5 papers
TO-Master: an LLM-agent framework for automated topology optimization
Haoju Lin, Wenchang Zhang, Weipeng Xu +3
Topology optimization (TO) has become a mature computational design method, but using it still requires substantial manual effort in geometry preparation, mesh generation, boundary…
Physics-guided diffusion models for inverse design of disordered metamaterials
Ziyuan Xie, Weipeng Xu, Dazhi Zhao +6
Disordered metamaterials are promising for programming physical properties across diverse applications, yet their inverse design remains challenging due to the non-intuitive struct…
Style-constrained inverse design of microstructures with tailored mechanical properties using unconditional diffusion models
Weipeng Xu, Ziyuan Xie, Haoju Lin +3
Deep generative models, particularly denoising diffusion models, have achieved remarkable success in high-fidelity generation of architected microstructures with desired properties…
Solving contact problems using Fiber Monte Carlo
Xinyu Wang, Weipeng Xu, Tianju Xue
Computational modeling of contact is fundamental to many engineering applications, yet accurately and efficiently solving complex contact problems remains challenging. In this work…
DiffLiB: High-fidelity differentiable modeling of lithium-ion batteries and efficient gradient-based parameter identification
Weipeng Xu, Kaiqi Yang, Yuzhi Zhang +3
The physics-based Doyle-Fuller-Newman (DFN) model, widely adopted for its precise electrochemical modeling, stands out among various simulation models of lithium-ion batteries (LIB…