the lab of J.N.P. is supported by the Natural Science and Engineering Research
Council of Canada (RGPIN-N-2018-04686) and the Canada Research Chair in Engineering
of Applied Proteins (CRC-2020-00171). D.J.F. is supported by a fellowship from the
Fonds de recherche du Québec.\r\n\r\nResearch in the lab of A.P. has been supported
predominantly by grants from the SNSF, the European Union, the European Research
Council, as well as by pre- and postdoctoral fellowships to the co-workers.\r\n\r\nResearch
in the lab of Y.Q. is supported by a Horizon Europe Guarantee ERC Starting Grant
(EP/Z000351/1) and a Biotechnology and Biological Sciences Research Council Research
Grant (BB/W00349X/1).\r\n\r\nJ.C.R. acknowledges partial support from the SNSF Postdoc.Mobility
(P500PN_214290). The author thanks Chenghao Liu and Jason Yang for fruitful discussions.\r\n\r\nResearch
in the lab of S.S. is supported by a NWO-VIDI grant from the Netherlands Organization
for Scientific Research (NWO, VI.Vidi.213.025) and the European Research Council,
ERC (grant agreement number 101075934, ReCNNSTRCT).\r\n\r\nResearch in the lab of
J.B.S. is supported by a Helmsley Charitable Trust grant and a Swim Across America
grant.\r\n\r\nThis project in the lab of C.L.T. was supported by a grant from the
National Institute of General Medical Sciences of the NIH (R35GM136367).\r\n\r\nResearch
on ncAAs in the lab of J.A.V. is supported by a grant from the National Institute
of General Medical Sciences of the NIH (R35GM133471) and a grant from the NSF (2339201).
The content is solely the responsibility of the author and does not necessarily
represent the official views of the NIH or the NSF.\r\n\r\nResearch in the lab of
A.M.W is supported by an NIH Director’s New Innovator Award (DP2GM149548), a David
and Lucille Packard Fellowship for Science and Engineering (2021-73007), an Ono
Pharma Foundation Breakthrough Science Initiative Award (149802896), and the University
of Wisconsin—Madison Department of Biochemistry.\r\n\r\nProjects in the lab of A.H-W.Y.
are supported by NIH/NIBIB R00EB031913, UCSC startup/Innovation Catalyst Grant,
and Chan Zuckerberg Initiative (2024-337820).\r\n\r\nResearch in the lab of J.Zhang
is supported by NIH grants R35 CA197622, R01 DK073368, R01 DE030497, R01 HL162302,
R01 CA262815, and RF1 MH126707.\r\n\r\nResearch in the lab of H. Z. is supported
by the DOE Center for Advanced Bioenergy and Bioproducts Innovation (U.S. Department
of Energy, Office of Science, Biological and Environmental Research Program under
Award Number DE-SC0018420), National Science Foundation (NSF) (DBI-2400058, OISE-2435374,
IIS-2435755, and CHE-2505932), and National Institutes of Health (NIH) (AI144967).
Any opinions, findings, and conclusions or recommendations expressed in this material
are those of the author(s) and do not necessarily reflect the views of the DOE,
NSF or NIH.\r\n\r\nThe authors are grateful to the anonymous peer reviewers and
to Anna Devor for inspiration and guidance for preparing this manuscript."
article_number: gzag020
article_processing_charge: No
article_type: review
author:
- first_name: Hui-wang
full_name: Ai, Hui-wang
last_name: Ai
- first_name: Frances H
full_name: Arnold, Frances H
last_name: Arnold
- first_name: Doug
full_name: Barrick, Doug
last_name: Barrick
- first_name: Hagan
full_name: Bayley, Hagan
last_name: Bayley
- first_name: Alfie-Louise R
full_name: Brownless, Alfie-Louise R
last_name: Brownless
- first_name: Robert E
full_name: Campbell, Robert E
last_name: Campbell
- first_name: Roger
full_name: Castells-Graells, Roger
last_name: Castells-Graells
- first_name: Pimchai
full_name: Chaiyen, Pimchai
last_name: Chaiyen
- first_name: Roberto A
full_name: Chica, Roberto A
last_name: Chica
- first_name: Lauren O
full_name: Chisholm, Lauren O
last_name: Chisholm
- first_name: Daniel
full_name: Christ, Daniel
last_name: Christ
- first_name: Guo-Chao
full_name: Chu, Guo-Chao
last_name: Chu
- first_name: Michael
full_name: Chungyoun, Michael
last_name: Chungyoun
- first_name: Vincent G H
full_name: Eijsink, Vincent G H
last_name: Eijsink
- first_name: Michael B
full_name: Elowitz, Michael B
last_name: Elowitz
- first_name: Douglas J
full_name: Fansher, Douglas J
last_name: Fansher
- first_name: Rudi
full_name: Fasan, Rudi
last_name: Fasan
- first_name: Gabriel
full_name: Foley, Gabriel
last_name: Foley
- first_name: Michelle S
full_name: Frei, Michelle S
last_name: Frei
- first_name: Andreas
full_name: Gagsteiger, Andreas
last_name: Gagsteiger
- first_name: Ruiyan
full_name: Gao, Ruiyan
last_name: Gao
- first_name: Elizabeth M J
full_name: Gillam, Elizabeth M J
last_name: Gillam
- first_name: Jeffrey J
full_name: Gray, Jeffrey J
