DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators
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Title
DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators
Authors
Keywords
Deep learning, Operator approximation, DeepONet, Hypersonics, Chemically reacting flow, Data assimilation
Journal
JOURNAL OF COMPUTATIONAL PHYSICS
Volume 447, Issue -, Pages 110698
Publisher
Elsevier BV
Online
2021-09-13
DOI
10.1016/j.jcp.2021.110698
References
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