---
OA_type: closed access
_id: '18266'
abstract:
- lang: eng
text: Matrix games are the most basic model in game theory, and yet robustness with
respect to small perturbations of the matrix entries is not fully understood.
In this paper, we introduce value positivity and uniform value positivity, two
properties that refine the notion of optimality in the context of polynomially
perturbed matrix games. The first concept captures how the value depends on the
perturbation parameter, and the second consists of the existence of a fixed strategy
that guarantees the value of the unperturbed matrix game for every sufficiently
small positive parameter. We provide polynomial-time algorithms to check whether
a polynomially perturbed matrix game satisfies these properties. We further provide
the functional form for a parameterized optimal strategy and the value function.
Finally, we translate our results to linear programming and stochastic games,
where value positivity is related to the existence of robust solutions.
acknowledgement: This research was supported by Fondation CFM pour la Recherche, the
H2020 European Research Council [Grant ERC-CoG-863818 (ForM-SMArt)], the Austrian
Science Fund [Grant 10.55776/COE12], ANID Chile [Grant ACT210005], and Agence Nationale
de la Recherche [Grant ANR-21-CE40-0020].
article_processing_charge: No
article_type: original
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Miquel
full_name: Oliu-Barton, Miquel
last_name: Oliu-Barton
- first_name: Raimundo J
full_name: Saona Urmeneta, Raimundo J
id: BD1DF4C4-D767-11E9-B658-BC13E6697425
last_name: Saona Urmeneta
orcid: 0000-0001-5103-038X
citation:
ama: Chatterjee K, Oliu-Barton M, Saona Urmeneta RJ. Value-positivity for matrix
games. Mathematics of Operations Research. 2024;50(4):2433-3282. doi:10.1287/moor.2022.0332
apa: Chatterjee, K., Oliu-Barton, M., & Saona Urmeneta, R. J. (2024). Value-positivity
for matrix games. Mathematics of Operations Research. Institute for Operations
Research and the Management Sciences. https://doi.org/10.1287/moor.2022.0332
chicago: Chatterjee, Krishnendu, Miquel Oliu-Barton, and Raimundo J Saona Urmeneta.
“Value-Positivity for Matrix Games.” Mathematics of Operations Research.
Institute for Operations Research and the Management Sciences, 2024. https://doi.org/10.1287/moor.2022.0332.
ieee: K. Chatterjee, M. Oliu-Barton, and R. J. Saona Urmeneta, “Value-positivity
for matrix games,” Mathematics of Operations Research, vol. 50, no. 4.
Institute for Operations Research and the Management Sciences, pp. 2433–3282,
2024.
ista: Chatterjee K, Oliu-Barton M, Saona Urmeneta RJ. 2024. Value-positivity for
matrix games. Mathematics of Operations Research. 50(4), 2433–3282.
mla: Chatterjee, Krishnendu, et al. “Value-Positivity for Matrix Games.” Mathematics
of Operations Research, vol. 50, no. 4, Institute for Operations Research
and the Management Sciences, 2024, pp. 2433–3282, doi:10.1287/moor.2022.0332.
short: K. Chatterjee, M. Oliu-Barton, R.J. Saona Urmeneta, Mathematics of Operations
Research 50 (2024) 2433–3282.
corr_author: '1'
date_created: 2024-10-09T07:02:20Z
date_published: 2024-10-01T00:00:00Z
date_updated: 2026-07-29T13:14:36Z
day: '01'
department:
- _id: GradSch
- _id: KrCh
doi: 10.1287/moor.2022.0332
ec_funded: 1
external_id:
isi:
- '001328875900001'
intvolume: ' 50'
isi: 1
issue: '4'
language:
- iso: eng
month: '10'
oa_version: None
page: 2433-3282
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: Mathematics of Operations Research
publication_identifier:
eissn:
- 1526-5471
issn:
- 0364-765X
publication_status: published
publisher: Institute for Operations Research and the Management Sciences
quality_controlled: '1'
related_material:
record:
- id: '20234'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Value-positivity for matrix games
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 50
year: '2024'
...
---
OA_place: repository
_id: '19545'
abstract:
- lang: eng
text: "We prove the Eigenstate Thermalisation Hypothesis for Wigner matrices\r\nuniformly
in the entire spectrum, in particular near the spectral edges, with a\r\nbound
on the fluctuation that is optimal for any observable. This complements\r\nearlier
works of Cipolloni et. al. (Comm. Math. Phys. 388, 2021; Forum Math.,\r\nSigma
10, 2022) and Benigni et. al. (Comm. Math. Phys. 391, 2022; arXiv:\r\n2303.11142)
that were restricted either to the bulk of the spectrum or to\r\nspecial observables.
As a main ingredient, we prove a new multi-resolvent local\r\nlaw that optimally
accounts for the edge scaling."
acknowledgement: Supported by ERC Advanced Grant “RMTBeyond” No. 101020331.
article_processing_charge: No
arxiv: 1
author:
- first_name: Giorgio
full_name: Cipolloni, Giorgio
id: 42198EFA-F248-11E8-B48F-1D18A9856A87
last_name: Cipolloni
orcid: 0000-0002-4901-7992
- first_name: László
full_name: Erdös, László
id: 4DBD5372-F248-11E8-B48F-1D18A9856A87
last_name: Erdös
orcid: 0000-0001-5366-9603
- first_name: Sven Joscha
full_name: Henheik, Sven Joscha
id: 31d731d7-d235-11ea-ad11-b50331c8d7fb
last_name: Henheik
orcid: 0000-0003-1106-327X
citation:
ama: Cipolloni G, Erdös L, Henheik SJ. Eigenstate thermalisation at the edge for
Wigner matrices. arXiv. doi:10.48550/arXiv.2309.05488
apa: Cipolloni, G., Erdös, L., & Henheik, S. J. (n.d.). Eigenstate thermalisation
at the edge for Wigner matrices. arXiv. https://doi.org/10.48550/arXiv.2309.05488
chicago: Cipolloni, Giorgio, László Erdös, and Sven Joscha Henheik. “Eigenstate
Thermalisation at the Edge for Wigner Matrices.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2309.05488.
ieee: G. Cipolloni, L. Erdös, and S. J. Henheik, “Eigenstate thermalisation at the
edge for Wigner matrices,” arXiv. .
ista: Cipolloni G, Erdös L, Henheik SJ. Eigenstate thermalisation at the edge for
Wigner matrices. arXiv, 10.48550/arXiv.2309.05488.
mla: Cipolloni, Giorgio, et al. “Eigenstate Thermalisation at the Edge for Wigner
Matrices.” ArXiv, doi:10.48550/arXiv.2309.05488.
short: G. Cipolloni, L. Erdös, S.J. Henheik, ArXiv (n.d.).
corr_author: '1'
date_created: 2025-04-11T08:19:22Z
date_published: 2024-12-17T00:00:00Z
date_updated: 2026-07-29T13:18:16Z
day: '17'
department:
- _id: LaEr
doi: 10.48550/arXiv.2309.05488
ec_funded: 1
external_id:
arxiv:
- '2309.05488'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2309.05488
month: '12'
oa: 1
oa_version: Preprint
project:
- _id: 62796744-2b32-11ec-9570-940b20777f1d
call_identifier: H2020
grant_number: '101020331'
name: Random matrices beyond Wigner-Dyson-Mehta
publication: arXiv
publication_status: draft
related_material:
record:
- id: '19540'
relation: dissertation_contains
status: public
status: public
title: Eigenstate thermalisation at the edge for Wigner matrices
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: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2024'
...
---
OA_place: repository
_id: '19550'
abstract:
- lang: eng
text: "We introduce a multi-band BCS free energy functional and prove that for a\r\nmulti-band
superconductor the effect of inter-band coupling can only increase\r\nthe critical
temperature, irrespective of its attractive or repulsive nature\r\nand its strength.
Further, for weak coupling and weaker inter-band coupling, we\r\nprove that the
dependence of the increase in critical temperature on the\r\ninter-band coupling
is (1) linear, if there are two or more equally strongly\r\nsuperconducting bands,
or (2) quadratic, if there is only one dominating band."
article_processing_charge: No
arxiv: 1
author:
- first_name: Sven Joscha
full_name: Henheik, Sven Joscha
id: 31d731d7-d235-11ea-ad11-b50331c8d7fb
last_name: Henheik
orcid: 0000-0003-1106-327X
- first_name: Edwin
full_name: Langmann, Edwin
last_name: Langmann
- first_name: Asbjørn Bækgaard
full_name: Lauritsen, Asbjørn Bækgaard
id: e1a2682f-dc8d-11ea-abe3-81da9ac728f1
last_name: Lauritsen
orcid: 0000-0003-4476-2288
citation:
ama: Henheik SJ, Langmann E, Lauritsen AB. Multi-band superconductors have enhanced
critical temperatures. arXiv. doi:10.48550/arXiv.2409.17297
apa: Henheik, S. J., Langmann, E., & Lauritsen, A. B. (n.d.). Multi-band superconductors
have enhanced critical temperatures. arXiv. https://doi.org/10.48550/arXiv.2409.17297
chicago: Henheik, Sven Joscha, Edwin Langmann, and Asbjørn Bækgaard Lauritsen. “Multi-Band
Superconductors Have Enhanced Critical Temperatures.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2409.17297.
ieee: S. J. Henheik, E. Langmann, and A. B. Lauritsen, “Multi-band superconductors
have enhanced critical temperatures,” arXiv. .
ista: Henheik SJ, Langmann E, Lauritsen AB. Multi-band superconductors have enhanced
critical temperatures. arXiv, 10.48550/arXiv.2409.17297.
mla: Henheik, Sven Joscha, et al. “Multi-Band Superconductors Have Enhanced Critical
Temperatures.” ArXiv, doi:10.48550/arXiv.2409.17297.
short: S.J. Henheik, E. Langmann, A.B. Lauritsen, ArXiv (n.d.).
corr_author: '1'
date_created: 2025-04-11T11:43:58Z
date_published: 2024-10-21T00:00:00Z
date_updated: 2026-07-29T13:18:16Z
day: '21'
department:
- _id: LaEr
- _id: RoSe
doi: 10.48550/arXiv.2409.17297
external_id:
arxiv:
- '2409.17297'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2409.17297
month: '10'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: draft
related_material:
record:
- id: '22290'
relation: later_version
status: public
- id: '19540'
relation: dissertation_contains
status: public
status: public
title: Multi-band superconductors have enhanced critical temperatures
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: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '17049'
abstract:
- lang: eng
text: We consider large non-Hermitian NxN matrices with an additive independent,
identically distributed (i.i.d.) noise for each matrix elements. We show that
already a small noise of variance 1/N completely thermalises the bulk singular
vectors, in particular they satisfy the strong form of Quantum Unique Ergodicity
(QUE) with an optimal speed of convergence. In physics terms, we thus extend the
Eigenstate Thermalisation Hypothesis, formulated originally by Deutsch [34] and
proven for Wigner matrices in [23], to arbitrary non-Hermitian matrices with an
i.i.d. noise. As a consequence we obtain an optimal lower bound on the diagonal
overlaps of the corresponding non-Hermitian eigenvectors. This quantity, also
known as the (square of the) eigenvalue condition number measuring the sensitivity
of the eigenvalue to small perturbations, has notoriously escaped rigorous treatment
beyond the explicitly computable Ginibre ensemble apart from the very recent upper
bounds given in [7] and [45]. As a key tool, we develop a new systematic decomposition
of general observables in random matrix theory that governs the size of products
of resolvents with deterministic matrices in between.
acknowledgement: "Supported by ERC Advanced Grant “RMTBeyond” No. 101020331.\r\nSupported
by the SNSF Ambizione Grant PZ00P2_209089."
article_number: '110495'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Giorgio
full_name: Cipolloni, Giorgio
id: 42198EFA-F248-11E8-B48F-1D18A9856A87
last_name: Cipolloni
orcid: 0000-0002-4901-7992
- first_name: László
full_name: Erdös, László
id: 4DBD5372-F248-11E8-B48F-1D18A9856A87
last_name: Erdös
orcid: 0000-0001-5366-9603
- first_name: Sven Joscha
full_name: Henheik, Sven Joscha
id: 31d731d7-d235-11ea-ad11-b50331c8d7fb
last_name: Henheik
orcid: 0000-0003-1106-327X
- first_name: Dominik J
full_name: Schröder, Dominik J
id: 408ED176-F248-11E8-B48F-1D18A9856A87
last_name: Schröder
orcid: 0000-0002-2904-1856
citation:
ama: Cipolloni G, Erdös L, Henheik SJ, Schröder DJ. Optimal lower bound on eigenvector
overlaps for non-Hermitian random matrices. Journal of Functional Analysis.
2024;287(4). doi:10.1016/j.jfa.2024.110495
apa: Cipolloni, G., Erdös, L., Henheik, S. J., & Schröder, D. J. (2024). Optimal
lower bound on eigenvector overlaps for non-Hermitian random matrices. Journal
of Functional Analysis. Elsevier. https://doi.org/10.1016/j.jfa.2024.110495
chicago: Cipolloni, Giorgio, László Erdös, Sven Joscha Henheik, and Dominik J Schröder.
“Optimal Lower Bound on Eigenvector Overlaps for Non-Hermitian Random Matrices.”