last_name: Gray
- first_name: Luis F
full_name: Guerra, Luis F
last_name: Guerra
- first_name: Birte
full_name: Höcker, Birte
last_name: Höcker
- first_name: Zhiyang
full_name: Jin, Zhiyang
last_name: Jin
- first_name: Shina Caroline Lynn
full_name: Kamerlin, Shina Caroline Lynn
last_name: Kamerlin
- first_name: Nobuyasu
full_name: Koga, Nobuyasu
last_name: Koga
- first_name: Roland E
full_name: Kontermann, Roland E
last_name: Kontermann
- first_name: Brian
full_name: Kuhlman, Brian
last_name: Kuhlman
- first_name: Olivia A
full_name: Langlois, Olivia A
last_name: Langlois
- first_name: Dongyang
full_name: Li, Dongyang
last_name: Li
- first_name: Roberto D
full_name: Lins, Roberto D
last_name: Lins
- first_name: Chang C
full_name: Liu, Chang C
last_name: Liu
- first_name: Lei
full_name: Liu, Lei
last_name: Liu
- first_name: Diego
full_name: López Barreiro, Diego
last_name: López Barreiro
- first_name: Peilong
full_name: Lu, Peilong
last_name: Lu
- first_name: Sohum
full_name: Mehta, Sohum
last_name: Mehta
- first_name: Ikumi
full_name: Miyazaki, Ikumi
last_name: Miyazaki
- first_name: Manuel M
full_name: Müller, Manuel M
last_name: Müller
- first_name: Serge
full_name: Muyldermans, Serge
last_name: Muyldermans
- first_name: Naoto
full_name: Nemoto, Naoto
last_name: Nemoto
- first_name: Jeff
full_name: Nivala, Jeff
last_name: Nivala
- first_name: James K
full_name: Nuñez, James K
last_name: Nuñez
- first_name: Izaiah J
full_name: Ornelas, Izaiah J
last_name: Ornelas
- first_name: Joelle N
full_name: Pelletier, Joelle N
last_name: Pelletier
- first_name: Andreas
full_name: Plückthun, Andreas
last_name: Plückthun
- first_name: Owen T
full_name: Porth, Owen T
last_name: Porth
- first_name: Kridsadakorn
full_name: Prakinee, Kridsadakorn
last_name: Prakinee
- first_name: Yujia
full_name: Qing, Yujia
last_name: Qing
- first_name: Julia
full_name: Reisenbauer, Julia
id: 51d862e9-36ee-11f0-86d3-8534c85a5496
last_name: Reisenbauer
- first_name: Sandy
full_name: Schmidt, Sandy
last_name: Schmidt
- first_name: Oliver
full_name: Seifert, Oliver
last_name: Seifert
- first_name: Mikhail G
full_name: Shapiro, Mikhail G
last_name: Shapiro
- first_name: Rachna
full_name: Sharma, Rachna
last_name: Sharma
- first_name: Nilmani
full_name: Singh, Nilmani
last_name: Singh
- first_name: Benjamin J
full_name: Smith, Benjamin J
last_name: Smith
- first_name: Jamie B
full_name: Spangler, Jamie B
last_name: Spangler
- first_name: Rie
full_name: Tatsumi-Koga, Rie
last_name: Tatsumi-Koga
- first_name: Takuya
full_name: Terai, Takuya
last_name: Terai
- first_name: Henrik
full_name: Terholsen, Henrik
last_name: Terholsen
- first_name: Mattias
full_name: Tolhurst, Mattias
last_name: Tolhurst
- first_name: Katherine W
full_name: Tripp, Katherine W
last_name: Tripp
- first_name: Vanessa Tanja
full_name: Trossmann, Vanessa Tanja
last_name: Trossmann
- first_name: Chandra L
full_name: Tucker, Chandra L
last_name: Tucker
- first_name: Onur
full_name: Turak, Onur
last_name: Turak
- first_name: James A
full_name: Van Deventer, James A
last_name: Van Deventer
- first_name: Anikó
full_name: Várnai, Anikó
last_name: Várnai
- first_name: Isabelle F T
full_name: Viana, Isabelle F T
last_name: Viana
- first_name: Amy M
full_name: Weeks, Amy M
last_name: Weeks
- first_name: K Dane
full_name: Wittrup, K Dane
last_name: Wittrup
- first_name: Kingsley L-J
full_name: Wong, Kingsley L-J
last_name: Wong
- first_name: Chenggang
full_name: Xi, Chenggang
last_name: Xi
- first_name: Todd O
full_name: Yeates, Todd O
last_name: Yeates
- first_name: Andy Hsien-Wei
full_name: Yeh, Andy Hsien-Wei
last_name: Yeh
- first_name: Jin
full_name: Zhang, Jin
last_name: Zhang
- first_name: Tiger S
full_name: Zhang, Tiger S
last_name: Zhang
- first_name: Huimin
full_name: Zhao, Huimin
last_name: Zhao
- first_name: Fang
full_name: Zheng, Fang
last_name: Zheng
- first_name: Jingyi
full_name: Zhu, Jingyi
last_name: Zhu
- first_name: Sacha
full_name: Zinn, Sacha
last_name: Zinn
citation:
ama: 'Ai H, Arnold FH, Barrick D, et al. Protein engineering: Status report. Protein
Engineering, Design and Selection. 2026;39. doi:10.1093/protein/gzag020'
apa: 'Ai, H., Arnold, F. H., Barrick, D., Bayley, H., Brownless, A.-L. R., Campbell,
R. E., … Zinn, S. (2026). Protein engineering: Status report. Protein Engineering,
Design and Selection. Oxford University Press. https://doi.org/10.1093/protein/gzag020'
chicago: 'Ai, Hui-wang, Frances H Arnold, Doug Barrick, Hagan Bayley, Alfie-Louise
R Brownless, Robert E Campbell, Roger Castells-Graells, et al. “Protein Engineering:
Status Report.” Protein Engineering, Design and Selection. Oxford University
Press, 2026. https://doi.org/10.1093/protein/gzag020.'
