A multiscale method for two-component, two-phase flow with a neural network surrogate

DOI10.1007/s42967-023-00349-8MaRDI QIDQ6593799

Christian Rohde, Jim Magiera

Publication date: 27 August 2024

Published in: Communications on Applied Mathematics and Computation (Search for Journal in Brave)

zbMATH Keywords

phase transitionmultiscale modelingdeep neural networksmoving-mesh methodshyperbolic balance laws for multi-component fluids

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Liquid-gas two-phase flows, bubbly flows (76T10) Applications to the sciences (65Z05)

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