11 citations · 11 across the 3 of their papers we have counts for
4 papers
Interpretable physics-informed retrieval-augmented generation language model for end-to-end inorganic crystal synthesis planning
Wei-Jian Jiang, Ye-Nan Sha, Hui Guo +7
Synthesis planning for inorganic materials requires predicting both synthesizability and viable routes by linking microscopic thermodynamic stability with macroscopic synthesis met…
Latent Genetic Algorithm for Crystal Structure Prediction
Kaixin Zheng, Wanjian Yin, Hongyu Yu +1
Predicting crystal structures requires navigating rugged energy landscapes in which favorable local motifs must be inherited across candidates with incompatible cells, densities, a…
Discovery of Interpretable Physical Laws in Materials via Language-Model-Guided Symbolic Regression
Yifeng Guan, Chuyi Liu, Dongzhan Zhou +4
Discovering interpretable physical laws from high-dimensional data is a fundamental challenge in scientific research. Traditional methods, such as symbolic regression, often produc…
Global optimization in the discrete and variable-dimension conformational space: The case of crystal with the strongest atomic cohesion
Guanjian Cheng, Xin-Gao Gong, Wan-Jian Yin
We introduce a computational method to optimize target physical properties in the full configuration space regarding atomic composition, chemical stoichiometry, and crystal structu…