Machine-learning-based selective sampling procedure for identifying the low-energy region in a potential energy surface: A case study on proton conduction in oxides | 研究者総覧SAMURAI - 物質・材料研究機構 (NIMS)

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Machine-learning-based selective sampling procedure for identifying the low-energy region in a potential energy surface: A case study on proton conduction in oxides

Kazuaki Toyoura, Daisuke Hirano, Atsuto Seko, Motoki Shiga, Akihide Kuwabara, Masayuki Karasuyama, Kazuki Shitara, Ichiro Takeuchi.

Physical Review B 93 [5] 054112. 2016.

https://doi.org/10.1103/physrevb.93.054112

Open Access American Physical Society (APS) (Publisher)

NIMS著者

Materials Data Repository (MDR)上の本文・データセット

作成時刻: 2017-11-23 21:44:11 +0900更新時刻: 2024-03-30 00:17:34 +0900

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