DC Field
Value
Language
dc.contributor.author
Carnazza, Francesco
-
dc.contributor.author
Carollo, Federico
-
dc.contributor.author
Andergassen, Sabine
-
dc.contributor.author
Martius, Georg
-
dc.contributor.author
Klopotek, Miriam
-
dc.contributor.author
Lesanovsky, Igor
-
dc.date.accessioned
2024-10-22T07:51:13Z
-
dc.date.available
2024-10-22T07:51:13Z
-
dc.date.issued
2024-10-07
-
dc.identifier.citation
<div class="csl-bib-body"> <div class="csl-entry">Carnazza, F., Carollo, F., Andergassen, S., Martius, G., Klopotek, M., &#38; Lesanovsky, I. (2024). Machine learning stochastic differential equations for the evolution of order parameters of classical many-body systems in and out of equilibrium. <i>MACHINE LEARNING-SCIENCE AND TECHNOLOGY</i>, <i>5</i>(4), Article 045002. https://doi.org/10.1088/2632-2153/ad7ad7</div> </div>
-
dc.identifier.issn
2632-2153
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/202603
-
dc.language.iso
en
-
dc.publisher
IOP PUBLISHING LTD
-
dc.relation.ispartof
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
-
dc.subject
Machine learning
en
dc.subject
stochastic differential equations
en
dc.title
Machine learning stochastic differential equations for the evolution of order parameters of classical many-body systems in and out of equilibrium
en
dc.type
Article
en
dc.type
Artikel
de
dc.type.category
Original Research Article
-
tuw.container.volume
5
-
tuw.container.issue
4
-
tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
wb.publication.intCoWork
International Co-publication
-
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.publisher.doi
10.1088/2632-2153/ad7ad7
-
dc.date.onlinefirst
2024
-
dc.identifier.articleid
045002
-
dc.identifier.eissn
2632-2153
-
dc.description.numberOfPages
16
-
tuw.author.orcid
0000-0002-1458-8701
-
tuw.author.orcid
0000-0002-6961-7143
-
tuw.author.orcid
0000-0002-3128-6350
-
tuw.author.orcid
0000-0002-8963-7627
-
tuw.author.orcid
0000-0001-9174-1282
-
tuw.author.orcid
0000-0001-9660-9467
-
wb.sci
true
-
wb.sciencebranch
Informatik
-
wb.sciencebranch
Physik, Astronomie
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1030
-
wb.sciencebranch.value
50
-
wb.sciencebranch.value
50
-
item.languageiso639-1
en
-
item.openairetype
research article
-
item.grantfulltext
none
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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crisitem.author.dept
University of Tübingen
-
crisitem.author.dept
University of Tübingen
-
crisitem.author.dept
E194-06 - Forschungsbereich Machine Learning
-
crisitem.author.dept
Max Planck Institute for Intelligent Systems
-
crisitem.author.dept
University of Stuttgart
-
crisitem.author.dept
University of Tübingen
-
crisitem.author.orcid
0000-0002-1458-8701
-
crisitem.author.orcid
0000-0002-6961-7143
-
crisitem.author.orcid
0000-0002-3128-6350
-
crisitem.author.orcid
0000-0002-8963-7627
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crisitem.author.orcid
0000-0001-9174-1282
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crisitem.author.orcid
0000-0001-9660-9467
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
-
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