2 papers
cond-mat.mtrl-sci2026
Physics-grounded generative design of inherently stable, novel and controllable crystal structures
Zhilong Song, Qionghua Zhou, Chongyi Ling +3
Generative inverse design is reshaping the discovery of functional crystalline materials. Yet current generative models face challenges in simultaneously achieving stability, novel…
cond-mat.mtrl-sci2025
LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery
Zhilong Song, Qionghua Zhou, Chunjin Ren +3
Distilling underlying principles from data has historically driven scientific breakthroughs. However, conventional data-driven machine learning often produces complex models that l…