Journal of Functional Analysis. Elsevier, 2024. https://doi.org/10.1016/j.jfa.2024.110495.
ieee: G. Cipolloni, L. Erdös, S. J. Henheik, and D. J. Schröder, “Optimal lower
bound on eigenvector overlaps for non-Hermitian random matrices,” Journal of
Functional Analysis, vol. 287, no. 4. Elsevier, 2024.
ista: Cipolloni G, Erdös L, Henheik SJ, Schröder DJ. 2024. Optimal lower bound on
eigenvector overlaps for non-Hermitian random matrices. Journal of Functional
Analysis. 287(4), 110495.
mla: Cipolloni, Giorgio, et al. “Optimal Lower Bound on Eigenvector Overlaps for
Non-Hermitian Random Matrices.” Journal of Functional Analysis, vol. 287,
no. 4, 110495, Elsevier, 2024, doi:10.1016/j.jfa.2024.110495.
short: G. Cipolloni, L. Erdös, S.J. Henheik, D.J. Schröder, Journal of Functional
Analysis 287 (2024).
corr_author: '1'
date_created: 2024-05-26T22:00:57Z
date_published: 2024-08-15T00:00:00Z
date_updated: 2026-07-29T13:18:17Z
day: '15'
ddc:
- '510'
department:
- _id: LaEr
doi: 10.1016/j.jfa.2024.110495
ec_funded: 1
external_id:
isi:
- '001325502400001'
file:
- access_level: open_access
checksum: 07d3f73e0c56e68eb110851842c22ee0
content_type: application/pdf
creator: dernst
date_created: 2025-06-24T13:14:21Z
date_updated: 2025-06-24T13:14:21Z
file_id: '19891'
file_name: 2025_JourFunctionalAnalysis_Cipolloni.pdf
file_size: 1374854
relation: main_file
success: 1
file_date_updated: 2025-06-24T13:14:21Z
has_accepted_license: '1'
intvolume: ' 287'
isi: 1
issue: '4'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 62796744-2b32-11ec-9570-940b20777f1d
call_identifier: H2020
grant_number: '101020331'
name: Random matrices beyond Wigner-Dyson-Mehta
publication: Journal of Functional Analysis
publication_identifier:
eissn:
- 1096-0783
issn:
- 0022-1236
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
record:
- id: '19540'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Optimal lower bound on eigenvector overlaps for non-Hermitian random matrices
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 287
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '14542'
abstract:
- lang: eng
text: "It is a remarkable property of BCS theory that the ratio of the energy gap
at zero temperature Ξ\r\n and the critical temperature Tc is (approximately) given
by a universal constant, independent of the microscopic details of the fermionic
interaction. This universality has rigorously been proven quite recently in three
spatial dimensions and three different limiting regimes: weak coupling, low density
and high density. The goal of this short note is to extend the universal behavior
to lower dimensions d=1,2 and give an exemplary proof in the weak coupling limit."
acknowledgement: We thank Robert Seiringer for comments on the paper. J. H. gratefully
acknowledges partial financial support by the ERC Advanced Grant “RMTBeyond”No.
101020331.This research was funded in part by the Austrian Science Fund (FWF) grantnumber
I6427.
article_number: '2360005 '
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: Sven Joscha
full_name: Henheik, Sven Joscha
id: 31d731d7-d235-11ea-ad11-b50331c8d7fb
last_name: Henheik
orcid: 0000-0003-1106-327X
- first_name: Asbjørn Bækgaard
full_name: Lauritsen, Asbjørn Bækgaard
id: e1a2682f-dc8d-11ea-abe3-81da9ac728f1
last_name: Lauritsen
orcid: 0000-0003-4476-2288
- first_name: Barbara
full_name: Roos, Barbara
id: 5DA90512-D80F-11E9-8994-2E2EE6697425
last_name: Roos
orcid: 0000-0002-9071-5880
citation:
ama: Henheik SJ, Lauritsen AB, Roos B. Universality in low-dimensional BCS theory.
Reviews in Mathematical Physics. 2024;36(9). doi:10.1142/s0129055x2360005x
apa: Henheik, S. J., Lauritsen, A. B., & Roos, B. (2024). Universality in low-dimensional
BCS theory. Reviews in Mathematical Physics. World Scientific Publishing.
https://doi.org/10.1142/s0129055x2360005x
chicago: Henheik, Sven Joscha, Asbjørn Bækgaard Lauritsen, and Barbara Roos. “Universality
in Low-Dimensional BCS Theory.” Reviews in Mathematical Physics. World
Scientific Publishing, 2024. https://doi.org/10.1142/s0129055x2360005x.
ieee: S. J. Henheik, A. B. Lauritsen, and B. Roos, “Universality in low-dimensional
BCS theory,” Reviews in Mathematical Physics, vol. 36, no. 9. World Scientific
Publishing, 2024.
ista: Henheik SJ, Lauritsen AB, Roos B. 2024. Universality in low-dimensional BCS
theory. Reviews in Mathematical Physics. 36(9), 2360005.
mla: Henheik, Sven Joscha, et al. “Universality in Low-Dimensional BCS Theory.”
Reviews in Mathematical Physics, vol. 36, no. 9, 2360005, World Scientific
Publishing, 2024, doi:10.1142/s0129055x2360005x.
short: S.J. Henheik, A.B. Lauritsen, B. Roos, Reviews in Mathematical Physics 36
(2024).
corr_author: '1'
date_created: 2023-11-15T23:48:14Z
date_published: 2024-10-01T00:00:00Z
date_updated: 2026-07-29T13:18:16Z
day: '01'
ddc:
- '510'
department:
- _id: GradSch
- _id: LaEr
- _id: RoSe
doi: 10.1142/s0129055x2360005x
ec_funded: 1
external_id:
arxiv:
- '2301.05621'
isi:
- '001099640300002'
file:
- access_level: open_access
checksum: 2b053a4223b4db14b90520999ec56054
content_type: application/pdf
creator: dernst
date_created: 2025-01-09T07:56:28Z
date_updated: 2025-01-09T07:56:28Z
file_id: '18786'
file_name: 2024_ReviewsmathPhysics_Henheik.pdf
file_size: 503910
relation: main_file
success: 1
file_date_updated: 2025-01-09T07:56:28Z
has_accepted_license: '1'
intvolume: ' 36'
isi: 1
issue: '9'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: 62796744-2b32-11ec-9570-940b20777f1d
call_identifier: H2020
grant_number: '101020331'
name: Random matrices beyond Wigner-Dyson-Mehta
- _id: bda63fe5-d553-11ed-ba76-a16e3d2f256b
grant_number: I06427
name: Mathematical Challenges in BCS Theory of Superconductivity
publication: Reviews in Mathematical Physics
publication_identifier:
eissn:
- 1793-6659
issn:
- 0129-055X
publication_status: published
publisher: World Scientific Publishing
quality_controlled: '1'
related_material:
record:
- id: '18135'
relation: dissertation_contains
status: public
- id: '19540'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Universality in low-dimensional BCS theory
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: 36
year: '2024'
...
---
OA_place: repository
OA_type: green
_id: '18656'
abstract:
- lang: eng
text: "We consider the time evolution of the out-of-time-ordered correlator (OTOC)
of two general observables \r\n and \r\n in a mean field chaotic quantum system
described by a random Wigner matrix as its Hamiltonian. We rigorously identify
three time regimes separated by the physically relevant scrambling and relaxation
times. The main feature of our analysis is that we express the error terms in
the optimal Schatten (tracial) norms of the observables, allowing us to track
the exact dependence of the errors on their rank. In particular, for significantly
overlapping observables with low rank the OTOC is shown to exhibit a significant
local maximum at the scrambling time, a feature that may not have been noticed
in the physics literature before. Our main tool is a novel multi-resolvent local
law with Schatten norms that unifies and improves previous local laws involving
either the much cruder operator norm (cf. [10]) or the Hilbert-Schmidt norm (cf.
[11])."
acknowledgement: LE and JH were supported by the ERC Advanced Grant łRMTBeyondž No.
101020331
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Giorgio
full_name: Cipolloni, Giorgio
id: 42198EFA-F248-11E8-B48F-1D18A9856A87
last_name: Cipolloni
orcid: 0000-0002-4901-7992
- first_name: László
full_name: Erdös, László
id: 4DBD5372-F248-11E8-B48F-1D18A9856A87
last_name: Erdös
orcid: 0000-0001-5366-9603
- first_name: Sven Joscha
full_name: Henheik, Sven Joscha
id: 31d731d7-d235-11ea-ad11-b50331c8d7fb
last_name: Henheik
orcid: 0000-0003-1106-327X
citation:
ama: Cipolloni G, Erdös L, Henheik SJ. Out-of-time-ordered correlators for Wigner
matrices. Advances in Theoretical and Mathematical Physics. 2024;28(6):2025-2083.
doi:10.4310/ATMP.241031013250
apa: Cipolloni, G., Erdös, L., & Henheik, S. J. (2024). Out-of-time-ordered
correlators for Wigner matrices. Advances in Theoretical and Mathematical Physics.
International Press of Boston. https://doi.org/10.4310/ATMP.241031013250
chicago: Cipolloni, Giorgio, László Erdös, and Sven Joscha Henheik. “Out-of-Time-Ordered
Correlators for Wigner Matrices.” Advances in Theoretical and Mathematical
Physics. International Press of Boston, 2024. https://doi.org/10.4310/ATMP.241031013250.
ieee: G. Cipolloni, L. Erdös, and S. J. Henheik, “Out-of-time-ordered correlators
for Wigner matrices,” Advances in Theoretical and Mathematical Physics,
vol. 28, no. 6. International Press of Boston, pp. 2025–2083, 2024.
ista: Cipolloni G, Erdös L, Henheik SJ. 2024. Out-of-time-ordered correlators for
Wigner matrices. Advances in Theoretical and Mathematical Physics. 28(6), 2025–2083.
mla: Cipolloni, Giorgio, et al. “Out-of-Time-Ordered Correlators for Wigner Matrices.”
Advances in Theoretical and Mathematical Physics, vol. 28, no. 6, International
Press of Boston, 2024, pp. 2025–83, doi:10.4310/ATMP.241031013250.
short: G. Cipolloni, L. Erdös, S.J. Henheik, Advances in Theoretical and Mathematical
Physics 28 (2024) 2025–2083.
corr_author: '1'
das_tickbox: '1'
date_created: 2024-12-15T23:01:51Z
date_published: 2024-10-30T00:00:00Z
date_updated: 2026-07-29T13:18:17Z
day: '30'
department:
- _id: LaEr
doi: 10.4310/ATMP.241031013250
ec_funded: 1
external_id:
arxiv:
- '2402.17609'
intvolume: ' 28'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2402.17609
month: '10'
oa: 1
oa_version: Preprint
page: 2025-2083
project:
- _id: 62796744-2b32-11ec-9570-940b20777f1d
call_identifier: H2020
grant_number: '101020331'
name: Random matrices beyond Wigner-Dyson-Mehta
publication: Advances in Theoretical and Mathematical Physics
publication_identifier:
eissn:
- 1095-0753
issn:
- 1095-0761
publication_status: published
publisher: International Press of Boston
quality_controlled: '1'
related_material:
record:
- id: '19540'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Out-of-time-ordered correlators for Wigner matrices
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 28
year: '2024'
...
---
OA_place: repository
_id: '19547'
abstract:
- lang: eng
text: "For correlated real symmetric or complex Hermitian random matrices, we prove\r\nthat
the local eigenvalue statistics at any cusp singularity are universal.\r\nSince
the density of states typically exhibits only square root edge or cubic\r\nroot
cusp singularities, our result completes the proof of the\r\nWigner-Dyson-Mehta
universality conjecture in all spectral regimes for a very\r\ngeneral class of
random matrices. Previously only the bulk and the edge\r\nuniversality were established
in this generality [arXiv:1804.07744], while cusp\r\nuniversality was proven only
for Wigner-type matrices with independent entries\r\n[arXiv:1809.03971, arXiv:1811.04055].
As our main technical input, we prove an\r\noptimal local law at the cusp using
the Zigzag strategy, a recursive tandem of\r\nthe characteristic flow method and
a Green function comparison argument.\r\nMoreover, our proof of the optimal local
law holds uniformly in the spectrum,\r\nthus also re-establishing universality
of the local eigenvalue statistics in\r\nthe previously studied bulk [arXiv:1705.10661]
and edge [arXiv:1804.07744]\r\nregimes."
acknowledgement: "Supported by the ERC Advanced Grant \"RMTBeyond\"\r\nNo. 101020331."
article_processing_charge: No
arxiv: 1
author:
- first_name: László
full_name: Erdös, László
id: 4DBD5372-F248-11E8-B48F-1D18A9856A87
last_name: Erdös
orcid: 0000-0001-5366-9603
- first_name: Sven Joscha
full_name: Henheik, Sven Joscha
id: 31d731d7-d235-11ea-ad11-b50331c8d7fb
last_name: Henheik
orcid: 0000-0003-1106-327X
- first_name: Volodymyr
full_name: Riabov, Volodymyr
id: 1949f904-edfb-11eb-afb5-e2dfddabb93b
last_name: Riabov
citation:
ama: Erdös L, Henheik SJ, Riabov V. Cusp universality for correlated random matrices.
arXiv. doi:10.48550/arXiv.2410.06813
apa: Erdös, L., Henheik, S. J., & Riabov, V. (n.d.). Cusp universality for correlated
random matrices. arXiv. https://doi.org/10.48550/arXiv.2410.06813
chicago: Erdös, László, Sven Joscha Henheik, and Volodymyr Riabov. “Cusp Universality
for Correlated Random Matrices.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2410.06813.
ieee: L. Erdös, S. J. Henheik, and V. Riabov, “Cusp universality for correlated
random matrices,” arXiv. .
ista: Erdös L, Henheik SJ, Riabov V. Cusp universality for correlated random matrices.
arXiv, 10.48550/arXiv.2410.06813.
mla: Erdös, László, et al. “Cusp Universality for Correlated Random Matrices.” ArXiv,
doi:10.48550/arXiv.2410.06813.
short: L. Erdös, S.J. Henheik, V. Riabov, ArXiv (n.d.).
corr_author: '1'
date_created: 2025-04-11T08:48:21Z
date_published: 2024-11-03T00:00:00Z
date_updated: 2026-07-29T13:18:17Z
day: '03'
department:
- _id: LaEr
doi: 10.48550/arXiv.2410.06813
ec_funded: 1
external_id:
arxiv:
- '2410.06813'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2410.06813
month: '11'
oa: 1
oa_version: Preprint
project:
- _id: 62796744-2b32-11ec-9570-940b20777f1d
call_identifier: H2020
grant_number: '101020331'
name: Random matrices beyond Wigner-Dyson-Mehta
publication: arXiv
publication_status: draft
related_material:
record:
- id: '20322'
relation: later_version
status: public
- id: '20575'
relation: dissertation_contains
status: public
- id: '19540'
relation: dissertation_contains
status: public
status: public
title: Cusp universality for correlated random matrices
type: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2024'
...
