Hierarchical rank-evolving representation for physics-informed neural networks

Ruoyang Su, Xi-Le Zhao, Kun Li +1

Recently, tensor-based physics-informed neural networks (T-PINNs) have received increasing attention. However, existing T-PINNs still face a fundamental challenge: they mainly rely…