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dc.contributor.author
Lye, Kjetil
dc.contributor.author
Mishra, Siddhartha
dc.contributor.author
Ray, Deep
dc.date.accessioned
2019-09-19T14:40:46Z
dc.date.available
2019-09-19T09:22:39Z
dc.date.available
2019-09-19T14:40:46Z
dc.date.issued
2019-03
dc.identifier.uri
http://hdl.handle.net/20.500.11850/365127
dc.language.iso
en
en_US
dc.publisher
Seminar for Applied Mathematics, ETH Zurich
en_US
dc.subject
machine learning
en_US
dc.subject
uncertainty quantification
en_US
dc.subject
hyperbolic conservation laws
en_US
dc.title
Deep learning observables in computational fluid dynamics
en_US
dc.type
Report
ethz.journal.title
SAM Research Report
ethz.journal.volume
2019-13
en_US
ethz.size
57 p.
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02000 - Dep. Mathematik / Dep. of Mathematics::02501 - Seminar für Angewandte Mathematik / Seminar for Applied Mathematics::03851 - Mishra, Siddhartha / Mishra, Siddhartha
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02000 - Dep. Mathematik / Dep. of Mathematics::02501 - Seminar für Angewandte Mathematik / Seminar for Applied Mathematics::03851 - Mishra, Siddhartha / Mishra, Siddhartha
en_US
ethz.identifier.url
https://math.ethz.ch/sam/research/reports.html?id=817
ethz.date.deposited
2019-09-19T09:22:48Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2019-09-19T14:41:00Z
ethz.rosetta.lastUpdated
2019-09-19T14:41:00Z
ethz.rosetta.exportRequired
false
ethz.rosetta.versionExported
true
ethz.COinS
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