---
OA_place: repository
_id: '19551'
abstract:
- lang: eng
text: "We introduce a notion of a \\emph{local gap} for interacting many-body quantum
lattice systems and prove the validity of response theory and Kubo's formula for
localized perturbations in such settings.\r\nOn a high level, our result shows
that the usual spectral gap condition, concerning the system as a whole, is not
a necessary condition for understanding local properties of the system.\r\nMore
precisely, we say that an equilibrium state ρ0 of a Hamiltonian H0 is locally
gapped in Λgap⊂Λ, whenever the Liouvillian −i[H0,⋅] is almost invertible on local
observables supported in Λgap when tested in ρ0.\r\nTo put this into context,
we provide other alternative notions of a local gap and discuss their relations.\r\nThe
validity of response theory is based on the construction of \\emph{non-equilibrium
almost stationary states} (NEASSs).\r\nBy controlling locality properties of the
NEASS construction, we show that response theory holds to any order, whenever
the perturbation \\(\\epsilon V\\) acts in a region which is further than |logϵ|
away from the non-gapped region Λ∖Λgap."
article_processing_charge: No
arxiv: 1
author:
- first_name: Sven Joscha
full_name: Henheik, Sven Joscha
id: 31d731d7-d235-11ea-ad11-b50331c8d7fb
last_name: Henheik
orcid: 0000-0003-1106-327X
- first_name: Tom
full_name: Wessel, Tom
last_name: Wessel
citation:
ama: Henheik SJ, Wessel T. Response theory for locally gapped systems. arXiv.
doi:10.48550/arXiv.2410.10809
apa: Henheik, S. J., & Wessel, T. (n.d.). Response theory for locally gapped
systems. arXiv. https://doi.org/10.48550/arXiv.2410.10809
chicago: Henheik, Sven Joscha, and Tom Wessel. “Response Theory for Locally Gapped
Systems.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2410.10809.
ieee: S. J. Henheik and T. Wessel, “Response theory for locally gapped systems,”
arXiv. .
ista: Henheik SJ, Wessel T. Response theory for locally gapped systems. arXiv, 10.48550/arXiv.2410.10809.
mla: Henheik, Sven Joscha, and Tom Wessel. “Response Theory for Locally Gapped Systems.”
ArXiv, doi:10.48550/arXiv.2410.10809.
short: S.J. Henheik, T. Wessel, ArXiv (n.d.).
corr_author: '1'
date_created: 2025-04-11T11:54:56Z
date_published: 2024-10-14T00:00:00Z
date_updated: 2026-07-29T13:18:16Z
day: '14'
department:
- _id: LaEr
doi: 10.48550/arXiv.2410.10809
external_id:
arxiv:
- '2410.10809'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2410.10809
month: '10'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: draft
related_material:
record:
- id: '19540'
relation: dissertation_contains
status: public
status: public
title: Response theory for locally gapped systems
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: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2024'
...
---
OA_place: publisher
_id: '17485'
abstract:
- lang: eng
text: "Large language models (LLMs) have made tremendous progress in the past few
years, from being able to generate coherent text to matching or surpassing humans
in a wide variety of creative, knowledge or reasoning tasks. Much of this can
be attributed to massively increased scale, both in the size of the model as well
as the amount of training data, from 100s of millions to 100s of billions, or
even trillions. This trend is expected to continue, which, although exciting,
also raises major practical concerns. Already today's 100+ billion parameter LLMs
require top-of-the-line hardware just to run. Hence, it is clear that sustaining
these developments will require significant efficiency advances.\r\n\r\nHistorically,
one of the most practical ways of improving model efficiency has been compression,
especially in the form of sparsity or quantization. While this has been studied
extensively in the past, existing accurate methods are all designed for models
around 100 million parameters; scaling them up to ones literally 1000x larger
is highly challenging. In this thesis, we introduce a new unified sparsification
and quantization approach OBC, which through additional algorithmic enhancements
leads to GPTQ and SparseGPT, the first techniques fast and accurate enough to
compress 100+ billion parameter models to 4- or even 3-bit precision and 50% weight-sparsity,
respectively. Additionally, we show how weight-only quantizion does not just bring
space savings but also up to 4.5x faster generation speed, via custom GPU kernels.\r\n\r\nIn
fact, we show for the first time that it is possible to develop an FP16 times
INT4 mixed-precision matrix multiplication kernel, called Marlin, which comes
close to simultaneously maximizing both memory and compute utilization, making
weight-only quantization highly practical even for multi-user serving. Further,
we demonstrate that GPTQ can be scaled to widely overparametrized trillion-parameter
models, where extreme sub-1-bit compression rates can be achieved without any
inference slow-down, by co-designing a bespoke entropy coding scheme together
with an efficient kernel.\r\n\r\nFinally, we also study compression from the perspective
of someone with access to massive amounts of compute resources for training large
models completely from scratch. Here the key questions evolve around the joint
scaling behavior between compression, model size, and amount of training data
used. Based on extensive experimental results for both vision and text models,
we introduce the first scaling law which accurately captures the relationship
between weight-sparsity, number of non-zero weights and data. This further allows
us to characterize the optimal sparsity, which we find to increase the longer
a fixed cost model is being trained.\r\n\r\nOverall, this thesis presents contributions
to three different angles of large model efficiency: affordable but accurate algorithms,
highly efficient systems implementations, and fundamental scaling laws for compressed
training."
acknowledged_ssus:
- _id: ScienComp
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Elias
full_name: Frantar, Elias
id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f
last_name: Frantar
citation:
ama: 'Frantar E. Compressing large neural networks: Algorithms, systems and scaling
laws. 2024. doi:10.15479/at:ista:17485'
apa: 'Frantar, E. (2024). Compressing large neural networks: Algorithms, systems
and scaling laws. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:17485'
chicago: 'Frantar, Elias. “Compressing Large Neural Networks: Algorithms, Systems
and Scaling Laws.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:17485.'
ieee: 'E. Frantar, “Compressing large neural networks: Algorithms, systems and scaling
laws,” Institute of Science and Technology Austria, 2024.'
ista: 'Frantar E. 2024. Compressing large neural networks: Algorithms, systems and
scaling laws. Institute of Science and Technology Austria.'
mla: 'Frantar, Elias. Compressing Large Neural Networks: Algorithms, Systems
and Scaling Laws. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:17485.'
short: 'E. Frantar, Compressing Large Neural Networks: Algorithms, Systems and Scaling
Laws, Institute of Science and Technology Austria, 2024.'
corr_author: '1'
date_created: 2024-09-02T11:01:48Z
date_published: 2024-09-05T00:00:00Z
date_updated: 2026-07-29T13:48:40Z
day: '05'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: GradSch
- _id: DaAl
doi: 10.15479/at:ista:17485
doi_confirm: '1'
ec_funded: 1
file:
- access_level: closed
checksum: 5d785645805a78c5b4ce7cc3df557b09
content_type: application/zip
creator: efrantar
date_created: 2024-09-05T12:04:11Z
date_updated: 2024-09-05T12:04:11Z
file_id: '17570'
file_name: thesis-final.zip
file_size: 1615167
relation: source_file
- access_level: open_access
checksum: a9dd1c2d23734986924eb44ebb55fd8f
content_type: application/pdf
creator: efrantar
date_created: 2024-09-06T16:24:59Z
date_updated: 2024-09-06T16:24:59Z
file_id: '17880'
file_name: frantar_thesis_final.pdf
file_size: 2376611
relation: main_file
success: 1
file_date_updated: 2024-09-06T16:24:59Z
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '129'
project:
- _id: 268A44D6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '805223'
name: Elastic Coordination for Scalable Machine Learning
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '17378'
relation: part_of_dissertation
status: public
- id: '17087'
relation: part_of_dissertation
status: public
- id: '14458'
relation: part_of_dissertation
status: public
- id: '18062'
relation: part_of_dissertation
status: public
- id: '18061'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
title: 'Compressing large neural networks: Algorithms, systems and scaling laws'
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2024'
...
---
_id: '18062'
abstract:
- lang: eng
text: 'We explore the impact of parameter sparsity on the scaling behavior of Transformers
trained on massive datasets (i.e., "foundation models"), in both vision and language
domains. In this setting, we identify the first scaling law describing the relationship
between weight sparsity, number of non-zero parameters, and amount of training
data, which we validate empirically across model and data scales; on ViT/JFT-4B
and T5/C4. These results allow us to characterize the "optimal sparsity", the
sparsity level which yields the best performance for a given effective model size
and training budget. For a fixed number of non-zero parameters, we identify that
the optimal sparsity increases with the amount of data used for training. We also
extend our study to different sparsity structures (such as the hardware-friendly
n:m pattern) and strategies (such as starting from a pretrained dense model).
Our findings shed light on the power and limitations of weight sparsity across
various parameter and computational settings, offering both theoretical understanding
and practical implications for leveraging sparsity towards computational efficiency
improvements. We provide pruning and scaling law fitting code at: github.com/google-research/jaxpruner/tree/main/jaxpruner/projects/bigsparse.'
article_processing_charge: No
arxiv: 1
author:
- first_name: Elias
full_name: Frantar, Elias
id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f
last_name: Frantar
- first_name: Carlos Riquelme
full_name: Ruiz, Carlos Riquelme
last_name: Ruiz
- first_name: Neil
full_name: Houlsby, Neil
last_name: Houlsby
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
- first_name: Utku
full_name: Evci, Utku
last_name: Evci
citation:
ama: 'Frantar E, Ruiz CR, Houlsby N, Alistarh D-A, Evci U. Scaling laws for sparsely-connected
foundation models. In: The Twelfth International Conference on Learning Representations.
; 2024.'
apa: Frantar, E., Ruiz, C. R., Houlsby, N., Alistarh, D.-A., & Evci, U. (2024).
Scaling laws for sparsely-connected foundation models. In The Twelfth International
Conference on Learning Representations. Vienna, Austria.
chicago: Frantar, Elias, Carlos Riquelme Ruiz, Neil Houlsby, Dan-Adrian Alistarh,
and Utku Evci. “Scaling Laws for Sparsely-Connected Foundation Models.” In The
Twelfth International Conference on Learning Representations, 2024.
ieee: E. Frantar, C. R. Ruiz, N. Houlsby, D.-A. Alistarh, and U. Evci, “Scaling
laws for sparsely-connected foundation models,” in The Twelfth International
Conference on Learning Representations, Vienna, Austria, 2024.
ista: 'Frantar E, Ruiz CR, Houlsby N, Alistarh D-A, Evci U. 2024. Scaling laws for
sparsely-connected foundation models. The Twelfth International Conference on
Learning Representations. ICLR: International Conference on Learning Representations.'
mla: Frantar, Elias, et al. “Scaling Laws for Sparsely-Connected Foundation Models.”
