2 papers
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…
cond-mat.mtrl-sci2024
Is Large Language Model All You Need to Predict the Synthesizability and Precursors of Crystal Structures?
Zhilong Song, Shuaihua Lu, Minggang Ju +2
Accessing the synthesizability of crystal structures is pivotal for advancing the practical application of theoretical material structures designed by machine learning or high-thro…