2 papers
cs.CE2025
ChemFM as a Scaling Law Guided Foundation Model Pre-trained on Informative Chemicals
Feiyang Cai, Katelin Zacour, Tianyu Zhu +6
Traditional AI methods often rely on task-specific model designs and training, which constrain both the scalability of model size and generalization across different tasks. Here, w…
cond-mat.soft2024
Physically Constrained 3D Diffusion for Inverse Design of Fiber-reinforced Polymer Composite Materials
Pei Xu, Yunpeng Wu, Srikanth Pilla +2
Designing fiber-reinforced polymer composites (FRPCs) with a tailored nonlinear stress-strain response can enable innovative applications across various industries. Currently, no e…