Thermodynamically consistent physics-informed neural networks for hyperbolic systems-Reference-Cited by-同舟云学术

Thermodynamically consistent physics-informed neural networks for hyperbolic systems

Published:2022-01 Issue: Volume:449 Page:110754
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Patel Ravi G.,Manickam Indu^ORCID,Trask Nathaniel A.,Wood Mitchell A.,Lee Myoungkyu^ORCID,Tomas Ignacio,Cyr Eric C.

Funder

Office of Science

Basic Energy Sciences

National Nuclear Security Administration

Advanced Scientific Computing Research

Defense Systems Management College

U.S. Department of Energy

Chemical Sciences, Geosciences, and Biosciences Division

Publisher

Elsevier BV

Subject

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

Reference81 articles.

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