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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Publication:2133505
DOI10.1016/j.jcp.2021.110698OpenAlexW3201460085MaRDI QIDQ2133505
Olaf Marxen, Zhiping Mao, Lu Lu, Tamer A. Zaki, George Em. Karniadakis
Publication date: 29 April 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2011.03349
Turbulence (76Fxx) Basic methods in fluid mechanics (76Mxx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx)
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Uses Software
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