Digital Discovery, 2023, Advance Article
DOI: 10.1039/D3DD00063J, Paper
DOI: 10.1039/D3DD00063J, Paper
Open Access
This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.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
Reinforcement learning accelerates crystal structure prediction by learning a dynamic policy to maximise the reward for exploring new crystal structures.
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Reinforcement learning accelerates crystal structure prediction by learning a dynamic policy to maximise the reward for exploring new crystal structures.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry