Estimating model inadequacy in ordinary differential equations with physics-informed neural networks
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Title
Estimating model inadequacy in ordinary differential equations with physics-informed neural networks
Authors
Keywords
Physics-informed machine learning, Scientific machine learning, Uncertainty quantification, Recurrent neural networks, Directed graph models
Journal
COMPUTERS & STRUCTURES
Volume 245, Issue -, Pages 106458
Publisher
Elsevier BV
Online
2020-12-16
DOI
10.1016/j.compstruc.2020.106458
References
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