The Twelfth International Conference on Learning Representations, 2024.
short: E. Frantar, C.R. Ruiz, N. Houlsby, D.-A. Alistarh, U. Evci, in:, The Twelfth
International Conference on Learning Representations, 2024.
conference:
end_date: 2024-05-07
location: Vienna, Austria
name: 'ICLR: International Conference on Learning Representations'
start_date: 2024-05-07
corr_author: '1'
date_created: 2024-09-13T10:31:08Z
date_published: 2024-01-16T00:00:00Z
date_updated: 2026-07-29T13:48:40Z
day: '16'
ddc:
- '000'
department:
- _id: DaAl
external_id:
arxiv:
- '2309.08520'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://openreview.net/forum?id=i9K2ZWkYIP
month: '01'
oa: 1
oa_version: Published Version
publication: The Twelfth International Conference on Learning Representations
publication_status: published
quality_controlled: '1'
related_material:
record:
- id: '17485'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Scaling laws for sparsely-connected foundation models
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
_id: '18061'
abstract:
- lang: eng
text: 'Mixture-of-Experts (MoE) architectures offer a general solution to the high
inference costs of large language models (LLMs) via sparse routing, bringing faster
and more accurate models, at the cost of massive parameter counts. For example,
the SwitchTransformer-c2048 model has 1.6 trillion parameters, requiring 3.2TB
of accelerator memory to run efficiently, which makes practical deployment challenging
and expensive. In this paper, we present a solution to this memory problem, in
form of a new compression and execution framework called QMoE. Specifically, QMoE
consists of a scalable algorithm which accurately compresses trillion-parameter
MoEs to less than 1 bit per parameter, in a custom format co-designed with bespoke
GPU decoding kernels to facilitate efficient end-to-end compressed inference,
with minor runtime overheads relative to uncompressed execution. Concretely, QMoE
can compress the 1.6 trillion parameter SwitchTransformer-c2048 model to less
than 160GB (20x compression, 0.8 bits per parameter) at only minor accuracy loss,
in less than a day on a single GPU. This enables, for the first time, the execution
of a trillion-parameter model on affordable commodity hardware, like a single
server with 4x NVIDIA A6000 or 8x NVIDIA 3090 GPUs, at less than 5% runtime overhead
relative to ideal uncompressed inference. The anonymized code is available at:
github.com/mlsys24-qmoe/qmoe.'
article_processing_charge: No
author:
- first_name: Elias
full_name: Frantar, Elias
id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f
last_name: Frantar
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
citation:
ama: 'Frantar E, Alistarh D-A. QMoE: Sub-1-bit compression of trillion parameter
models. In: Proceedings of Machine Learning and Systems. Vol 6. ; 2024.'
apa: 'Frantar, E., & Alistarh, D.-A. (2024). QMoE: Sub-1-bit compression of
trillion parameter models. In Proceedings of Machine Learning and Systems
(Vol. 6). Santa Clara, CA, United States.'
chicago: 'Frantar, Elias, and Dan-Adrian Alistarh. “QMoE: Sub-1-Bit Compression
of Trillion Parameter Models.” In Proceedings of Machine Learning and Systems,
Vol. 6, 2024.'
ieee: 'E. Frantar and D.-A. Alistarh, “QMoE: Sub-1-bit compression of trillion parameter
models,” in Proceedings of Machine Learning and Systems, Santa Clara, CA,
United States, 2024, vol. 6.'
ista: 'Frantar E, Alistarh D-A. 2024. QMoE: Sub-1-bit compression of trillion parameter
models. Proceedings of Machine Learning and Systems. MLSys: Machine Learning and
Systems vol. 6.'
mla: 'Frantar, Elias, and Dan-Adrian Alistarh. “QMoE: Sub-1-Bit Compression of Trillion
Parameter Models.” Proceedings of Machine Learning and Systems, vol. 6,
2024.'
short: E. Frantar, D.-A. Alistarh, in:, Proceedings of Machine Learning and Systems,
2024.
conference:
end_date: 2024-05-16
location: Santa Clara, CA, United States
name: 'MLSys: Machine Learning and Systems'
start_date: 2024-05-13
corr_author: '1'
das_tickbox: '1'
date_created: 2024-09-13T10:01:38Z
date_published: 2024-05-01T00:00:00Z
date_updated: 2026-07-29T13:48:40Z
day: '01'
ddc:
- '000'
department:
- _id: DaAl
intvolume: ' 6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://proceedings.mlsys.org/paper_files/paper/2024/hash/c74b624843218d9b6713fcf299d6d5e4-Abstract-Conference.html
month: '05'
oa: 1
oa_version: Published Version
publication: Proceedings of Machine Learning and Systems
publication_status: published
quality_controlled: '1'
related_material:
record:
- id: '17485'
relation: dissertation_contains
status: public
status: public
title: 'QMoE: Sub-1-bit compression of trillion parameter models'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2024'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '22444'
abstract:
- lang: eng
text: Abstract. Hydro-pedotransfer functions (PTFs) relate easy-to-measure
and readily available soil information to soil hydraulic properties (SHPs) for
applications in a wide range of process-based and empirical models, thereby enabling
the assessment of soil hydraulic effects on hydrological, biogeochemical, and
ecological processes. At least more than 4 decades of research have been invested
to derive such relationships. However, while models, methods, data storage capacity,
and computational efficiency have advanced, there are fundamental concerns related
to the scope and adequacy of current PTFs, particularly when applied to parameterise
models used at the field scale and beyond. Most of the PTF development process
has focused on refining and advancing the regression methods, while fundamental
aspects have remained largely unconsidered. Most soil systems are not represented
in PTFs, which have been built mostly for agricultural soils in temperate climates.
Thus, existing PTFs largely ignore how parent material, vegetation, land use,
and climate affect processes that shape SHPs. The PTFs used to parameterise the
Richards–Richardson equation are mostly limited to predicting parameters of the
van Genuchten–Mualem soil hydraulic functions, despite sufficient evidence demonstrating
their shortcomings. Another fundamental issue relates to the diverging scales
of derivation and application, whereby PTFs are derived based on laboratory measurements
while often being applied at the field to regional scales. Scaling, modulation,
and constraining strategies exist to alleviate some of these shortcomings in the
mismatch between scales. These aspects are addressed here in a joint effort by
the members of the International Soil Modelling Consortium (ISMC) Pedotransfer
Functions Working Group with the aim of systematising PTF research and providing
a roadmap guiding both PTF development and use. We close with a 10-point catalogue
for funders and researchers to guide review processes and research.
article_processing_charge: No
article_type: original
author:
- first_name: Tobias Karl David
full_name: Weber, Tobias Karl David
last_name: Weber
- first_name: Lutz
full_name: Weihermüller, Lutz
last_name: Weihermüller
- first_name: Attila
full_name: Nemes, Attila
last_name: Nemes
- first_name: Michel
full_name: Bechtold, Michel
last_name: Bechtold
- first_name: Aurore
full_name: Degré, Aurore
last_name: Degré
- first_name: Efstathios
full_name: Diamantopoulos, Efstathios
last_name: Diamantopoulos
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Vilim
full_name: Filipović, Vilim
last_name: Filipović
- first_name: Surya
full_name: Gupta, Surya
last_name: Gupta
- first_name: Tobias L.
full_name: Hohenbrink, Tobias L.
last_name: Hohenbrink
- first_name: Daniel R.
full_name: Hirmas, Daniel R.
last_name: Hirmas
- first_name: Conrad
full_name: Jackisch, Conrad
last_name: Jackisch
- first_name: Quirijn
full_name: de Jong van Lier, Quirijn
last_name: de Jong van Lier
- first_name: John
full_name: Koestel, John
last_name: Koestel
- first_name: Peter
full_name: Lehmann, Peter
last_name: Lehmann
- first_name: Toby R.
full_name: Marthews, Toby R.
last_name: Marthews
- first_name: Budiman
full_name: Minasny, Budiman
last_name: Minasny
- first_name: Holger
full_name: Pagel, Holger
last_name: Pagel
- first_name: Martine
full_name: van der Ploeg, Martine
last_name: van der Ploeg
- first_name: Shahab Aldin
full_name: Shojaeezadeh, Shahab Aldin
last_name: Shojaeezadeh
- first_name: Simon Fiil
full_name: Svane, Simon Fiil
last_name: Svane
- first_name: Brigitta
full_name: Szabó, Brigitta
last_name: Szabó
- first_name: Harry
full_name: Vereecken, Harry
last_name: Vereecken
- first_name: Anne
full_name: Verhoef, Anne
last_name: Verhoef
- first_name: Michael
full_name: Young, Michael
last_name: Young
- first_name: Yijian
full_name: Zeng, Yijian
last_name: Zeng
- first_name: Yonggen
full_name: Zhang, Yonggen
last_name: Zhang
- first_name: Sara
full_name: Bonetti, Sara
last_name: Bonetti
citation:
ama: 'Weber TKD, Weihermüller L, Nemes A, et al. Hydro-pedotransfer functions: A
roadmap for future development. Hydrology and Earth System Sciences. 2024;28(14):3391-3433.
doi:10.5194/hess-28-3391-2024'
apa: 'Weber, T. K. D., Weihermüller, L., Nemes, A., Bechtold, M., Degré, A., Diamantopoulos,
E., … Bonetti, S. (2024). Hydro-pedotransfer functions: A roadmap for future development.
Hydrology and Earth System Sciences. Copernicus Publications. https://doi.org/10.5194/hess-28-3391-2024'
chicago: 'Weber, Tobias Karl David, Lutz Weihermüller, Attila Nemes, Michel Bechtold,
Aurore Degré, Efstathios Diamantopoulos, Simone Fatichi, et al. “Hydro-Pedotransfer
Functions: A Roadmap for Future Development.” Hydrology and Earth System Sciences.
Copernicus Publications, 2024. https://doi.org/10.5194/hess-28-3391-2024.'
ieee: 'T. K. D. Weber et al., “Hydro-pedotransfer functions: A roadmap for
future development,” Hydrology and Earth System Sciences, vol. 28, no.
14. Copernicus Publications, pp. 3391–3433, 2024.'
ista: 'Weber TKD, Weihermüller L, Nemes A, Bechtold M, Degré A, Diamantopoulos E,
Fatichi S, Filipović V, Gupta S, Hohenbrink TL, Hirmas DR, Jackisch C, de Jong
van Lier Q, Koestel J, Lehmann P, Marthews TR, Minasny B, Pagel H, van der Ploeg
M, Shojaeezadeh SA, Svane SF, Szabó B, Vereecken H, Verhoef A, Young M, Zeng Y,
Zhang Y, Bonetti S. 2024. Hydro-pedotransfer functions: A roadmap for future development.
Hydrology and Earth System Sciences. 28(14), 3391–3433.'
mla: 'Weber, Tobias Karl David, et al. “Hydro-Pedotransfer Functions: A Roadmap
for Future Development.” Hydrology and Earth System Sciences, vol. 28,
no. 14, Copernicus Publications, 2024, pp. 3391–433, doi:10.5194/hess-28-3391-2024.'
short: T.K.D. Weber, L. Weihermüller, A. Nemes, M. Bechtold, A. Degré, E. Diamantopoulos,
S. Fatichi, V. Filipović, S. Gupta, T.L. Hohenbrink, D.R. Hirmas, C. Jackisch,
Q. de Jong van Lier, J. Koestel, P. Lehmann, T.R. Marthews, B. Minasny, H. Pagel,
M. van der Ploeg, S.A. Shojaeezadeh, S.F. Svane, B. Szabó, H. Vereecken, A. Verhoef,
M. Young, Y. Zeng, Y. Zhang, S. Bonetti, Hydrology and Earth System Sciences 28
(2024) 3391–3433.
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2024-07-29T00:00:00Z
date_updated: 2026-07-30T11:43:29Z
day: '29'
ddc:
- '550'
doi: 10.5194/hess-28-3391-2024
extern: '1'
has_accepted_license: '1'
intvolume: ' 28'
issue: '14'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.5194/hess-28-3391-2024
month: '07'
oa: 1
oa_version: Published Version
page: 3391-3433
publication: Hydrology and Earth System Sciences
publication_identifier:
eissn:
- 1607-7938
issn:
- 1027-5606
publication_status: published
publisher: Copernicus Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Hydro-pedotransfer functions: A roadmap for future development'
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: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22485'
abstract:
- lang: eng
text: Allometric scaling relations are widely used to link biological processes
to body size in nature. Several studies have shown that such scaling laws hold
also for natural ecosystems, including individual trees and forests, riverine
metabolism, and river network organization. However, the derivation of scaling
laws for catchment-scale water and carbon fluxes has not been achieved so far.
Here, we focus on scaling relations of catchment green metabolism, defined as
the set of ecohydrological and biogeochemical processes through which vegetation
assemblages in catchments maintain their structure and react to the surrounding
environment. By revising existing plant size–density relationships and integrating
them across large-scale domains, we show that the ecohydrological fluxes occurring
at the catchment scale are invariant with respect to the above-ground vegetation
biomass per unit area of the basin, while they scale linearly with catchment size.
We thus demonstrate that the sublinear scaling of plant metabolism results in
an isometric scaling at catchment and regional scales. Deviations from such predictions
are further shown to collapse onto a common distribution, thus incorporating natural
fluctuations due to resource limitations into a generalized scaling theory. Results
from scaling arguments are supported by hyperresolution ecohydrological simulations
and remote sensing observations.
article_number: e2410736121
article_processing_charge: No
article_type: original
author:
- first_name: Francesca
full_name: Bassani, Francesca
last_name: Bassani
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Andrea
full_name: Rinaldo, Andrea
last_name: Rinaldo
- first_name: Sara
full_name: Bonetti, Sara
last_name: Bonetti
citation:
ama: 'Bassani F, Fatichi S, Rinaldo A, Bonetti S. Toward a metabolic theory of catchments:
Scaling of water and carbon fluxes with size. Proceedings of the National Academy
of Sciences. 2024;121(42). doi:10.1073/pnas.2410736121'
apa: 'Bassani, F., Fatichi, S., Rinaldo, A., & Bonetti, S. (2024). Toward a
metabolic theory of catchments: Scaling of water and carbon fluxes with size.
Proceedings of the National Academy of Sciences. National Academy of Sciences.
https://doi.org/10.1073/pnas.2410736121'
chicago: 'Bassani, Francesca, Simone Fatichi, Andrea Rinaldo, and Sara Bonetti.
