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Fast and scalable prediction of local energy at grain boundaries: machine-learning based modeling of first-principles calculations
(粒界近傍の局所エネルギーの高速かつスケーラブルな予測: 第一原理計算の機械学習モデリング)

Tomoyuki Tamura, Masayuki Karasuyama, Ryo Kobayashi, Ryuichi Arakawa, Yoshinori Shiihara, Ichiro Takeuchi.

Modelling and Simulation in Materials Science and Engineering 25 [7] 075003. 2017.

https://doi.org/10.1088/1361-651x/aa8276

NIMS author(s)

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

Created at: 2017-09-16 21:09:37 +0900Updated at: 2024-04-01 22:37:03 +0900

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