A hybrid inference system for improved curvature estimation in the level-set method using machine learning
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Publication:2671404
DOI10.1016/j.jcp.2022.111291OpenAlexW3170562055MaRDI QIDQ2671404
Frédéric Gibou, Luis Ángel Larios-Cárdenas
Publication date: 3 June 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2104.02951
Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Computer science (68-XX)
Related Items (4)
Error-correcting neural networks for two-dimensional curvature computation in the level-set method ⋮ Deep learning of interfacial curvature: a symmetry-preserving approach for the volume of fluid method ⋮ Machine learning algorithms for three-dimensional mean-curvature computation in the level-set method ⋮ Error-correcting neural networks for semi-Lagrangian advection in the level-set method
Uses Software
Cites Work
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