“Toward a Metabolic Theory of Catchments: Scaling of Water and Carbon Fluxes with
Size.” Proceedings of the National Academy of Sciences. National Academy
of Sciences, 2024. https://doi.org/10.1073/pnas.2410736121.'
ieee: 'F. Bassani, S. Fatichi, A. Rinaldo, and S. Bonetti, “Toward a metabolic theory
of catchments: Scaling of water and carbon fluxes with size,” Proceedings of
the National Academy of Sciences, vol. 121, no. 42. National Academy of Sciences,
2024.'
ista: 'Bassani F, Fatichi S, Rinaldo A, Bonetti S. 2024. Toward a metabolic theory
of catchments: Scaling of water and carbon fluxes with size. Proceedings of the
National Academy of Sciences. 121(42), e2410736121.'
mla: 'Bassani, Francesca, et al. “Toward a Metabolic Theory of Catchments: Scaling
of Water and Carbon Fluxes with Size.” Proceedings of the National Academy
of Sciences, vol. 121, no. 42, e2410736121, National Academy of Sciences,
2024, doi:10.1073/pnas.2410736121.'
short: F. Bassani, S. Fatichi, A. Rinaldo, S. Bonetti, Proceedings of the National
Academy of Sciences 121 (2024).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2024-10-09T00:00:00Z
date_updated: 2026-07-30T11:27:23Z
day: '09'
ddc:
- '550'
doi: 10.1073/pnas.2410736121
extern: '1'
has_accepted_license: '1'
intvolume: ' 121'
issue: '42'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
main_file_link:
- open_access: '1'
url: https://doi.org/10.1073/pnas.2410736121
month: '10'
oa: 1
oa_version: Published Version
publication: Proceedings of the National Academy of Sciences
publication_identifier:
eissn:
- 1091-6490
issn:
- 0027-8424
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Toward a metabolic theory of catchments: Scaling of water and carbon fluxes
with size'
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 121
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22453'
abstract:
- lang: eng
text: As climate change intensifies, cities globally are experiencing more severe
rainfall and frequent pluvial floods. Urban expansion is altering the permeability
of the land, thus increasing the risk of flooding. This study investigates the
impact of urban morphology on pluvial floodwater distribution in 15 urban catchments
across England, UK, to provide an analysis of how urban morphology influences
flood magnitude. Using a cellular automata-based model, pluvial flood simulations
were conducted for catchments characterized by diverse urban morphologies. Then
a series of machine learning models were adopted to reveal the relationships between
the morphological characteristics of urban configurations (e.g., building footprints,
impervious surfaces, street network, topography) and pluvial flooding. These models
were used to identify and quantify the effects of key urban morphological indicators
on pluvial flooding. The results indicate that, although the total area of impervious
surfaces plays the most significant role in floodwater distribution, the edge
density (ED) of building footprints and impervious surfaces also influences this
process. Synthetic experiments with an exemplary urban fabric show that decreasing
“ED of building footprint” and increasing “ED of impervious surface” can mitigate
flood volume by up to 6.3 % at 100 % drainage efficiency and 7.8 % at 50 % efficiency.
The results of this study are anticipated to aid urban planners and policymakers
in developing strategies for implementing flood-resilient cities.
article_number: '176139'
article_processing_charge: No
article_type: original
author:
- first_name: Yue
full_name: Zhu, Yue
last_name: Zhu
- first_name: Paolo
full_name: Burlando, Paolo
last_name: Burlando
- first_name: Puay Yok
full_name: Tan, Puay Yok
last_name: Tan
- first_name: Jovan
full_name: Blagojevic, Jovan
last_name: Blagojevic
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
citation:
ama: 'Zhu Y, Burlando P, Tan PY, Blagojevic J, Fatichi S. Investigating the influence
of urban morphology on pluvial flooding: Insights from urban catchments in England
(UK). Science of The Total Environment. 2024;953. doi:10.1016/j.scitotenv.2024.176139'
apa: 'Zhu, Y., Burlando, P., Tan, P. Y., Blagojevic, J., & Fatichi, S. (2024).
Investigating the influence of urban morphology on pluvial flooding: Insights
from urban catchments in England (UK). Science of The Total Environment.
Elsevier. https://doi.org/10.1016/j.scitotenv.2024.176139'
chicago: 'Zhu, Yue, Paolo Burlando, Puay Yok Tan, Jovan Blagojevic, and Simone Fatichi.
“Investigating the Influence of Urban Morphology on Pluvial Flooding: Insights
from Urban Catchments in England (UK).” Science of The Total Environment.
Elsevier, 2024. https://doi.org/10.1016/j.scitotenv.2024.176139.'
ieee: 'Y. Zhu, P. Burlando, P. Y. Tan, J. Blagojevic, and S. Fatichi, “Investigating
the influence of urban morphology on pluvial flooding: Insights from urban catchments
in England (UK),” Science of The Total Environment, vol. 953. Elsevier,
2024.'
ista: 'Zhu Y, Burlando P, Tan PY, Blagojevic J, Fatichi S. 2024. Investigating the
influence of urban morphology on pluvial flooding: Insights from urban catchments
in England (UK). Science of The Total Environment. 953, 176139.'
mla: 'Zhu, Yue, et al. “Investigating the Influence of Urban Morphology on Pluvial
Flooding: Insights from Urban Catchments in England (UK).” Science of The Total
Environment, vol. 953, 176139, Elsevier, 2024, doi:10.1016/j.scitotenv.2024.176139.'
short: Y. Zhu, P. Burlando, P.Y. Tan, J. Blagojevic, S. Fatichi, Science of The
Total Environment 953 (2024).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2024-11-25T00:00:00Z
date_updated: 2026-07-30T11:40:38Z
day: '25'
ddc:
- '550'
doi: 10.1016/j.scitotenv.2024.176139
extern: '1'
has_accepted_license: '1'
intvolume: ' 953'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.scitotenv.2024.176139
month: '11'
oa: 1
oa_version: Published Version
publication: Science of The Total Environment
publication_identifier:
issn:
- 0048-9697
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Investigating the influence of urban morphology on pluvial flooding: Insights
from urban catchments in England (UK)'
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: 953
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '22491'
abstract:
- lang: eng
text: AbstractMicrobial carbon use efficiency (CUE)
is an important variable mediating microbial effects on soil organic carbon (SOC)
since it summarizes how much carbon is used for microbial growth or is respired.
Yet, the role of CUE in regulating SOC storage remains debated, with evidence
for both positive and negative SOC‐CUE relations. Here, we use a combination of
measured data around the world and numerical simulations to explore SOC‐CUE relations
accounting for temperature (T) effects on CUE. Results reveal that the sign of
the CUE‐T relation controls the direction of the SOC‐CUE relations. A negative
CUE‐T relation leads to a positive SOC‐CUE relation and vice versa, highlighting
that CUE‐T patterns significantly affect how organic carbon is used by microbes
and hence SOC‐CUE relations. Numerical results also confirm the observed negative
SOC‐T relation, regardless of the CUE‐T patterns, implying that temperature plays
a more dominant role than CUE in controlling SOC storage. The SOC‐CUE relation
is usually negative when temperature effects are isolated, even though it can
become positive when nonlinear microbial turnover is considered. These results
indicate a dominant role of CUE‐T patterns in controlling the SOC‐CUE relation.
Our findings help to better understand SOC and microbial responses to a warming
climate.
article_number: e17492
article_processing_charge: No
article_type: original
author:
- first_name: Zhaoyang
full_name: Luo, Zhaoyang
last_name: Luo
- first_name: Jianning
full_name: Ren, Jianning
last_name: Ren
- first_name: Stefano
full_name: Manzoni, Stefano
last_name: Manzoni
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
citation:
ama: Luo Z, Ren J, Manzoni S, Fatichi S. Temperature controls the relation between
soil organic carbon and microbial carbon use efficiency. Global Change Biology.
2024;30(9). doi:10.1111/gcb.17492
apa: Luo, Z., Ren, J., Manzoni, S., & Fatichi, S. (2024). Temperature controls
the relation between soil organic carbon and microbial carbon use efficiency.
Global Change Biology. Wiley. https://doi.org/10.1111/gcb.17492
chicago: Luo, Zhaoyang, Jianning Ren, Stefano Manzoni, and Simone Fatichi. “Temperature
Controls the Relation between Soil Organic Carbon and Microbial Carbon Use Efficiency.”
Global Change Biology. Wiley, 2024. https://doi.org/10.1111/gcb.17492.
ieee: Z. Luo, J. Ren, S. Manzoni, and S. Fatichi, “Temperature controls the relation
between soil organic carbon and microbial carbon use efficiency,” Global Change
Biology, vol. 30, no. 9. Wiley, 2024.
ista: Luo Z, Ren J, Manzoni S, Fatichi S. 2024. Temperature controls the relation
between soil organic carbon and microbial carbon use efficiency. Global Change
Biology. 30(9), e17492.
mla: Luo, Zhaoyang, et al. “Temperature Controls the Relation between Soil Organic
Carbon and Microbial Carbon Use Efficiency.” Global Change Biology, vol.
30, no. 9, e17492, Wiley, 2024, doi:10.1111/gcb.17492.
short: Z. Luo, J. Ren, S. Manzoni, S. Fatichi, Global Change Biology 30 (2024).
das_tickbox: '1'
date_created: 2026-07-27T12:30:23Z
date_published: 2024-09-01T00:00:00Z
date_updated: 2026-07-30T11:12:07Z
day: '01'
ddc:
- '550'
doi: 10.1111/gcb.17492
extern: '1'
has_accepted_license: '1'
intvolume: ' 30'
issue: '9'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1111/gcb.17492
month: '09'
oa: 1
oa_version: Published Version
publication: Global Change Biology
publication_identifier:
eissn:
- 1365-2486
issn:
- 1354-1013
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Temperature controls the relation between soil organic carbon and microbial
carbon use efficiency
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: 30
year: '2024'
...
---
OA_place: publisher
_id: '18132'
abstract:
- lang: eng
text: "In this thesis, we are dealing with both arithmetic and geometric problems
coming from the\r\nstudy of rational points with a particular focus on function
fields over finite fields:\r\n(1) Using the circle method we produce upper bounds
for the number of rational points of\r\nbounded height on diagonal cubic surfaces
and fourfolds over Fq(t). This is based on\r\njoint work with Leonhard Hochfilzer.\r\n(2)
We study rational points on smooth complete intersections X defined by cubic and\r\nquadratic
hypersurfaces over Fq(t). We refine the Farey dissection of the “unit square”\r\ndeveloped
by Vishe [202] and use the circle method with a Kloosterman refinement to\r\nestablish
an asymptotic formula for the number of rational points of bounded height on\r\nX
when dim(X) ≥ 23. Under the same hypotheses, we also verify weak approximation.\r\n(3)
In joint work with Hochfilzer, we obtain upper bounds for the number of rational
points of\r\nbounded height on del Pezzo surfaces of low degree over any global
field. Our approach\r\nis to take hyperplane sections, which reduces the problem
to uniform estimates for the\r\nnumber of rational points on curves.\r\n(4) We
develop a version of the circle method capable of counting Fq-points on jet schemes\r\nof
moduli spaces of rational curves on hypersurfaces. Combining this with a spreading\r\nout
argument and a result of Mustaţă [150], this allows us to show that these moduli\r\nspaces
only have canonical singularities under suitable assumptions on the degree and
the\r\ndimension.\r\nIn addition, we give an overview of guiding questions and
conjectures in the field of rational\r\npoints and explain the basic mechanism
underlying the circle method.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Jakob
full_name: Glas, Jakob
id: d6423cba-dc74-11ea-a0a7-ee61689ff5fb
last_name: Glas
citation:
ama: Glas J. Counting rational points over function fields. 2024. doi:10.15479/at:ista:18132
apa: Glas, J. (2024). Counting rational points over function fields. Institute
of Science and Technology Austria. https://doi.org/10.15479/at:ista:18132
chicago: Glas, Jakob. “Counting Rational Points over Function Fields.” Institute
of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:18132.
ieee: J. Glas, “Counting rational points over function fields,” Institute of Science
and Technology Austria, 2024.
ista: Glas J. 2024. Counting rational points over function fields. Institute of
Science and Technology Austria.
mla: Glas, Jakob. Counting Rational Points over Function Fields. Institute
of Science and Technology Austria, 2024, doi:10.15479/at:ista:18132.
short: J. Glas, Counting Rational Points over Function Fields, Institute of Science
and Technology Austria, 2024.
corr_author: '1'
das_tickbox: '0'
date_created: 2024-09-23T18:58:08Z
date_published: 2024-09-23T00:00:00Z
date_updated: 2026-08-06T10:33:33Z
day: '23'
ddc:
- '512'
degree_awarded: PhD
department:
- _id: GradSch
- _id: TiBr
doi: 10.15479/at:ista:18132
doi_confirm: '1'
file:
- access_level: closed
checksum: 2f8cf5cefdab108b1979caa8146cae9a
content_type: application/x-zip-compressed
creator: jglas
date_created: 2024-09-23T18:49:22Z
date_updated: 2024-09-23T18:49:22Z
file_id: '18133'
file_name: PhDthesis (3).zip
file_size: 5382106
relation: source_file
- access_level: open_access
checksum: 08bb6f14c42b47ff25882a2ce3ea0d8a
content_type: application/pdf
creator: jglas
date_created: 2024-09-25T14:08:57Z
date_updated: 2024-09-25T14:08:57Z
file_id: '18140'
file_name: example-phd.pdf
file_size: 2380127
relation: main_file
success: 1
file_date_updated: 2024-09-25T14:08:57Z
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '09'
oa: 1
oa_version: Published Version
page: '195'
project:
- _id: bd8a4fdc-d553-11ed-ba76-80a0167441a3
grant_number: P36278
name: Rational curves via function field analytic number theory
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '18173'
relation: part_of_dissertation
status: public
- id: '18295'
relation: part_of_dissertation
status: public
- id: '18294'
relation: part_of_dissertation
status: public
- id: '18293'
relation: part_of_dissertation
status: public
researchdata_availability: no
status: public
supervisor:
- first_name: Timothy D
full_name: Browning, Timothy D
id: 35827D50-F248-11E8-B48F-1D18A9856A87
last_name: Browning
orcid: 0000-0002-8314-0177
supplementarymaterial: no
title: Counting rational points over function fields
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: dissertation
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '15311'
abstract:
- lang: eng
text: Materials with low thermal conductivity usually have complex crystal structures.
