Operator inference and physics-informed learning of low-dimensional models for incompressible flows
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Publication:2672189
DOI10.1553/etna_vol56s28zbMath1505.76072arXiv2010.06701OpenAlexW3092682976MaRDI QIDQ2672189
Igor Pontes Duff, Peter Benner, Pawan Goyal, Jan Heiland
Publication date: 8 June 2022
Published in: ETNA. Electronic Transactions on Numerical Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2010.06701
incompressible Navier-Stokes equationsproper orthogonal decompositionlid driven cavity flowoperator inferencecylinder wake flowscientific machine learning
Learning and adaptive systems in artificial intelligence (68T05) Navier-Stokes equations for incompressible viscous fluids (76D05) Wakes and jets (76D25) Basic methods in fluid mechanics (76M99)
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