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dc.contributor.author
Carleo, Giuseppe
dc.contributor.author
Troyer, Matthias
dc.date.accessioned
2017-06-19T16:19:39Z
dc.date.available
2017-06-19T16:19:39Z
dc.date.issued
2017-02
dc.identifier.issn
0036-8075
dc.identifier.issn
1095-9203
dc.identifier.other
10.1126/science.aag2302
dc.identifier.uri
http://hdl.handle.net/20.500.11850/164680
dc.language.iso
en
dc.publisher
American Association for the Advancement of Science
dc.title
MANY-BODY PHYSICS Solving the quantum many-body problem with artificial neural networks
dc.type
Journal Article
ethz.journal.title
Science
ethz.journal.volume
355
ethz.journal.issue
6325
ethz.journal.abbreviated
Science
ethz.pages.start
602
ethz.pages.end
605
ethz.notes
.
ethz.identifier.wos
ethz.identifier.nebis
010840929
ethz.publication.place
Washington, D.C.
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02010 - Dep. Physik / Dep. of Physics::02511 - Institut für Theoretische Physik / Institute for Theoretical Physics::03622 - Troyer, Matthias (ehemalig) / Troyer, Matthias (former)
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02010 - Dep. Physik / Dep. of Physics::02511 - Institut für Theoretische Physik / Institute for Theoretical Physics::03622 - Troyer, Matthias (ehemalig) / Troyer, Matthias (former)
ethz.date.deposited
2017-06-19T16:20:42Z
ethz.source
ECIT
ethz.identifier.importid
imp593655513f8ec87402
ethz.ecitpid
pub:192172
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-08-03T08:46:49Z
ethz.rosetta.lastUpdated
2019-01-02T08:33:39Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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