Herein we experimentally find that a simple crystal structure material AgTlI2
(I4/mcm) owns an extremely low thermal conductivity of 0.25 W/mK at room temperature.
To understand this anomaly, we perform in-depth theoretical studies based on ab
initio molecular dynamics simulations and anharmonic lattice dynamics. We find
that the unique atomic arrangement and weak chemical bonding provide a permissive
environment for strong oscillations of Ag atoms, leading to a considerable rattling
behaviour and giant lattice anharmonicity. This feature is also verified by the
experimental probability density function refinement of single-crystal diffraction.
The particularly strong anharmonicity breaks down the conventional phonon gas
model, giving rise to non-negligible wavelike phonon behaviours in AgTlI2 at 300
K. Intriguingly, unlike many strongly anharmonic materials where a small propagative
thermal conductivity is often accompanied by a large diffusive thermal conductivity,
we find an unusual coexistence of ultralow propagative and diffusive thermal conductivities
in AgTlI2 based on the thermal transport unified theory. This study underscores
the potential of simple crystal structures in achieving low thermal conductivity
and encourages further experimental research to enrich the family of materials
with ultralow thermal conductivity.
acknowledgement: "We thank Bingqing Cheng (IST Austria) and Terumasa Tadano (NIMS\r\nJapan)
for reading the manuscript and providing insightful comments.\r\nThis work is supported
by the Research Grants Council of Hong Kong\r\n(C7002-22Y and 17318122). ZZ acknowledges
the European Union’s\r\nHorizon 2020 research and innovation programme under the
Marie\r\nSkłodowska-Curie grant agreement No. 101034413. XS acknowledges\r\nfunding
from the European Union’s Horizon 2020 research and innovation programme under the
Marie Sklodowska-Curie grant agreement\r\nNo. 101034329, and the WINNING Normandy
Programme supported by\r\nthe Normandy Region. The computations were performed using\r\nresearch
computing facilities offered by Information Technology Services, at the University
of Hong Kong."
article_number: '3007'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Zezhu
full_name: Zeng, Zezhu
id: 54a2c730-803f-11ed-ab7e-95b29d2680e7
last_name: Zeng
orcid: 0000-0001-5126-4928
- first_name: Xingchen
full_name: Shen, Xingchen
last_name: Shen
- first_name: Ruihuan
full_name: Cheng, Ruihuan
last_name: Cheng
- first_name: Olivier
full_name: Perez, Olivier
last_name: Perez
- first_name: Niuchang
full_name: Ouyang, Niuchang
last_name: Ouyang
- first_name: Zheyong
full_name: Fan, Zheyong
last_name: Fan
- first_name: Pierric
full_name: Lemoine, Pierric
last_name: Lemoine
- first_name: Bernard
full_name: Raveau, Bernard
last_name: Raveau
- first_name: Emmanuel
full_name: Guilmeau, Emmanuel
last_name: Guilmeau
- first_name: Yue
full_name: Chen, Yue
last_name: Chen
citation:
ama: Zeng Z, Shen X, Cheng R, et al. Pushing thermal conductivity to its lower limit
in crystals with simple structures. Nature Communications. 2024;15. doi:10.1038/s41467-024-46799-3
apa: Zeng, Z., Shen, X., Cheng, R., Perez, O., Ouyang, N., Fan, Z., … Chen, Y. (2024).
Pushing thermal conductivity to its lower limit in crystals with simple structures.
Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-024-46799-3
chicago: Zeng, Zezhu, Xingchen Shen, Ruihuan Cheng, Olivier Perez, Niuchang Ouyang,
Zheyong Fan, Pierric Lemoine, Bernard Raveau, Emmanuel Guilmeau, and Yue Chen.
“Pushing Thermal Conductivity to Its Lower Limit in Crystals with Simple Structures.”
Nature Communications. Springer Nature, 2024. https://doi.org/10.1038/s41467-024-46799-3.
ieee: Z. Zeng et al., “Pushing thermal conductivity to its lower limit in
crystals with simple structures,” Nature Communications, vol. 15. Springer
Nature, 2024.
ista: Zeng Z, Shen X, Cheng R, Perez O, Ouyang N, Fan Z, Lemoine P, Raveau B, Guilmeau
E, Chen Y. 2024. Pushing thermal conductivity to its lower limit in crystals with
simple structures. Nature Communications. 15, 3007.
mla: Zeng, Zezhu, et al. “Pushing Thermal Conductivity to Its Lower Limit in Crystals
with Simple Structures.” Nature Communications, vol. 15, 3007, Springer
Nature, 2024, doi:10.1038/s41467-024-46799-3.
short: Z. Zeng, X. Shen, R. Cheng, O. Perez, N. Ouyang, Z. Fan, P. Lemoine, B. Raveau,
E. Guilmeau, Y. Chen, Nature Communications 15 (2024).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: "All necessary source data files generated for this study
are available in the SI repository https://github.com/ZengZezhu/Thermal-conductivity-AgTlI2
see ref 72.\r\n72. Zeng, Z. et al. Source data for pushing thermal conductivity
to its lower limit in crystals with simple structures. Zenodo (2024)."
date_created: 2024-04-14T22:01:00Z
date_published: 2024-04-08T00:00:00Z
date_updated: 2026-08-07T10:33:08Z
day: '08'
ddc:
- '530'
department:
- _id: BiCh
doi: 10.1038/s41467-024-46799-3
ec_funded: 1
external_id:
arxiv:
- '2310.01838'
isi:
- '001198902100029'
pmid:
- '38589376'
file:
- access_level: open_access
checksum: f81bd6ba42f740d060fb446eeebc1035
content_type: application/pdf
creator: cchlebak
date_created: 2024-04-26T10:34:07Z
date_updated: 2024-04-26T10:34:07Z
file_id: '15346'
file_name: 2024_NatComm_Zeng.pdf
file_size: 3049375
relation: main_file
success: 1
file_date_updated: 2024-04-26T10:34:07Z
has_accepted_license: '1'
intvolume: ' 15'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
publication: Nature Communications
publication_identifier:
eissn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Pushing thermal conductivity to its lower limit in crystals with simple structures
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 15
year: '2024'
...
---
_id: '15052'
abstract:
- lang: eng
text: "Substrate induces mechanical strain on perovskite devices, which can result
in alterations to its lattice dynamics and thermal transport. Herein, we have
performed a theoretical investigation on the anharmonic lattice dynamics and thermal
property of perovskite Rb2SnBr6 and Cs2SnBr6 under strains using perturbation
theory up to the fourth-order terms and the unified thermal transport theory.
We demonstrate a pronounced hardening of low-frequency optical phonons as temperature
increases, indicating strong lattice anharmonicity and the necessity of adopting
temperature-dependent interatomic force constants in the lattice thermal conductivity
(\r\nκL) calculations. It is found that the low-lying optical phonon modes of
Rb2SnBr6 are extremely soft and their phonon energies are almost strain independent,
which ultimately lead to a lower \r\nκL and a weaker strain dependence than Cs2SnBr6.
We further reveal that the strain dependence of these phonon modes in the A2XB6-type
perovskites weakens as their ibrational frequency decreases. This study deepens
the understanding of lattice thermal transport in perovskites A2XB6 and provides
a perspective on the selection of materials that meet the expected thermal behaviors
in practical applications."
acknowledgement: "This work is supported by the Research Grants Council of Hong Kong
(C7002-22Y and 17318122). The authors are grateful for the research computing facilities
offered by\r\nITS, HKU. Z.Z. acknowledges the European Union’s Horizon 2020 research
and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101034413."
article_number: '054305'
article_processing_charge: No
article_type: original
author:
- first_name: Ruihuan
full_name: Cheng, Ruihuan
last_name: Cheng
- first_name: Zezhu
full_name: Zeng, Zezhu
id: 54a2c730-803f-11ed-ab7e-95b29d2680e7
last_name: Zeng
orcid: 0000-0001-5126-4928
- first_name: Chen
full_name: Wang, Chen
last_name: Wang
- first_name: Niuchang
full_name: Ouyang, Niuchang
last_name: Ouyang
- first_name: Yue
full_name: Chen, Yue
last_name: Chen
citation:
ama: Cheng R, Zeng Z, Wang C, Ouyang N, Chen Y. Impact of strain-insensitive low-frequency
phonon modes on lattice thermal transport in AxXB6-type perovskites. Physical
Review B. 2024;109(5). doi:10.1103/physrevb.109.054305
apa: Cheng, R., Zeng, Z., Wang, C., Ouyang, N., & Chen, Y. (2024). Impact of
strain-insensitive low-frequency phonon modes on lattice thermal transport in
AxXB6-type perovskites. Physical Review B. American Physical Society. https://doi.org/10.1103/physrevb.109.054305
chicago: Cheng, Ruihuan, Zezhu Zeng, Chen Wang, Niuchang Ouyang, and Yue Chen. “Impact
of Strain-Insensitive Low-Frequency Phonon Modes on Lattice Thermal Transport
in AxXB6-Type Perovskites.” Physical Review B. American Physical Society,
2024. https://doi.org/10.1103/physrevb.109.054305.
ieee: R. Cheng, Z. Zeng, C. Wang, N. Ouyang, and Y. Chen, “Impact of strain-insensitive
low-frequency phonon modes on lattice thermal transport in AxXB6-type perovskites,”
Physical Review B, vol. 109, no. 5. American Physical Society, 2024.
ista: Cheng R, Zeng Z, Wang C, Ouyang N, Chen Y. 2024. Impact of strain-insensitive
low-frequency phonon modes on lattice thermal transport in AxXB6-type perovskites.
Physical Review B. 109(5), 054305.
mla: Cheng, Ruihuan, et al. “Impact of Strain-Insensitive Low-Frequency Phonon Modes
on Lattice Thermal Transport in AxXB6-Type Perovskites.” Physical Review B,
vol. 109, no. 5, 054305, American Physical Society, 2024, doi:10.1103/physrevb.109.054305.
short: R. Cheng, Z. Zeng, C. Wang, N. Ouyang, Y. Chen, Physical Review B 109 (2024).
das_tickbox: '0'
date_created: 2024-03-04T07:41:23Z
date_published: 2024-02-14T00:00:00Z
date_updated: 2026-08-07T10:30:33Z
day: '14'
department:
- _id: BiCh
doi: 10.1103/physrevb.109.054305
ec_funded: 1
external_id:
isi:
- '001198615900003'
intvolume: ' 109'
isi: 1
issue: '5'
language:
- iso: eng
month: '02'
oa_version: None
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
publication: Physical Review B
publication_identifier:
eissn:
- 2469-9969
issn:
- 2469-9950
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Impact of strain-insensitive low-frequency phonon modes on lattice thermal
transport in AxXB6-type perovskites
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 109
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '18952'
abstract:
- lang: eng
text: 'A seventh blind test of crystal structure prediction was organized by the
Cambridge Crystallographic Data Centre featuring seven target systems of varying
complexity: a silicon and iodine-containing molecule, a copper coordination complex,
a near-rigid molecule, a cocrystal, a polymorphic small agrochemical, a highly
flexible polymorphic drug candidate, and a polymorphic morpholine salt. In this
first of two parts focusing on structure generation methods, many crystal structure
prediction (CSP) methods performed well for the small but flexible agrochemical
compound, successfully reproducing the experimentally observed crystal structures,
while few groups were successful for the systems of higher complexity. A powder
X-ray diffraction (PXRD) assisted exercise demonstrated the use of CSP in successfully
determining a crystal structure from a low-quality PXRD pattern. The use of CSP
in the prediction of likely cocrystal stoichiometry was also explored, demonstrating
multiple possible approaches. Crystallographic disorder emerged as an important
theme throughout the test as both a challenge for analysis and a major achievement
where two groups blindly predicted the existence of disorder for the first time.
Additionally, large-scale comparisons of the sets of predicted crystal structures
also showed that some methods yield sets that largely contain the same crystal
structures.'
acknowledgement: "The CCDC Blind Test Team. The CCDC organizers (L. M. Hunnisett,
J. Nyman, N. Francia, I. Sugden, G. Sadiq, and J. C. Cole) gratefully acknowledge
numerous CCDC colleagues for\r\ntheir helpful feedback and suggestions on the manuscript
(P. McCabe, E. Pidcock, P. Martinez-Bulit, C. Kingsbury), providing useful python
knowledge (A. Moldovan), providing and maintaining internal compute resources (K.
Taylor, M. Burling, J. Swift, L. Wallis), monitoring and depositing structures in
the CSD (S. Ward, K. Orzechowska, V. Menon), support in organization of the blind
test meeting (E. Clarke),and improvements to the Crystal Packing Similarity tool
(M.\r\nRead). Data analysis was performed using resources provided by the Cambridge
Service for Data Driven Discovery (CSD3) operated by the University of Cambridge
Research Computing Service (www.csd3.cam.ac.uk), provided by Dell EMC and Intel
using Tier-2 funding from the Engineering and Physical Sciences Research Council
(capital grant EP/T022159/1), and DiRAC funding from the Science and Technology
Facilities Council (www.dirac.ac.uk). N. Francia thanks M. Salvalaglio for advice
on the metadynamics simulations and the University College London for providing
access to the Kathleen High Performance Computing Facility Kathleen@UCL) on which
simulations were performed. N. Francia also thanks V. Kurlin and D. E. Widdowson
for counselling on crystal structure similarity. I. Sugden and N. Francia participated
in the blind test as members of Groups 1 and 24, respectively. They were involved
in the analysis of the results.\r\nand in writing this paper only after all results
were made\r\navailable to participants."
