4 citations · 8 across the 4 of their papers we have counts for
4 papers
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…
T2MAT (text-to-materials): A universal agent for generating material structures with goal properties from a single sentence
Zhilong Song, Shuaihua Lu, Qionghua Zhou +1
Artificial Intelligence-Generated Content (AIGC)-content autonomously produced by AI systems without human intervention-has significantly boosted efficiency across various fields.…
Inverse Design of Promising Alloys for Electrocatalytic CO Reduction via Generative Graph Neural Networks Combined with Bird Swarm Algorithm
Zhilong Song, Linfeng Fan, Shuaihua Lu +3
Directly generating material structures with optimal properties is a long-standing goal in material design. One of the fundamental challenges lies in how to overcome the limitation…
On the Uncertainty Estimates of Equivariant-Neural-Network-Ensembles Interatomic Potentials
Shuaihua Lu, Luca M. Ghiringhelli, Christian Carbogno +2
Machine-learning (ML) interatomic potentials (IPs) trained on first-principles datasets are becoming increasingly popular since they promise to treat larger system sizes and longer…