Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
type: Item
instance of: scholarly article
title: Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
zbMATH Open document ID: 1440.60067
DOI: 10.1137/19M1260141
author: Dongkun Zhang
author: Ling Guo
author: George Em Karniadakis
published in: SIAM Journal on Scientific Computing
publication date: 2020-03-27T00:00:00Z
full work available at URL: https://arxiv.org/abs/1905.01205
Mathematics Subject Classification ID: 60H35
Mathematics Subject Classification ID: 34F05
Mathematics Subject Classification ID: 62M45
zbMATH DE Number: 7183619
zbMATH Keywords: scientific machine learning
zbMATH Keywords: data-driven modeling
zbMATH Keywords: uncertainty quantification
zbMATH Keywords: dynamical orthogonality
zbMATH Keywords: biorthogonality
zbMATH Keywords: inverse problems
Wikidata QID: Q114074253
describes a project that uses: TensorFlow
MaRDI profile type: Publication
arXiv ID: 1905.01205
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OpenAlex ID: W3011147100
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description: scientific article; zbMATH DE number 7183619