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Lily M.
full_name: Hunnisett, Lily M.
last_name: Hunnisett
- first_name: Jonas
full_name: Nyman, Jonas
last_name: Nyman
- first_name: Nicholas
full_name: Francia, Nicholas
last_name: Francia
- first_name: Nathan S.
full_name: Abraham, Nathan S.
last_name: Abraham
- first_name: Claire S.
full_name: Adjiman, Claire S.
last_name: Adjiman
- first_name: Srinivasulu
full_name: Aitipamula, Srinivasulu
last_name: Aitipamula
- first_name: Tamador
full_name: Alkhidir, Tamador
last_name: Alkhidir
- first_name: Mubarak
full_name: Almehairbi, Mubarak
last_name: Almehairbi
- first_name: Andrea
full_name: Anelli, Andrea
last_name: Anelli
- first_name: Dylan M.
full_name: Anstine, Dylan M.
last_name: Anstine
- first_name: John E.
full_name: Anthony, John E.
last_name: Anthony
- first_name: Joseph E.
full_name: Arnold, Joseph E.
last_name: Arnold
- first_name: Faezeh
full_name: Bahrami, Faezeh
last_name: Bahrami
- first_name: Michael A.
full_name: Bellucci, Michael A.
last_name: Bellucci
- first_name: Rajni M.
full_name: Bhardwaj, Rajni M.
last_name: Bhardwaj
- first_name: Imanuel
full_name: Bier, Imanuel
last_name: Bier
- first_name: Joanna A.
full_name: Bis, Joanna A.
last_name: Bis
- first_name: A. Daniel
full_name: Boese, A. Daniel
last_name: Boese
- first_name: David H.
full_name: Bowskill, David H.
last_name: Bowskill
- first_name: James
full_name: Bramley, James
last_name: Bramley
- first_name: Jan Gerit
full_name: Brandenburg, Jan Gerit
last_name: Brandenburg
- first_name: Doris E.
full_name: Braun, Doris E.
last_name: Braun
- first_name: Patrick W. V.
full_name: Butler, Patrick W. V.
last_name: Butler
- first_name: Joseph
full_name: Cadden, Joseph
last_name: Cadden
- first_name: Stephen
full_name: Carino, Stephen
last_name: Carino
- first_name: Eric J.
full_name: Chan, Eric J.
last_name: Chan
- first_name: Chao
full_name: Chang, Chao
last_name: Chang
- first_name: Bingqing
full_name: Cheng, Bingqing
id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
last_name: Cheng
orcid: 0000-0002-3584-9632
- first_name: Sarah M.
full_name: Clarke, Sarah M.
last_name: Clarke
- first_name: Simon J.
full_name: Coles, Simon J.
last_name: Coles
- first_name: Richard I.
full_name: Cooper, Richard I.
last_name: Cooper
- first_name: Ricky
full_name: Couch, Ricky
last_name: Couch
- first_name: Ramon
full_name: Cuadrado, Ramon
last_name: Cuadrado
- first_name: Tom
full_name: Darden, Tom
last_name: Darden
- first_name: Graeme M.
full_name: Day, Graeme M.
last_name: Day
- first_name: Hanno
full_name: Dietrich, Hanno
last_name: Dietrich
- first_name: Yiming
full_name: Ding, Yiming
last_name: Ding
- first_name: Antonio
full_name: DiPasquale, Antonio
last_name: DiPasquale
- first_name: Bhausaheb
full_name: Dhokale, Bhausaheb
last_name: Dhokale
- first_name: Bouke P.
full_name: van Eijck, Bouke P.
last_name: van Eijck
- first_name: Mark R. J.
full_name: Elsegood, Mark R. J.
last_name: Elsegood
- first_name: Dzmitry
full_name: Firaha, Dzmitry
last_name: Firaha
- first_name: Wenbo
full_name: Fu, Wenbo
last_name: Fu
- first_name: Kaori
full_name: Fukuzawa, Kaori
last_name: Fukuzawa
- first_name: Joseph
full_name: Glover, Joseph
last_name: Glover
- first_name: Hitoshi
full_name: Goto, Hitoshi
last_name: Goto
- first_name: Chandler
full_name: Greenwell, Chandler
last_name: Greenwell
- first_name: Rui
full_name: Guo, Rui
last_name: Guo
- first_name: Jürgen
full_name: Harter, Jürgen
last_name: Harter
- first_name: Julian
full_name: Helfferich, Julian
last_name: Helfferich
- first_name: Detlef W. M.
full_name: Hofmann, Detlef W. M.
last_name: Hofmann
- first_name: Johannes
full_name: Hoja, Johannes
last_name: Hoja
- first_name: John
full_name: Hone, John
last_name: Hone
- first_name: Richard
full_name: Hong, Richard
last_name: Hong
- first_name: Geoffrey
full_name: Hutchison, Geoffrey
last_name: Hutchison
- first_name: Yasuhiro
full_name: Ikabata, Yasuhiro
last_name: Ikabata
- first_name: Olexandr
full_name: Isayev, Olexandr
last_name: Isayev
- first_name: Ommair
full_name: Ishaque, Ommair
last_name: Ishaque
- first_name: Varsha
full_name: Jain, Varsha
last_name: Jain
- first_name: Yingdi
full_name: Jin, Yingdi
last_name: Jin
- first_name: Aling
full_name: Jing, Aling
last_name: Jing
- first_name: Erin R.
full_name: Johnson, Erin R.
last_name: Johnson
- first_name: Ian
full_name: Jones, Ian
last_name: Jones
- first_name: K. V. Jovan
full_name: Jose, K. V. Jovan
last_name: Jose
- first_name: Elena A.
full_name: Kabova, Elena A.
last_name: Kabova
- first_name: Adam
full_name: Keates, Adam
last_name: Keates
- first_name: Paul F.
full_name: Kelly, Paul F.
last_name: Kelly
- first_name: Dmitry
full_name: Khakimov, Dmitry
last_name: Khakimov
- first_name: Stefanos
full_name: Konstantinopoulos, Stefanos
last_name: Konstantinopoulos
- first_name: Liudmila N.
full_name: Kuleshova, Liudmila N.
last_name: Kuleshova
- first_name: He
full_name: Li, He
last_name: Li
- first_name: Xiaolu
full_name: Lin, Xiaolu
last_name: Lin
- first_name: Alexander
full_name: List, Alexander
last_name: List
- first_name: Congcong
full_name: Liu, Congcong
last_name: Liu
- first_name: Yifei Michelle
full_name: Liu, Yifei Michelle
last_name: Liu
- first_name: Zenghui
full_name: Liu, Zenghui
last_name: Liu
- first_name: Zhi-Pan
full_name: Liu, Zhi-Pan
last_name: Liu
- first_name: Joseph W.
full_name: Lubach, Joseph W.
last_name: Lubach
- first_name: Noa
full_name: Marom, Noa
last_name: Marom
- first_name: Alexander A.
full_name: Maryewski, Alexander A.
last_name: Maryewski
- first_name: Hiroyuki
full_name: Matsui, Hiroyuki
last_name: Matsui
- first_name: Alessandra
full_name: Mattei, Alessandra
last_name: Mattei
- first_name: R. Alex
full_name: Mayo, R. Alex
last_name: Mayo
- first_name: John W.
full_name: Melkumov, John W.
last_name: Melkumov
- first_name: Sharmarke
full_name: Mohamed, Sharmarke
last_name: Mohamed
- first_name: Zahrasadat
full_name: Momenzadeh Abardeh, Zahrasadat
last_name: Momenzadeh Abardeh
- first_name: Hari S.
full_name: Muddana, Hari S.
last_name: Muddana
- first_name: Naofumi
full_name: Nakayama, Naofumi
last_name: Nakayama
- first_name: Kamal Singh
full_name: Nayal, Kamal Singh
last_name: Nayal
- first_name: Marcus A.
full_name: Neumann, Marcus A.
last_name: Neumann
- first_name: Rahul
full_name: Nikhar, Rahul
last_name: Nikhar
- first_name: Shigeaki
full_name: Obata, Shigeaki
last_name: Obata
- first_name: Dana
full_name: O'Connor, Dana
last_name: O'Connor
- first_name: Artem R.
full_name: Oganov, Artem R.
last_name: Oganov
- first_name: Koji
full_name: Okuwaki, Koji
last_name: Okuwaki
- first_name: Alberto
full_name: Otero-de-la-Roza, Alberto
last_name: Otero-de-la-Roza
- first_name: Constantinos C.
full_name: Pantelides, Constantinos C.
last_name: Pantelides
- first_name: Sean
full_name: Parkin, Sean
last_name: Parkin
- first_name: Chris J.
full_name: Pickard, Chris J.
last_name: Pickard
- first_name: Luca
full_name: Pilia, Luca
last_name: Pilia
- first_name: Tatyana
full_name: Pivina, Tatyana
last_name: Pivina
- first_name: Rafał
full_name: Podeszwa, Rafał
last_name: Podeszwa
- first_name: Alastair J. A.
full_name: Price, Alastair J. A.
last_name: Price
- first_name: Louise S.
full_name: Price, Louise S.
last_name: Price
- first_name: Sarah L.
full_name: Price, Sarah L.
last_name: Price
- first_name: Michael R.
full_name: Probert, Michael R.
last_name: Probert
- first_name: Angeles
full_name: Pulido, Angeles
last_name: Pulido
- first_name: Gunjan Rajendra
full_name: Ramteke, Gunjan Rajendra
last_name: Ramteke
- first_name: Atta Ur
full_name: Rehman, Atta Ur
last_name: Rehman
- first_name: Susan M.
full_name: Reutzel-Edens, Susan M.
last_name: Reutzel-Edens
- first_name: Jutta
full_name: Rogal, Jutta
last_name: Rogal
- first_name: Marta J.
full_name: Ross, Marta J.
last_name: Ross
- first_name: Adrian F.
full_name: Rumson, Adrian F.
last_name: Rumson
- first_name: Ghazala
full_name: Sadiq, Ghazala
last_name: Sadiq
- first_name: Zeinab M.
full_name: Saeed, Zeinab M.
last_name: Saeed
- first_name: Alireza
full_name: Salimi, Alireza
last_name: Salimi
- first_name: Matteo
full_name: Salvalaglio, Matteo
last_name: Salvalaglio
- first_name: Leticia
full_name: Sanders de Almada, Leticia
last_name: Sanders de Almada
- first_name: Kiran
full_name: Sasikumar, Kiran
last_name: Sasikumar
- first_name: Sivakumar
full_name: Sekharan, Sivakumar
last_name: Sekharan
- first_name: Cheng
full_name: Shang, Cheng
last_name: Shang
- first_name: Kenneth
full_name: Shankland, Kenneth
last_name: Shankland
- first_name: Kotaro
full_name: Shinohara, Kotaro
last_name: Shinohara
- first_name: Baimei
full_name: Shi, Baimei
last_name: Shi
- first_name: Xuekun
full_name: Shi, Xuekun
last_name: Shi
- first_name: A. Geoffrey
full_name: Skillman, A. Geoffrey
last_name: Skillman
- first_name: Hongxing
full_name: Song, Hongxing
last_name: Song
- first_name: Nina
full_name: Strasser, Nina
last_name: Strasser
- first_name: Jacco
full_name: van de Streek, Jacco
last_name: van de Streek
- first_name: Isaac J.
full_name: Sugden, Isaac J.
last_name: Sugden
- first_name: Guangxu
full_name: Sun, Guangxu
last_name: Sun
- first_name: Krzysztof
full_name: Szalewicz, Krzysztof
last_name: Szalewicz
- first_name: Benjamin I.
full_name: Tan, Benjamin I.
last_name: Tan
- first_name: Lu
full_name: Tan, Lu
last_name: Tan
- first_name: Frank
full_name: Tarczynski, Frank
last_name: Tarczynski
- first_name: Christopher R.
full_name: Taylor, Christopher R.
last_name: Taylor
- first_name: Alexandre
full_name: Tkatchenko, Alexandre
last_name: Tkatchenko
- first_name: Rithwik
full_name: Tom, Rithwik
last_name: Tom
- first_name: Mark E.
full_name: Tuckerman, Mark E.
last_name: Tuckerman
- first_name: Yohei
full_name: Utsumi, Yohei
last_name: Utsumi
- first_name: Leslie
full_name: Vogt-Maranto, Leslie
last_name: Vogt-Maranto
- first_name: Jake
full_name: Weatherston, Jake
last_name: Weatherston
- first_name: Luke J.
full_name: Wilkinson, Luke J.
last_name: Wilkinson
- first_name: Robert D.
full_name: Willacy, Robert D.
last_name: Willacy
- first_name: Lukasz
full_name: Wojtas, Lukasz
last_name: Wojtas
- first_name: Grahame R.
full_name: Woollam, Grahame R.
last_name: Woollam
- first_name: Zhuocen
full_name: Yang, Zhuocen
last_name: Yang
- first_name: Etsuo
full_name: Yonemochi, Etsuo
last_name: Yonemochi
- first_name: Xin
full_name: Yue, Xin
last_name: Yue
- first_name: Qun
full_name: Zeng, Qun
last_name: Zeng
- first_name: Yizu
full_name: Zhang, Yizu
last_name: Zhang
- first_name: Tian
full_name: Zhou, Tian
last_name: Zhou
- first_name: Yunfei
full_name: Zhou, Yunfei
last_name: Zhou
- first_name: Roman
full_name: Zubatyuk, Roman
last_name: Zubatyuk
- first_name: Jason C.
full_name: Cole, Jason C.
last_name: Cole
citation:
ama: 'Hunnisett LM, Nyman J, Francia N, et al. The seventh blind test of crystal
structure prediction: Structure generation methods. Acta Crystallographica
Section B. 2024;80(6):517-547. doi:10.1107/s2052520624007492'
apa: 'Hunnisett, L. M., Nyman, J., Francia, N., Abraham, N. S., Adjiman, C. S.,
Aitipamula, S., … Cole, J. C. (2024). The seventh blind test of crystal structure
prediction: Structure generation methods. Acta Crystallographica Section B.
