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20222026
most citedST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations

2 citations · 3 across the 6 of their papers we have counts for

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cs.AI2025

UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss

Zhichao Wang, Xinhai Chen, Qinglin Wang +5

Partial differential equations (PDEs) form the mathematical foundation for modeling physical systems in science and engineering, where numerical solutions demand rigorous accuracy-…