Physics-constrained neural networks as multi-material Riemann solvers for compressible two-gas simulations
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference51 articles.
1. Sharp interface approaches and deep learning techniques for multiphase flows;Gibou;J. Comput. Phys.,2019
2. Ghost-fluid-based sharp interface methods for multi-material dynamics: A review;Xu;Commun. Comput. Phys.,2023
3. A higher-order generalized ghost fluid method for the poor for the three-dimensional two-phase flow computation of underwater implosions;Farhat;J. Comput. Phys.,2008
4. A second-order time-accurate implicit finite volume method with exact two-phase Riemann problems for compressible multi-phase fluid and fluid-structure problems;Main;J. Comput. Phys.,2014
5. Accuracies and conservation errors of various ghost fluid methods for multi-medium Riemann problem;Xu;J. Comput. Phys.,2011
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