DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators-Reference-Cited by-同舟云学术

DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators

Published:2021-12 Issue: Volume:447 Page:110698
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Mao Zhiping,Lu Lu^ORCID,Marxen Olaf,Zaki Tamer A.,Karniadakis George Em

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modelling and Simulation,Numerical Analysis

Reference51 articles.

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5. Approximations of continuous functionals by neural networks with application to dynamic systems;Chen;IEEE Trans. Neural Netw.,1993

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