A Galerkin least-squares finite element method within deep neural networks for efficient simulation of generalized Newtonian flows in porous media

Journal of Computational and Applied Mathematics 2026

View at publisher
Authors: Hsueh-Chen Lee, Hyesuk Lee, H. Lee, H. Lee
DOI: 10.1016/j.cam.2025.117331
Cited by: 2
References: 31

Fields of Study & Subjects

Model Reduction and Neural Networks Advanced Numerical Methods in Computational Mathematics Lattice Boltzmann Simulation Studies

Publication details

Journal / source
Journal of Computational and Applied Mathematics
Publisher
Elsevier BV
Volume
482
Pages
117331–117331
Publication date
2 January 2026
Language
EN