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機械学習に基づく粒界近傍のエネルギー分布の予測
(Fast and scalable prediction of local energy at grain boundaries: Machine-learning based modeling of first-principles calculations)

田村 友幸, 小林 亮, 荒川竜一, 竹内 一郎, 椎原良典.
日本物理学会2017年秋季大会. 2017.

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    Fulltext and dataset(s) on Materials Data Repository (MDR)


      Created at: 2017-08-26 22:32:27 +0900Updated at: 2018-06-05 14:11:49 +0900

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