MORI Hideki

モリヒデキ | MORI Hideki

Affiliation and department：

Research keywords (6)： Dislocation , Molecular dynamics , Machine learning atomic potential , 体心立方 , 格子欠陥 , 遷移状態理論

Research theme for competitive and other funds (4)：

2023 - 2026 An autonomous machine learning-based molecular dynamics method that utilizes first-principles atomic energy calculation
2022 - 2025 BCC合金が持つ特異な変形機構の起源の解明と力学機能設計
2021 - 2024 Atomistic modeling of dislocation dynamics with first principles accuracy
2017 - 2019 Investigation of mechanical properties of metal-one dimensional carbon nanotube composite by atomic simulation

Papers (21)：

Tomoaki SUZUDO, Kein-ichi EBIHARA, Tomohito TSURU, Hideki MORI. Large-Scale Atomistic Simulations of Cleavage in BCC Fe using Machine-Learning Potential. Journal of the Society of Materials Science, Japan. 2024. 73. 2. 129-135
Hideki MORI. Implementation of New Boundary Condition in LAMMPS for Energetics of Screw Dislocation in BCC Iron. Journal of the Society of Materials Science, Japan. 2024. 73. 2. 136-140
T. Suzudo, K. Ebihara, T. Tsuru, H. Mori. Emergence of crack tip plasticity in semi-brittle α-Fe. Journal of Applied Physics. 2024. 135. 7
Hideki Mori, Tomohito Tsuru, Masahiko Okumura, Daisuke Matsunaka, Yoshinori Shiihara, Mitsuhiro Itakura. Dynamic interaction between dislocations and obstacles in bcc iron based on atomic potentials derived using neural networks. Physical Review Materials. 2023. 7. 6
Ivan Lobzenko, Yoshinori Shiihara, Hideki Mori, Tomohito Tsuru. Influence of group IV element on basic mechanical properties of BCC medium-entropy alloys using machine-learning potentials. Computational Materials Science. 2023. 219

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MISC (13)：

MORI, Hideki. Consideration of Method of stress calculation during molecular dynamics simulation. BULLETIN OF COLLEGE OF INDUSTRIAL TECHNOLOGY. 2023. 56. 1. 77-79
森英喜. 第一原理計算による一般化積層欠陥エネルギー表面の評価-First principles study of generalized stacking fault energy surface of iron and aluminium. 産業技術短期大学誌 = Bulletin of College of Industrial Technology. 2020. 53. 93-95
Mori Hideki, Ozaki Taisuke. Construction of machine learning potential for investigation of dislocation dynamics in BCC iron. Meeting Abstracts of the Physical Society of Japan. 2019. 74.2. 2252-2252
MORI Hideki, OZAKI Taisuke. Interatomic potential for BCC iron based on first principles calculations. The Proceedings of The Computational Mechanics Conference. 2019. 2019.32. 117
森英喜. 第一原理計算を用いた金属の基礎的機械特性の予測的評価-First principles study of mechanical properties of cubic metals. 産業技術短期大学誌 = Bulletin of College of Industrial Technology. 2019. 52. 41-44

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