Comparison of neural closure models for discretised PDEs
DOI10.1016/j.camwa.2023.04.030arXiv2210.14675OpenAlexW4376958741MaRDI QIDQ6104834
Daan Crommelin, Barry Koren, Vlado Menkovski, B. Sanderse, Hugo Melchers
Publication date: 28 June 2023
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2210.14675
neural networksordinary differential equationspartial differential equationsmultiscale modellingclosure modelneural ODE
Learning and adaptive systems in artificial intelligence (68T05) Stability and convergence of numerical methods for ordinary differential equations (65L20) Numerical methods for initial value problems involving ordinary differential equations (65L05) Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations (65L06) Fluid mechanics (76-XX)
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