ieee: 'H. Ai et al., “Protein engineering: Status report,” Protein Engineering,
Design and Selection, vol. 39. Oxford University Press, 2026.'
ista: 'Ai H, Arnold FH, Barrick D, Bayley H, Brownless A-LR, Campbell RE, Castells-Graells
R, Chaiyen P, Chica RA, Chisholm LO, Christ D, Chu G-C, Chungyoun M, Eijsink VGH,
Elowitz MB, Fansher DJ, Fasan R, Foley G, Frei MS, Gagsteiger A, Gao R, Gillam
EMJ, Gray JJ, Guerra LF, Höcker B, Jin Z, Kamerlin SCL, Koga N, Kontermann RE,
Kuhlman B, Langlois OA, Li D, Lins RD, Liu CC, Liu L, López Barreiro D, Lu P,
Mehta S, Miyazaki I, Müller MM, Muyldermans S, Nemoto N, Nivala J, Nuñez JK, Ornelas
IJ, Pelletier JN, Plückthun A, Porth OT, Prakinee K, Qing Y, Reisenbauer J, Schmidt
S, Seifert O, Shapiro MG, Sharma R, Singh N, Smith BJ, Spangler JB, Tatsumi-Koga
R, Terai T, Terholsen H, Tolhurst M, Tripp KW, Trossmann VT, Tucker CL, Turak
O, Van Deventer JA, Várnai A, Viana IFT, Weeks AM, Wittrup KD, Wong KL-J, Xi C,
Yeates TO, Yeh AH-W, Zhang J, Zhang TS, Zhao H, Zheng F, Zhu J, Zinn S. 2026.
Protein engineering: Status report. Protein Engineering, Design and Selection.
39, gzag020.'
mla: 'Ai, Hui-wang, et al. “Protein Engineering: Status Report.” Protein Engineering,
Design and Selection, vol. 39, gzag020, Oxford University Press, 2026, doi:10.1093/protein/gzag020.'
short: H. Ai, F.H. Arnold, D. Barrick, H. Bayley, A.-L.R. Brownless, R.E. Campbell,
R. Castells-Graells, P. Chaiyen, R.A. Chica, L.O. Chisholm, D. Christ, G.-C. Chu,
M. Chungyoun, V.G.H. Eijsink, M.B. Elowitz, D.J. Fansher, R. Fasan, G. Foley,
M.S. Frei, A. Gagsteiger, R. Gao, E.M.J. Gillam, J.J. Gray, L.F. Guerra, B. Höcker,
Z. Jin, S.C.L. Kamerlin, N. Koga, R.E. Kontermann, B. Kuhlman, O.A. Langlois,
D. Li, R.D. Lins, C.C. Liu, L. Liu, D. López Barreiro, P. Lu, S. Mehta, I. Miyazaki,
M.M. Müller, S. Muyldermans, N. Nemoto, J. Nivala, J.K. Nuñez, I.J. Ornelas, J.N.
Pelletier, A. Plückthun, O.T. Porth, K. Prakinee, Y. Qing, J. Reisenbauer, S.
Schmidt, O. Seifert, M.G. Shapiro, R. Sharma, N. Singh, B.J. Smith, J.B. Spangler,
R. Tatsumi-Koga, T. Terai, H. Terholsen, M. Tolhurst, K.W. Tripp, V.T. Trossmann,
C.L. Tucker, O. Turak, J.A. Van Deventer, A. Várnai, I.F.T. Viana, A.M. Weeks,
K.D. Wittrup, K.L.-J. Wong, C. Xi, T.O. Yeates, A.H.-W. Yeh, J. Zhang, T.S. Zhang,
H. Zhao, F. Zheng, J. Zhu, S. Zinn, Protein Engineering, Design and Selection
39 (2026).
das_tickbox: '1'
dataavailabilitystatement: No new data were generated or analysed in support of this
research.
date_created: 2026-09-17T11:06:36Z
date_published: 2026-07-17T00:00:00Z
date_updated: 2026-10-01T09:29:15Z
day: '17'
ddc:
- '570'
department:
- _id: JuRe
doi: 10.1093/protein/gzag020
external_id:
pmid:
- '42466865'
file:
- access_level: open_access
checksum: 4015ecfe11b3b0cac757d5bdd10d3c1d
content_type: application/pdf
creator: dernst
date_created: 2026-10-01T09:24:22Z
date_updated: 2026-10-01T09:24:22Z
file_id: '23019'
file_name: 2026_ProteinEngineeringDesignSelection_Ai.pdf
file_size: 12603911
relation: main_file
success: 1
file_date_updated: 2026-10-01T09:24:22Z
fulldoi: https://doi.org/10.1093/protein/gzag020
has_accepted_license: '1'
intvolume: ' 39'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
publication: Protein Engineering, Design and Selection
publication_identifier:
eissn:
- 1741-0134
issn:
- 1741-0126
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: 'Protein engineering: Status report'
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: 39
year: '2026'
...
---
OA_place: publisher
_id: '21198'
abstract:
- lang: eng
text: "In recent years there has been a massive increase in the amount of data generated
in a\r\ndecentralized manner. Ever more powerful edge devices, such as smartphones,
have become\r\nubiquitous in most societies on earth. Through text typed, photos
taken and apps used,\r\nthese devices, which we refer to as clients, generate
enormous amounts of high quality and\r\ncomplex data. Moreover, the nature of
these devices means the data they generate is often\r\nsensitive and privacy concerns
prevent it being gathered and stored in a central location. This\r\npresents a
challenge to the modern machine learning paradigm that requires central access\r\nto
large amounts of data. Federated learning (FL) has emerged as one of the answers
to\r\nthis problem. Rather than bringing the data to the model, FL sends the model
to the data.\r\nModel training takes place on device, with periodically synchronized
updates, allowing data to\r\nremain locally stored. While this approach offers
significant privacy advantages it comes with\r\nits own set of unique challenges.
