Preprint
Aug 2026
Hierarchical rank-evolving representation for physics-informed neural networks
Extensive numerical experiments demonstrate that HRE-PINNs consistently outperform existing state-of-the-art approaches in terms of accuracy and are practically applicable to real-world problems.
Ruoyang Su, Xi-Le Zhao, Kun Li et al.
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