4 papers
GMT: A Geometric Multigrid Transformer Solver for Microstructure Homogenization
Yu Xing, Yang Liu, Tianyang Xue +1
Lattice metamaterials enable lightweight, multifunctional structures, yet homogenization-based evaluation of their effective properties remains computationally expensive. Neural su…
AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design
Zhenyuan Zhao, Yu Xing, Tianyang Xue +3
Designing microstructures with coupled cross-physics objectives is a fundamental challenge where traditional topology optimization is often computationally prohibitive and deep gen…
MeshMosaic: Scaling Artist Mesh Generation via Local-to-Global Assembly
Rui Xu, Tianyang Xue, Qiujie Dong +9
Scaling artist-designed meshes to high triangle numbers remains challenging for autoregressive generative models. Existing transformer-based methods suffer from long-sequence bottl…
MIND: Microstructure INverse Design with Generative Hybrid Neural Representation
Tianyang Xue, Haochen Li, Longdu Liu +7
The inverse design of microstructures plays a pivotal role in optimizing metamaterials with specific, targeted physical properties. While traditional forward design methods are con…