A simple framework for contrastive learning phases of matter. - Xiao-Qi Han; Sheng-Song Xu; Zhen Feng; Rong-Qiang He; Zhong-Yi Lu (CoRR, 2022)

AI-accelerated discovery of high critical temperature superconductors. - Xiao-Qi Han; Zhenfeng Ouyang; Peng-Jie Guo; Hao Sun; Ze-Feng Gao; Zhong-Yi Lu (CoRR, 2024)

AI-driven inverse design of materials: Past, present and future. - Xiao-Qi Han; Xin-De Wang; Meng-Yuan Xu; Zhen Feng; Bo-Wen Yao; Peng-Jie Guo; Ze-Feng Gao; Zhong-Yi Lu (CoRR, 2024)

Strong phonon-mediated high temperature superconductivity in Li2AuH6 under ambient pressure. - Zhenfeng Ouyang; Bo-Wen Yao; Xiao-Qi Han; Peng-Jie Guo; Ze-Feng Gao; Zhong-Yi Lu (CoRR, 2025)

InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional Materials. - Xiao-Qi Han; Peng-Jie Guo; Ze-Feng Gao; Hao Sun; Zhong-Yi Lu (CoRR, 2025)

HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction. - Xiao-Qi Han; Ze-Feng Gao; Xin-De Wang; Zhenfeng Ouyang; Peng-Jie Guo; Zhong-Yi Lu (CoRR, 2025)