3 papers
cs.LG2026
EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator
Qianyi Chen, Tianrun Gao, Chenbo Jiang +1
Simulating collisions of deformable objects is a fundamental yet challenging task due to the complexity of modeling solid mechanics and multi-body interactions. Existing data-drive…
cs.LG2026
GenCP: Towards Generative Modeling Paradigm of Coupled Physics
Tianrun Gao, Haoren Zheng, Wenhao Deng +5
Real-world physical systems are inherently complex, often involving the coupling of multiple physics, making their simulation both highly valuable and challenging. Many mainstream…
cs.LG2025
Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming
Yingxue Zhao, Qianyi Chen, Haoran Li +5
In recent years, various artificial intelligence-based surrogate models have been proposed to provide rapid manufacturability predictions of material forming processes. However, tr…