International Union of Crystallography. https://doi.org/10.1107/s2052520624007492'
chicago: 'Hunnisett, Lily M., Jonas Nyman, Nicholas Francia, Nathan S. Abraham,
Claire S. Adjiman, Srinivasulu Aitipamula, Tamador Alkhidir, et al. “The Seventh
Blind Test of Crystal Structure Prediction: Structure Generation Methods.” Acta
Crystallographica Section B. International Union of Crystallography, 2024.
https://doi.org/10.1107/s2052520624007492.'
ieee: 'L. M. Hunnisett et al., “The seventh blind test of crystal structure
prediction: Structure generation methods,” Acta Crystallographica Section B,
vol. 80, no. 6. International Union of Crystallography, pp. 517–547, 2024.'
ista: 'Hunnisett LM et al. 2024. The seventh blind test of crystal structure prediction:
Structure generation methods. Acta Crystallographica Section B. 80(6), 517–547.'
mla: 'Hunnisett, Lily M., et al. “The Seventh Blind Test of Crystal Structure Prediction:
Structure Generation Methods.” Acta Crystallographica Section B, vol. 80,
no. 6, International Union of Crystallography, 2024, pp. 517–47, doi:10.1107/s2052520624007492.'
short: L.M. Hunnisett, J. Nyman, N. Francia, N.S. Abraham, C.S. Adjiman, S. Aitipamula,
T. Alkhidir, M. Almehairbi, A. Anelli, D.M. Anstine, J.E. Anthony, J.E. Arnold,
F. Bahrami, M.A. Bellucci, R.M. Bhardwaj, I. Bier, J.A. Bis, A.D. Boese, D.H.
Bowskill, J. Bramley, J.G. Brandenburg, D.E. Braun, P.W.V. Butler, J. Cadden,
S. Carino, E.J. Chan, C. Chang, B. Cheng, S.M. Clarke, S.J. Coles, R.I. Cooper,
R. Couch, R. Cuadrado, T. Darden, G.M. Day, H. Dietrich, Y. Ding, A. DiPasquale,
B. Dhokale, B.P. van Eijck, M.R.J. Elsegood, D. Firaha, W. Fu, K. Fukuzawa, J.
Glover, H. Goto, C. Greenwell, R. Guo, J. Harter, J. Helfferich, D.W.M. Hofmann,
J. Hoja, J. Hone, R. Hong, G. Hutchison, Y. Ikabata, O. Isayev, O. Ishaque, V.
Jain, Y. Jin, A. Jing, E.R. Johnson, I. Jones, K.V.J. Jose, E.A. Kabova, A. Keates,
P.F. Kelly, D. Khakimov, S. Konstantinopoulos, L.N. Kuleshova, H. Li, X. Lin,
A. List, C. Liu, Y.M. Liu, Z. Liu, Z.-P. Liu, J.W. Lubach, N. Marom, A.A. Maryewski,
H. Matsui, A. Mattei, R.A. Mayo, J.W. Melkumov, S. Mohamed, Z. Momenzadeh Abardeh,
H.S. Muddana, N. Nakayama, K.S. Nayal, M.A. Neumann, R. Nikhar, S. Obata, D. O’Connor,
A.R. Oganov, K. Okuwaki, A. Otero-de-la-Roza, C.C. Pantelides, S. Parkin, C.J.
Pickard, L. Pilia, T. Pivina, R. Podeszwa, A.J.A. Price, L.S. Price, S.L. Price,
M.R. Probert, A. Pulido, G.R. Ramteke, A.U. Rehman, S.M. Reutzel-Edens, J. Rogal,
M.J. Ross, A.F. Rumson, G. Sadiq, Z.M. Saeed, A. Salimi, M. Salvalaglio, L. Sanders
de Almada, K. Sasikumar, S. Sekharan, C. Shang, K. Shankland, K. Shinohara, B.
Shi, X. Shi, A.G. Skillman, H. Song, N. Strasser, J. van de Streek, I.J. Sugden,
G. Sun, K. Szalewicz, B.I. Tan, L. Tan, F. Tarczynski, C.R. Taylor, A. Tkatchenko,
R. Tom, M.E. Tuckerman, Y. Utsumi, L. Vogt-Maranto, J. Weatherston, L.J. Wilkinson,
R.D. Willacy, L. Wojtas, G.R. Woollam, Z. Yang, E. Yonemochi, X. Yue, Q. Zeng,
Y. Zhang, T. Zhou, Y. Zhou, R. Zubatyuk, J.C. Cole, Acta Crystallographica Section
B 80 (2024) 517–547.
das_tickbox: '0'
date_created: 2025-01-29T11:07:36Z
date_published: 2024-12-01T00:00:00Z
date_updated: 2026-08-07T10:46:53Z
day: '01'
ddc:
- '540'
department:
- _id: BiCh
doi: 10.1107/s2052520624007492
external_id:
isi:
- '001388840500003'
pmid:
- '39405196'
file:
- access_level: open_access
checksum: 33b8083e76564cc918182b0b0b2cc023
content_type: application/pdf
creator: dernst
date_created: 2025-01-29T11:09:48Z
date_updated: 2025-01-29T11:09:48Z
file_id: '18954'
file_name: 2024_ActaCrystallographicaB_Hunnisett.pdf
file_size: 10061037
relation: main_file
success: 1
file_date_updated: 2025-01-29T11:09:48Z
has_accepted_license: '1'
intvolume: ' 80'
isi: 1
issue: '6'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: 517-547
pmid: 1
publication: Acta Crystallographica Section B
publication_identifier:
issn:
- 2052-5206
publication_status: published
publisher: International Union of Crystallography
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: 'The seventh blind test of crystal structure prediction: Structure generation
methods'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 80
year: '2024'
...
---
_id: '15359'
abstract:
- lang: eng
text: Molecular dynamics (MD) simulations play an important role in understanding
and engineering heat transport properties of complex materials. An essential requirement
for reliably predicting heat transport properties is the use of accurate and efficient
interatomic potentials. Recently, machine-learned potentials (MLPs) have shown
great promise in providing the required accuracy for a broad range of materials.
In this mini-review and tutorial, we delve into the fundamentals of heat transport,
explore pertinent MD simulation methods, and survey the applications of MLPs in
MD simulations of heat transport. Furthermore, we provide a step-by-step tutorial
on developing MLPs for highly efficient and predictive heat transport simulations,
utilizing the neuroevolution potentials as implemented in the GPUMD package. Our
aim with this mini-review and tutorial is to empower researchers with valuable
insights into cutting-edge methodologies that can significantly enhance the accuracy
and efficiency of MD simulations for heat transport studies.
acknowledgement: H.D. is supported by the Science Foundation from the Education Department
of Liaoning Province (No. JYTMS20231613) and the Doctoral start-up Fund of Bohai
University (No. 0523bs008). P.Y. is supported by the Israel Academy of Sciences
and Humanities & Council for Higher Education Excellence Fellowship Program for
International Postdoctoral Researchers. K.X. and T.L. acknowledge support from the
National Key R&D Project from Ministry of Science and Technology of China (No. 2022YFA1203100),
the Research Grants Council of Hong Kong (No. AoE/P-701/20), and RGC GRF (No. 14220022).
Z.Z. acknowledges the European Union’s Horizon 2020 research and innovation programme
under the Marie Skłodowska-Curie Grant Agreement No. 101034413. S.X. acknowledges
financial support from the National Natural Science Foundation of China (NNSFC)
(Grant No. 12174276).
article_number: '161101'
article_processing_charge: Yes (in subscription journal)
article_type: review
arxiv: 1
author:
- first_name: Haikuan
full_name: Dong, Haikuan
last_name: Dong
- first_name: Yongbo
full_name: Shi, Yongbo
last_name: Shi
- first_name: Penghua
full_name: Ying, Penghua
last_name: Ying
- first_name: Ke
full_name: Xu, Ke
last_name: Xu
- first_name: Ting
full_name: Liang, Ting
last_name: Liang
- first_name: Yanzhou
full_name: Wang, Yanzhou
last_name: Wang
- first_name: Zezhu
full_name: Zeng, Zezhu
id: 54a2c730-803f-11ed-ab7e-95b29d2680e7
last_name: Zeng
orcid: 0000-0001-5126-4928
- first_name: Xin
full_name: Wu, Xin
last_name: Wu
- first_name: Wenjiang
full_name: Zhou, Wenjiang
last_name: Zhou
- first_name: Shiyun
full_name: Xiong, Shiyun
last_name: Xiong
- first_name: Shunda
full_name: Chen, Shunda
last_name: Chen
- first_name: Zheyong
full_name: Fan, Zheyong
last_name: Fan
citation:
ama: 'Dong H, Shi Y, Ying P, et al. Molecular dynamics simulations of heat transport
using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution
potentials. Journal of Applied Physics. 2024;135(16). doi:10.1063/5.0200833'
apa: 'Dong, H., Shi, Y., Ying, P., Xu, K., Liang, T., Wang, Y., … Fan, Z. (2024).
Molecular dynamics simulations of heat transport using machine-learned potentials:
A mini-review and tutorial on GPUMD with neuroevolution potentials. Journal
of Applied Physics. AIP Publishing. https://doi.org/10.1063/5.0200833'
chicago: 'Dong, Haikuan, Yongbo Shi, Penghua Ying, Ke Xu, Ting Liang, Yanzhou Wang,
Zezhu Zeng, et al. “Molecular Dynamics Simulations of Heat Transport Using Machine-Learned
Potentials: A Mini-Review and Tutorial on GPUMD with Neuroevolution Potentials.”
Journal of Applied Physics. AIP Publishing, 2024. https://doi.org/10.1063/5.0200833.'
ieee: 'H. Dong et al., “Molecular dynamics simulations of heat transport
using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution
potentials,” Journal of Applied Physics, vol. 135, no. 16. AIP Publishing,
2024.'
ista: 'Dong H, Shi Y, Ying P, Xu K, Liang T, Wang Y, Zeng Z, Wu X, Zhou W, Xiong
S, Chen S, Fan Z. 2024. Molecular dynamics simulations of heat transport using
machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution
potentials. Journal of Applied Physics. 135(16), 161101.'
mla: 'Dong, Haikuan, et al. “Molecular Dynamics Simulations of Heat Transport Using
Machine-Learned Potentials: A Mini-Review and Tutorial on GPUMD with Neuroevolution
Potentials.” Journal of Applied Physics, vol. 135, no. 16, 161101, AIP
Publishing, 2024, doi:10.1063/5.0200833.'
short: H. Dong, Y. Shi, P. Ying, K. Xu, T. Liang, Y. Wang, Z. Zeng, X. Wu, W. Zhou,
S. Xiong, S. Chen, Z. Fan, Journal of Applied Physics 135 (2024).
das_tickbox: '1'
dataavailabilitystatement: All the training and test datasets and the trained NEP
models for crystalline silicon are freely available at https://gitlab.com/brucefan1983/nep-data.
The training datasets, trained NEP, DP, and MTP models for graphene and MD input
files for reproducing Fig. 3 are freely available at https://github.com/hityingph/supporting-info/tree/main/Dong_GPUMD_Tutorial_2024.
date_created: 2024-05-05T22:01:03Z
date_published: 2024-04-28T00:00:00Z
date_updated: 2026-08-07T10:35:13Z
day: '28'
ddc:
- '530'
department:
- _id: BiCh
doi: 10.1063/5.0200833
ec_funded: 1
external_id:
arxiv:
- '2401.16249'
isi:
- '001215967400009'
file:
- access_level: open_access
checksum: 4d6abb3ebe058ce8eebf4fc7e9cdda0d
content_type: application/pdf
creator: dernst
date_created: 2024-05-13T08:07:44Z
date_updated: 2024-05-13T08:07:44Z
file_id: '15382'
file_name: 2024_JourApplPhysics_Dong.pdf
file_size: 3240613
relation: main_file
success: 1
file_date_updated: 2024-05-13T08:07:44Z
has_accepted_license: '1'
intvolume: ' 135'
isi: 1
issue: '16'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Preprint
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
publication: Journal of Applied Physics
publication_identifier:
eissn:
- 1089-7550
issn:
- 0021-8979
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://gitlab.com/brucefan1983/nep-data
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: 'Molecular dynamics simulations of heat transport using machine-learned potentials:
A mini-review and tutorial on GPUMD with neuroevolution potentials'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 135
year: '2024'
...