deep neural networks for accurate predictions of crystal stability
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ID: 157518
2018
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Abstract
Crystal stability prediction is of paramount importance for novel material discovery, with theoretical approaches alternative to expensive standard schemes highly desired. Here the authors develop a deep learning approach which, just using two descriptors, provides crystalline formation energies with very high accuracy.
| Reference Key |
ye2018naturedeep
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|---|---|
| Authors | ;Weike Ye;Chi Chen;Zhenbin Wang;Iek-Heng Chu;Shyue Ping Ong |
| Journal | educacao e sociedade |
| Year | 2018 |
| DOI |
10.1038/s41467-018-06322-x
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