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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

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

作成時刻: 2017-09-16 21:09:37 +0900 更新時刻: 2026-10-03 05:12:00 +0900

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