Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws, Part II: 2D Problems
DOI10.4208/cicp.oa-2023-0026OpenAlexW4388495835MaRDI QIDQ6143616
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Publication date: 5 January 2024
Published in: Communications in Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.4208/cicp.oa-2023-0026
conservation lawsneural networkdifferential equationmulti-fidelity optimizationphysics informed machine learningneural networks with local converging inputs
Shock waves and blast waves in fluid mechanics (76L05) Artificial intelligence (68T99) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99) Numerical methods for ordinary differential equations (65L99) Numerical methods for partial differential equations, boundary value problems (65N99)
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