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cs.LG2025
PEGNet: A Physics-Embedded Graph Network for Long-Term Stable Multiphysics Simulation
Can Yang, Zhenzhong Wang, Junyuan Liu +2
Accurate and efficient simulations of physical phenomena governed by partial differential equations (PDEs) are important for scientific and engineering progress. While traditional…
cs.LG2025
StruSR: Structure-Aware Symbolic Regression with Physics-Informed Taylor Guidance
Yunpeng Gong, Sihan Lan, Can Yang +2
Symbolic regression aims to find interpretable analytical expressions by searching over mathematical formula spaces to capture underlying system behavior, particularly in scientifi…
cs.LG2024
Adversarial Learning for Neural PDE Solvers with Sparse Data
Yunpeng Gong, Yongjie Hou, Zhenzhong Wang +2
Neural network solvers for partial differential equations (PDEs) have made significant progress, yet they continue to face challenges related to data scarcity and model robustness.…