Structure-preserving neural networks in data-driven rheological models
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Publication:6517283
arXiv2401.07121MaRDI QIDQ6517283
Andrea Poiatti, Marco Verani, N. Parolini, Julian Vene'
Has companion code repository: https://github.com/juu97/icnn-stokes
Non-Newtonian fluids (76A05) Finite element methods applied to problems in fluid mechanics (76M10) Existence, uniqueness, and regularity theory for incompressible viscous fluids (76D03) Approximation by arbitrary nonlinear expressions; widths and entropy (41A46)
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