These include: data heterogeneity, the notion that different\r\ndevices generate
data in distinct ways which can negatively impact training dynamics; systems\r\nheterogeneity,
meaning that different devices may have differing hardware specifications; high\r\ncommunication
costs, which are induced by the repeated transferring of models over the\r\nnetwork
and low device computational power, which limits the use of larger models on device.\r\nIn
this thesis we present a range of methods for federated learning. We focus primarily
on\r\nthe challenge of data heterogeneity, though the methods presented are designed
to be well\r\nadapted to the other challenges of a federated setting, such as
the constraints of limited\r\ncompute and communication overhead. We first present
a method for explicitly modeling client\r\ndata heterogeneity. The approach formulates
clients as samples from a certain probability\r\ndistribution and infers the parameters
of this distribution from the available training clients.\r\nThis learned distribution
then represents the heterogeneity present among the clients and can\r\nbe sampled
from in order to create new simulated clients that are similar to the real clients
we\r\nhave observed so far. Following this we present two methods for directly
dealing with data\r\nheterogeneity through personalization. Highly heterogeneous
client data distributions can mean\r\nthat learning a single global model becomes
suboptimal, and some form of personalization of\r\nmodels to each individual client
is required. Our approaches are based around hypernetworks,\r\nwhich we use to
generate personalized model parameters without the need for additional\r\ntraining
or finetuning. In the first approach we focus on generating full parameterizations
of\r\nclient models using learned embeddings of client data and labels, with a
hypernetwork located\r\non the central server. In the second approach we address
the more challenging scenario where\r\nwe want to generate a personalized model
for a client without any label information. The\r\nhypernetwork is trained to
generate a low dimensional representation of a client’s personalized\r\nmodel
parameters, allowing it to be transferred to and run on the client devices. In
our final\r\npresented method, we change our focus and rather than aim to directly
address the challenge\r\nof data heterogeneity, we instead ensure we are unaffected
by it. This is done in the context\r\nof k-means clustering and we present a method
for federated clustering with a focus on added\r\nprivacy guarantees."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "This research was funded in part by the Austrian Science Fund (FWF)\r\n[10.55776/COE12].
Furthermore, the candidate acknowledges the support from the Scientific\r\nService
Units (SSU) of ISTA through resources provided by Scientific Computing (SciComp)."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Jonathan A
full_name: Scott, Jonathan A
id: e499926b-f6e0-11ea-865d-9c63db0031e8
last_name: Scott
citation:
ama: Scott JA. Data heterogeneity and personalization in federated learning. 2026.
doi:10.15479/AT-ISTA-21198
apa: Scott, J. A. (2026). Data heterogeneity and personalization in federated
learning. Institute of Science and Technology Austria. https://doi.org/10.15479/AT-ISTA-21198
chicago: Scott, Jonathan A. “Data Heterogeneity and Personalization in Federated
Learning.” Institute of Science and Technology Austria, 2026. https://doi.org/10.15479/AT-ISTA-21198.
ieee: J. A. Scott, “Data heterogeneity and personalization in federated learning,”
Institute of Science and Technology Austria, 2026.
ista: Scott JA. 2026. Data heterogeneity and personalization in federated learning.
Institute of Science and Technology Austria.
mla: Scott, Jonathan A. Data Heterogeneity and Personalization in Federated Learning.
Institute of Science and Technology Austria, 2026, doi:10.15479/AT-ISTA-21198.
short: J.A. Scott, Data Heterogeneity and Personalization in Federated Learning,
Institute of Science and Technology Austria, 2026.
corr_author: '1'
date_created: 2026-02-09T14:59:53Z
date_published: 2026-02-09T00:00:00Z
date_updated: 2026-10-01T09:29:03Z
day: '09'
ddc:
- '005'
degree_awarded: PhD
department:
- _id: GradSch
- _id: ChLa
doi: 10.15479/AT-ISTA-21198
doi_confirm: '1'
file:
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orcid: 0000-0001-8622-7887
title: Data heterogeneity and personalization in federated learning
type: dissertation
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...
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text: "As neural-network-based models grow both in size and popularity, interest
has grown in making the models smaller and more efficient to train. To that end,
many methods have been proposed to prune models by reducing their number of nonzero
parameters. Additionally, parameter-efficient fine-tuning, in which a much smaller
number of parameters than the total contained in the model is updated during training,
has become very popular, especially in the space of Large Language Models. At
the same time, the increasingly routine deployment of machine learning in real-world
applications has spurred a drive to make them more trustworthy - in the sense
of, among other things, being unbiased, interpretable, and editable. In this thesis,
we examine the interplay between efficiency and trustworthiness.\r\n\r\nFirst,
we analyze the effects of model pruning on bias in computer vision models, demonstrating
that increased sparsity leads to greater bias, largely as a function of increased
model uncertainty in marginal cases. Based on this observation, we propose several
bias mitigation techniques. Then, we demonstrate that example-specific model pruning
can improve model interpretation methods while improving pruning efficiency to
make example-specific model pruning feasible in real time. Then, we investigate
the effectiveness of parameter-efficient and data-efficient model personalization
via fine-tuning, demonstrating that it is highly feasible with very small computational
and data resources. Finally, we consider efficiency in editing model knowledge
using a custom synthetic data framework, demonstrating that parameter-efficient,
low-rank fine-tuning frequently outperforms full-rank fine-tuning, and, additionally,
that restricting which model blocks are fine-tuned frequently improves results.
