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cond-mat.mtrl-sci2025
Bridging Theory and Experiment in Materials Discovery: Machine-Learning-Assisted Prediction of Synthesizable Structures
Yu Xin, Peng Liu, Zhuohang Xie +6
Even though thermodynamic energy-based crystal structure prediction (CSP) has revolutionized materials discovery, the energy-driven CSP approaches often struggle to identify experi…
cond-mat.mtrl-sci2021★ 140 cited
A Symmetry-orientated Divide-and-Conquer Method for Crystal Structure Prediction
Xuecheng Shao, Jian Lv, Peng Liu +5
Crystal structure prediction has been a subject of topical interest, but remains a substantial challenge, especially for complex structures as it deals with the global minimization…