Thermodynamically consistent physics-informed neural networks for hyperbolic systems
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Publication:2136443
DOI10.1016/j.jcp.2021.110754OpenAlexW3207890637WikidataQ115571336 ScholiaQ115571336MaRDI QIDQ2136443
Indu Manickam, Myoungkyu Lee, Ignacio Tomas, Nathaniel Trask, Mitchell A. Wood, Eric C. Cyr, Ravi G. Patel
Publication date: 10 May 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2012.05343
conservation lawsinverse problemsequation of statemachine learningshock hydrodynamicsphysics-informed neural networks
Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Hyperbolic equations and hyperbolic systems (35Lxx)
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