Together, the results in this thesis provide new insights and techniques for combining
trustworthiness and efficiency during neural network inference and training.\r\n\r\n"
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "The research in this Ph.D. was funded in whole\r\nor in part by
the Austrian Science Fund (FWF) W1260-N35 (Vienna Graduate School for\r\nComputational
Optimization). For open access purposes the author has applied a CC BY\r\npublic
copyright license to any author accepted manuscript version arising from this submission\r\nwherever
possible. Additionally, I am grateful to Alois Schlögl, Waleed Khalid, and the rest
of\r\nthe ISTA Scientific Computing team for building and maintaining the infrastructure
I used\r\nto run experiments. I’m also deeply grateful to the Alistarh group’s administrative
assistant,\r\nChristine Francois, who always deals with our nonsense with common
sense and a smile.\r\n"
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- ISTA Thesis
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ama: Iofinova EB. On the utility and effects of efficiency in artificial neural
networks. 2026. doi:10.15479/AT-ISTA-21854
apa: Iofinova, E. B. (2026). On the utility and effects of efficiency in artificial
neural networks. Institute of Science and Technology Austria. https://doi.org/10.15479/AT-ISTA-21854
chicago: Iofinova, Eugenia B. “On the Utility and Effects of Efficiency in Artificial
Neural Networks.” Institute of Science and Technology Austria, 2026. https://doi.org/10.15479/AT-ISTA-21854.
ieee: E. B. Iofinova, “On the utility and effects of efficiency in artificial neural
networks,” Institute of Science and Technology Austria, 2026.
ista: Iofinova EB. 2026. On the utility and effects of efficiency in artificial
neural networks. Institute of Science and Technology Austria.
mla: Iofinova, Eugenia B. On the Utility and Effects of Efficiency in Artificial
Neural Networks. Institute of Science and Technology Austria, 2026, doi:10.15479/AT-ISTA-21854.
short: E.B. Iofinova, On the Utility and Effects of Efficiency in Artificial Neural
Networks, Institute of Science and Technology Austria, 2026.
corr_author: '1'
das_tickbox: '1'
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grant_number: W1260-N35
name: Vienna Graduate School on Computational Optimization
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publisher_comment: In reference to IEEE copyrighted material which is used with permission
in this thesis, the IEEE does not endorse any of ISTA's products or services. Internal
or personal use of this material is permitted. If interested in reprinting/republishing
IEEE copyrighted material for advertising or promotional purposes or for creating
new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html
to learn how to obtain a License from RightsLink. If applicable, University Microfilms
and/or ProQuest Library, or the Archives of Canada may supply single copies of the
dissertation.
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supervisor:
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full_name: Alistarh, Dan-Adrian
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title: On the utility and effects of efficiency in artificial neural networks
type: dissertation
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...
---
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abstract:
- lang: eng
text: "We construct and characterize a sample of 146 little red dots (LRDs) across
2.0Monthly Notices of the Royal Astronomical Society. 2026;551(3). doi:10.1093/mnras/stag1567'
apa: 'de Graaff, A., Hviding, R. E., Naidu, R. P., Greene, J. E., Miller, T. B.,
Leja, J., … van der Wel, A. (2026). Little red dots host black hole stars: A unified
family of gas-reddened AGN revealed by JWST/NIRSpec spectroscopy. Monthly Notices
of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stag1567'
chicago: 'de Graaff, Anna, Raphael E Hviding, Rohan P Naidu, Jenny E Greene, Tim
B Miller, Joel Leja, Jorryt J Matthee, et al. “Little Red Dots Host Black Hole
Stars: A Unified Family of Gas-Reddened AGN Revealed by JWST/NIRSpec Spectroscopy.”
Monthly Notices of the Royal Astronomical Society. Oxford University Press,
2026. https://doi.org/10.1093/mnras/stag1567.'
ieee: 'A. de Graaff et al., “Little red dots host black hole stars: A unified
family of gas-reddened AGN revealed by JWST/NIRSpec spectroscopy,” Monthly
Notices of the Royal Astronomical Society, vol. 551, no. 3. Oxford University
Press, 2026.'
ista: 'de Graaff A, Hviding RE, Naidu RP, Greene JE, Miller TB, Leja J, Matthee
JJ, Brammer G, Katz H, Bezanson R, Boogaard LA, Bose S, Chisholm J, Cleri NJ,
Dayal P, Feldmann R, Fudamoto Y, Fujimoto S, Furtak LJ, Glazebrook K, Gottumukkala
R, Heintz KE, Kokorev V, Labbe I, Maseda MV, McConachie I, Nanayakkara T, Nelson
E, Nowaczyk P, Oesch PA, Rix H-W, Setton DJ, Torralba Torregrosa A, Walter F,
Wang B, Weibel A, van der Wel A. 2026. Little red dots host black hole stars:
A unified family of gas-reddened AGN revealed by JWST/NIRSpec spectroscopy. Monthly
Notices of the Royal Astronomical Society. 551(3), stag1567.'
mla: 'de Graaff, Anna, et al. “Little Red Dots Host Black Hole Stars: A Unified
Family of Gas-Reddened AGN Revealed by JWST/NIRSpec Spectroscopy.” Monthly
Notices of the Royal Astronomical Society, vol. 551, no. 3, stag1567, Oxford
University Press, 2026, doi:10.1093/mnras/stag1567.'
short: A. de Graaff, R.E. Hviding, R.P. Naidu, J.E. Greene, T.B. Miller, J. Leja,
J.J. Matthee, G. Brammer, H. Katz, R. Bezanson, L.A. Boogaard, S. Bose, J. Chisholm,
N.J. Cleri, P. Dayal, R. Feldmann, Y. Fudamoto, S. Fujimoto, L.J. Furtak, K. Glazebrook,
R. Gottumukkala, K.E. Heintz, V. Kokorev, I. Labbe, M.V. Maseda, I. McConachie,
T. Nanayakkara, E. Nelson, P. Nowaczyk, P.A. Oesch, H.-W. Rix, D.J. Setton, A.
Torralba Torregrosa, F. Walter, B. Wang, A. Weibel, A. van der Wel, Monthly Notices
of the Royal Astronomical Society 551 (2026).
