Discontinuity computing using physics-informed neural networks
DOI10.1007/s10915-023-02412-1zbMath1530.65138arXiv2206.03864MaRDI QIDQ6184289
Tengchao Yu, Mengjuan Xiao, Lufeng Liu, Shengping Liu, Fansheng Xiong, Heng Yong, Li Liu, Hui Xie
Publication date: 5 January 2024
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2206.03864
Euler equationscompressible flowshock capturingphysics-informed neural networksdiscontinuity calculation
Artificial neural networks and deep learning (68T07) Shock waves and blast waves in fluid mechanics (76L05) First-order nonlinear hyperbolic equations (35L60) Existence, uniqueness, and regularity theory for compressible fluids and gas dynamics (76N10) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99)
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