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• W2797864456 startingPage "45" @default.
• W2797864456 abstract "Machine learning-based interatomic potentials, fitting energy landscapes “on the fly”, are emerging and promising tools for crystal structure prediction." @default.
• W2797864456 created "2018-04-24" @default.
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• W2797864456 date "2018-01-01" @default.
• W2797864456 modified "2023-10-17" @default.
• W2797864456 title "Data-driven learning and prediction of inorganic crystal structures" @default.
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• W2797864456 doi "https://doi.org/10.1039/c8fd00034d" @default.
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