das_tickbox: '1'
dataavailabilitystatement: "All data used in this work are publicly available through
the\r\nDAWN JWST Archive (https://dawn-cph.github.io/dja/index.h\r\ntml). The spectra
used in this work are part of version 4.5 of the\r\nDJA (G. Brammer & F. Valentino
2025). We also release our complete LRD catalogue, together with all key measurements
made All data used in this work are publicly available through the\r\nDAWN JWST
Archive (https://dawn-cph.github.io/dja/index.h\r\ntml). The spectra used in this
work are part of version 4.5 of the\r\nDJA (G. Brammer & F. Valentino 2025). We
also release our complete LRD catalogue, together with all key measurements made
in the modified blackbody fitting and emission-line fitting. The\r\ntable can be
found at https://doi.org/10.5281/zenodo.21977747,\r\nand its contents are described
in Appendix B.\r\n\r\n"
date_created: 2026-09-17T11:06:40Z
date_published: 2026-09-01T00:00:00Z
date_updated: 2026-10-01T11:31:16Z
day: '01'
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abstract:
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text: A floating Leidenfrost droplet exhibits curvature inversion of its underside,
due to the balance of vapor pressure and surface tension. Using interferometric
imaging, we find different behavior for a levitated hydrogel sphere. Curvature
inversion is observed briefly just after deposition, but quickly gives way to
a steady state with no inversion. We show the essential role of vaporization in
shaping the underbelly of the hydrogel, where changes due to direct mass loss
are more significant than the balance of vapor pressure and elastic forces.
acknowledged_ssus:
- _id: M-Shop
- _id: ScienComp
acknowledgement: This research was supported by the Scientific Service Units of The
Institute of Science and Technology Austria (ISTA) through resources provided by
the Miba Machine Shop and the Scientific Computing Facility. J.B. acknowledges funding
from the European Union's Horizon research and innovation programme under the Marie
Sklodowska-Curie Grant Agreement No. 101106500.
article_number: L053502
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author:
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full_name: Diaz Melian, Vicente L
id: b6798902-eea0-11ea-9cbc-a8e14286c631
last_name: Diaz Melian
- first_name: Isaac C
full_name: Lenton, Isaac C
id: a550210f-223c-11ec-8182-e2d45e817efb
last_name: Lenton
orcid: 0000-0002-5010-6984
- first_name: Jack
full_name: Binysh, Jack
last_name: Binysh
- first_name: Anton
full_name: Souslov, Anton
last_name: Souslov
- first_name: Scott R
full_name: Waitukaitis, Scott R
id: 3A1FFC16-F248-11E8-B48F-1D18A9856A87
last_name: Waitukaitis
orcid: 0000-0002-2299-3176
citation:
ama: Diaz Melian VL, Lenton IC, Binysh J, Souslov A, Waitukaitis SR. Geometry of
the vapor layer under a Leidenfrost hydrogel sphere. Physical Review E.
2026;113(5). doi:10.1103/m7gr-2t6j
apa: Diaz Melian, V. L., Lenton, I. C., Binysh, J., Souslov, A., & Waitukaitis,
S. R. (2026). Geometry of the vapor layer under a Leidenfrost hydrogel sphere.
Physical Review E. American Physical Society. https://doi.org/10.1103/m7gr-2t6j
chicago: Diaz Melian, Vicente L, Isaac C Lenton, Jack Binysh, Anton Souslov, and
Scott R Waitukaitis. “Geometry of the Vapor Layer under a Leidenfrost Hydrogel
Sphere.” Physical Review E. American Physical Society, 2026. https://doi.org/10.1103/m7gr-2t6j.
ieee: V. L. Diaz Melian, I. C. Lenton, J. Binysh, A. Souslov, and S. R. Waitukaitis,
“Geometry of the vapor layer under a Leidenfrost hydrogel sphere,” Physical
Review E, vol. 113, no. 5. American Physical Society, 2026.
ista: Diaz Melian VL, Lenton IC, Binysh J, Souslov A, Waitukaitis SR. 2026. Geometry
of the vapor layer under a Leidenfrost hydrogel sphere. Physical Review E. 113(5),
L053502.
mla: Diaz Melian, Vicente L., et al. “Geometry of the Vapor Layer under a Leidenfrost
Hydrogel Sphere.” Physical Review E, vol. 113, no. 5, L053502, American
Physical Society, 2026, doi:10.1103/m7gr-2t6j.
short: V.L. Diaz Melian, I.C. Lenton, J. Binysh, A. Souslov, S.R. Waitukaitis, Physical
Review E 113 (2026).
corr_author: '1'
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abstract:
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text: When a Leidenfrost droplet floats on its own vapor layer, the interplay between
vapor pressure, surface tension, and gravity determines its shape, and in the
stable regime the underside of the droplet exhibits curvature inversion. Using
interferometric imaging, we observe a different behavior for a levitated hydrogel
sphere. Curvature inversion appears briefly after deposition, but the continuous
vaporization process removes this feature, leading first to an oscillatory regime
and eventually to a steady state without curvature inversion. We demonstrate the
essential role of vaporization in shaping the hydrogel underbelly, where direct
mass loss has a stronger influence than the balance between vapor pressure and
elastic forces.
acknowledged_ssus:
- _id: M-Shop
alternative_title:
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article_processing_charge: No
author:
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full_name: Diaz Melian, Vicente L
id: b6798902-eea0-11ea-9cbc-a8e14286c631
last_name: Diaz Melian
citation:
ama: Diaz Melian VL. The morphology underneath a levitated hydrogel sphere. 2026.
doi:10.15479/AT-ISTA-23005
apa: Diaz Melian, V. L. (2026). The morphology underneath a levitated hydrogel
sphere. Institute of Science and Technology Austria. https://doi.org/10.15479/AT-ISTA-23005
chicago: Diaz Melian, Vicente L. “The Morphology underneath a Levitated Hydrogel
Sphere.” Institute of Science and Technology Austria, 2026. https://doi.org/10.15479/AT-ISTA-23005.
ieee: V. L. Diaz Melian, “The morphology underneath a levitated hydrogel sphere,”
Institute of Science and Technology Austria, 2026.
ista: Diaz Melian VL. 2026. The morphology underneath a levitated hydrogel sphere.
Institute of Science and Technology Austria.
mla: Diaz Melian, Vicente L. The Morphology underneath a Levitated Hydrogel Sphere.
Institute of Science and Technology Austria, 2026, doi:10.15479/AT-ISTA-23005.
short: V.L. Diaz Melian, The Morphology underneath a Levitated Hydrogel Sphere,
Institute of Science and Technology Austria, 2026.
corr_author: '1'
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- _id: Bio
acknowledgement: "I want to acknowledge the Austrian Academy of Sciences for funding
through the DOC \r\nFellowship program (fellowship number 26422) and for the honest
and inspirational talk by \r\nAnton Zeilinger at the award ceremony about the PhD
journey. "
alternative_title:
- ISTA Thesis
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- first_name: Nathalie
full_name: Gruber, Nathalie
id: 2C9C8316-AA17-11E9-B5C2-8BC2E5697425
last_name: Gruber
citation:
ama: Gruber N. Genetic strategies enabling bacterial adaptation to selective pressures.
2026. doi:10.15479/AT-ISTA-22981
apa: Gruber, N. (2026). Genetic strategies enabling bacterial adaptation to selective
pressures. Institute of Science and Technology Austria. https://doi.org/10.15479/AT-ISTA-22981
chicago: Gruber, Nathalie. “Genetic Strategies Enabling Bacterial Adaptation to
Selective Pressures.” Institute of Science and Technology Austria, 2026. https://doi.org/10.15479/AT-ISTA-22981.
ieee: N. Gruber, “Genetic strategies enabling bacterial adaptation to selective
pressures,” Institute of Science and Technology Austria, 2026.
ista: Gruber N. 2026. Genetic strategies enabling bacterial adaptation to selective
pressures. Institute of Science and Technology Austria.
mla: Gruber, Nathalie. Genetic Strategies Enabling Bacterial Adaptation to Selective
Pressures. Institute of Science and Technology Austria, 2026, doi:10.15479/AT-ISTA-22981.
short: N. Gruber, Genetic Strategies Enabling Bacterial Adaptation to Selective
Pressures, Institute of Science and Technology Austria, 2026.
corr_author: '1'
date_created: 2026-09-23T12:25:43Z
date_published: 2026-09-24T00:00:00Z
date_updated: 2026-10-02T10:52:13Z
day: '24'
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month: '09'
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page: '102'
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grant_number: '26422'
name: Uncovering the organisational principle of bacterial genomic islands in Anti-phage
defense
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
title: Genetic strategies enabling bacterial adaptation to selective pressures
type: dissertation
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year: '2026'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '21743'
abstract:
- lang: eng
text: We present symplectic structures on the shape space of unparameterized space
curves that generalize the classical Marsden–Weinstein structure. Our method integrates
the Liouville 1-form of the Marsden–Weinstein structure with Riemannian structures
that have been introduced in mathematical shape analysis. We also derive Hamiltonian
vector fields for several classical Hamiltonian functions with respect to these
new symplectic structures.
acknowledgement: The authors are grateful to Boris Khesin for valuable comments on
the MW symplectic structure and S. Ishida thanks Albert Chern for insightful discussions
on space curves and Chris Wojtan for his continuous support. M. Bauer was partially
supported by NSF grant DMS-1953244 and by the Binational Science Foundation (BSF).
S. Ishida was partially supported by ERC Consolidator Grant 101045083 “CoDiNA” funded
by the European Research Council. Some figures were generated by the software Houdini
and its education license was provided by SideFX. Open access funding provided by
University of Vienna.
article_number: '45'
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Martin
full_name: Bauer, Martin
last_name: Bauer
- first_name: Sadashige
full_name: Ishida, Sadashige
id: 6F7C4B96-A8E9-11E9-A7CA-09ECE5697425
last_name: Ishida
orcid: 0000-0002-3121-3100
- first_name: Peter W.
full_name: Michor, Peter W.
last_name: Michor
citation:
ama: Bauer M, Ishida S, Michor PW. Symplectic structures on the space of space curves.
Journal of Nonlinear Science. 2026;36(2). doi:10.1007/s00332-026-10266-8
apa: Bauer, M., Ishida, S., & Michor, P. W. (2026). Symplectic structures on
the space of space curves. Journal of Nonlinear Science. Springer Nature.
https://doi.org/10.1007/s00332-026-10266-8
chicago: Bauer, Martin, Sadashige Ishida, and Peter W. Michor. “Symplectic Structures
on the Space of Space Curves.” Journal of Nonlinear Science. Springer Nature,
2026. https://doi.org/10.1007/s00332-026-10266-8.
ieee: M. Bauer, S. Ishida, and P. W. Michor, “Symplectic structures on the space
of space curves,” Journal of Nonlinear Science, vol. 36, no. 2. Springer
Nature, 2026.
ista: Bauer M, Ishida S, Michor PW. 2026. Symplectic structures on the space of
space curves. Journal of Nonlinear Science. 36(2), 45.
mla: Bauer, Martin, et al. “Symplectic Structures on the Space of Space Curves.”
