4 citations · 8 across the 6 of their papers we have counts for
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cond-mat.mtrl-sci2024★ 4 cited
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…
cond-mat.mtrl-sci2024★ 1 cited
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.…
cond-mat.mtrl-sci2024★ 1 cited
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…