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

2 citations · 4 across the 14 of their papers we have counts for

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cs.LG2024

GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing

Zhichao Wang, Xinhai Chen, Chunye Gong +5

Mesh smoothing methods can enhance mesh quality by eliminating distorted elements, leading to improved convergence in simulations. To balance the efficiency and robustness of tradi…

cs.GR2024

3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation

Jiaming Peng, Xinhai Chen, Jie Liu

Mesh generation is a crucial step in numerical simulations, significantly impacting simulation accuracy and efficiency. However, generating meshes remains time-consuming and requir…