Journal of Nonlinear Science, vol. 36, no. 2, 45, Springer Nature, 2026,
doi:10.1007/s00332-026-10266-8.
short: M. Bauer, S. Ishida, P.W. Michor, Journal of Nonlinear Science 36 (2026).
date_created: 2026-04-16T07:29:17Z
date_published: 2026-04-15T00:00:00Z
date_updated: 2026-10-02T11:16:45Z
day: '15'
ddc:
- '510'
department:
- _id: GradSch
- _id: ChWo
doi: 10.1007/s00332-026-10266-8
external_id:
arxiv:
- '2407.19908'
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issue: '2'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
project:
- _id: 34bc2376-11ca-11ed-8bc3-9a3b3961a088
grant_number: '101045083'
name: Computational Discovery of Numerical Algorithms for Animation and Simulation
of Natural Phenomena
publication: Journal of Nonlinear Science
publication_identifier:
eissn:
- 1432-1467
issn:
- 0938-8974
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
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relation: earlier_version
status: public
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status: public
title: Symplectic structures on the space of space curves
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...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '14703'
abstract:
- lang: eng
text: We present a discretization of the dynamic optimal transport problem for which
we can obtain the convergence rate for the value of the transport cost to its
continuous value when the temporal and spatial stepsize vanish. This convergence
result does not require any regularity assumption on the measures, though experiments
suggest that the rate is not sharp. Via an analysis of the duality gap we also
obtain the convergence rates for the gradient of the optimal potentials and the
velocity field under mild regularity assumptions. To obtain such rates we discretize
the dual formulation of the dynamic optimal transport problem and use the mature
literature related to the error due to discretizing the Hamilton-Jacobi equation.
acknowledgement: 'The authors would like to thank Chris Wojtan for his continuous
support and several interesting discussions. Part of this research was performed
during two visits: one of SI to the BIDSA research center at Bocconi University,
and one of HL to the Institute of Science and Technology Austria. Both host institutions
are warmly acknowledged for the hospitality. HL is partially supported by the MUR-Prin
2022-202244A7YL “Gradient Flows and Non-Smooth Geometric Structures with Applications
to Optimization and Machine Learning”, funded by the European Union - Next Generation
EU. SI is supported in part by ERC Consolidator Grant 101045083 “CoDiNA” funded
by the European Research Council. Open access funding provided by Institute of Science
and Technology (IST Austria).'
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Sadashige
full_name: Ishida, Sadashige
id: 6F7C4B96-A8E9-11E9-A7CA-09ECE5697425
last_name: Ishida
orcid: 0000-0002-3121-3100
- first_name: Hugo
full_name: Lavenant, Hugo
last_name: Lavenant
citation:
ama: Ishida S, Lavenant H. Quantitative convergence of a discretization of dynamic
optimal transport using the dual formulation. Foundations of Computational
Mathematics. 2026;26:349-384. doi:10.1007/s10208-024-09686-3
apa: Ishida, S., & Lavenant, H. (2026). Quantitative convergence of a discretization
of dynamic optimal transport using the dual formulation. Foundations of Computational
Mathematics. Springer Nature. https://doi.org/10.1007/s10208-024-09686-3
chicago: Ishida, Sadashige, and Hugo Lavenant. “Quantitative Convergence of a Discretization
of Dynamic Optimal Transport Using the Dual Formulation.” Foundations of Computational
Mathematics. Springer Nature, 2026. https://doi.org/10.1007/s10208-024-09686-3.
ieee: S. Ishida and H. Lavenant, “Quantitative convergence of a discretization of
dynamic optimal transport using the dual formulation,” Foundations of Computational
Mathematics, vol. 26. Springer Nature, pp. 349–384, 2026.
ista: Ishida S, Lavenant H. 2026. Quantitative convergence of a discretization of
dynamic optimal transport using the dual formulation. Foundations of Computational
Mathematics. 26, 349–384.
mla: Ishida, Sadashige, and Hugo Lavenant. “Quantitative Convergence of a Discretization
of Dynamic Optimal Transport Using the Dual Formulation.” Foundations of Computational
Mathematics, vol. 26, Springer Nature, 2026, pp. 349–84, doi:10.1007/s10208-024-09686-3.
short: S. Ishida, H. Lavenant, Foundations of Computational Mathematics 26 (2026)
349–384.
corr_author: '1'
das_tickbox: '0'
date_created: 2023-12-21T10:14:37Z
date_published: 2026-02-01T00:00:00Z
date_updated: 2026-10-02T11:17:26Z
day: '01'
ddc:
- '000'
department:
- _id: GradSch
- _id: ChWo
doi: 10.1007/s10208-024-09686-3
external_id:
arxiv:
- '2312.12213'
isi:
- '001352503300001'
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creator: dernst
date_created: 2026-07-23T05:37:52Z
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file_date_updated: 2026-07-23T05:37:52Z
fulldoi: https://doi.org/10.1007/s10208-024-09686-3
has_accepted_license: '1'
intvolume: ' 26'
isi: 1
keyword:
- Optimal transport
- Hamilton-Jacobi equation
- convex optimization
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: 349-384
project:
- _id: 34bc2376-11ca-11ed-8bc3-9a3b3961a088
grant_number: '101045083'
name: Computational Discovery of Numerical Algorithms for Animation and Simulation
of Natural Phenomena
publication: Foundations of Computational Mathematics
publication_identifier:
eissn:
- 1615-3383
issn:
- 1615-3375
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Quantitative convergence of a discretization of dynamic optimal transport using
the dual formulation
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name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
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type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
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...