DC Field
Value
Language
dc.contributor.author
Egenlauf, Patrick
-
dc.contributor.author
Březinová, Iva
-
dc.contributor.author
Andergassen, Sabine
-
dc.contributor.author
Klopotek, Miriam
-
dc.date.accessioned
2026-04-27T12:00:55Z
-
dc.date.available
2026-04-27T12:00:55Z
-
dc.date.issued
2026
-
dc.identifier.citation
<div class="csl-bib-body"> <div class="csl-entry">Egenlauf, P., Březinová, I., Andergassen, S., &#38; Klopotek, M. (2026). Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations. <i>MACHINE LEARNING-SCIENCE AND TECHNOLOGY</i>, <i>7</i>(2), 025062. https://doi.org/10.1088/2632-2153/ae57f8</div> </div>
-
dc.identifier.issn
2632-2153
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/227799
-
dc.language.iso
en
-
dc.publisher
IOP PUBLISHING LTD
-
dc.relation.ispartof
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
-
dc.subject
machine learning
en
dc.subject
quantum dynamics
en
dc.subject
reduced density matrix
en
dc.title
Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations
en
dc.type
Article
en
dc.type
Artikel
de
dc.description.startpage
025062
-
dc.type.category
Original Research Article
-
tuw.container.volume
7
-
tuw.container.issue
2
-
tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.researchTopic.id
Q6
-
tuw.researchTopic.id
I4
-
tuw.researchTopic.name
Quantum Many-body Systems Physics
-
tuw.researchTopic.name
Information Systems Engineering
-
tuw.researchTopic.value
50
-
tuw.researchTopic.value
50
-
dcterms.isPartOf.title
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
-
tuw.publication.orgunit
E194-06 - Forschungsbereich Machine Learning
-
tuw.publication.orgunit
E138-02 - Forschungsbereich Correlations: Theory and Experiments
-
tuw.publication.orgunit
E136 - Institut für Theoretische Physik
-
tuw.publication.orgunit
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML)
-
tuw.publication.orgunit
E056-28 - Fachbereich Computational Sustainability
-
tuw.publisher.doi
10.1088/2632-2153/ae57f8
-
dc.date.onlinefirst
2026
-
dc.identifier.eissn
2632-2153
-
tuw.author.orcid
0009-0003-3411-9448
-
tuw.author.orcid
0000-0003-4876-2875
-
tuw.author.orcid
0000-0002-3128-6350
-
tuw.author.orcid
0000-0001-9174-1282
-
wb.sci
true
-
wb.sciencebranch
Informatik
-
wb.sciencebranch
Wirtschaftswissenschaften
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
5020
-
wb.sciencebranch.value
90
-
wb.sciencebranch.value
10
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item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
-
item.openairetype
research article
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item.grantfulltext
none
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item.languageiso639-1
en
-
crisitem.author.dept
E136 - Institut für Theoretische Physik
-
crisitem.author.dept
E194-06 - Forschungsbereich Machine Learning
-
crisitem.author.orcid
0009-0003-3411-9448
-
crisitem.author.orcid
0000-0003-4876-2875
-
crisitem.author.orcid
0000-0002-3128-6350
-
crisitem.author.orcid
0000-0001-9174-1282
-
crisitem.author.parentorg
E130 - Fakultät für Physik
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
-
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