钢筋
强化学习
人工智能
计算机科学
机器学习
材料科学
复合材料
作者
Elena Zamaraeva,Christopher M. Collins,Dmytro Antypov,Vladimir V. Gusev,Rahul Savani,Matthew S. Dyer,George R. Darling,Igor Potapov,Matthew J. Rosseinsky,Paul G. Spirakis
出处
期刊:Digital discovery
[The Royal Society of Chemistry]
日期:2023-01-01
卷期号:2 (6): 1831-1840
被引量:2
摘要
Reinforcement learning accelerates crystal structure prediction by learning a dynamic policy to maximise the reward for exploring new crystal structures.
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