Enforcing continuous symmetries in physics-informed neural network for solving forward and inverse problems of partial differential equations
DOI10.1016/j.jcp.2023.112415arXiv2206.09299MaRDI QIDQ6078492
No author found.
Publication date: 27 September 2023
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2206.09299
partial differential equationsLie symmetryinvariant surface conditionssymmetry-enhanced physics-informed neural network
Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Partial differential equations of mathematical physics and other areas of application (35Qxx)
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