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physics.comp-ph2026
HFS-TransNet: A Hybrid Fixed-Stress Transferable Neural Network for Quasi-Static Biot Poroelasticity
Zhequan Shen, Liyong Zhu, Mingchao Cai
The quasi-static Biot system, which governs coupled fluid-solid interactions in poroelastic media, poses significant computational challenges due to its strong coupling and multisc…
physics.comp-ph2025★ 2 cited
Matched Asymptotic Expansions-Based Transferable Neural Networks for Singular Perturbation Problems
Zhequan Shen, Lili Ju, Liyong Zhu
In this paper, by utilizing the theory of matched asymptotic expansions, an efficient and accurate neural network method, named as "MAE-TransNet", is developed for solving singular…