Anisotropic permeability tensor prediction from porous media microstructure: A physics-informed MaxViT CNN-Transformer framework.
The proposed physics-informed deep learning framework establishes transferable principles for scientific machine learning: visual pretraining generalizes across domain boundaries, physical constraints function best as differentiable architectural components, and progressive training guided by failure-mode analysis isol...