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Hideki Mori

College of Industrial Technology - Department of Mechanical Engineering

United States

  • College of Industrial Technology - Department of Mechanical Engineering

SCHOLARLY PAPERS

3

DOWNLOADS

179

TOTAL CITATIONS

1

Scholarly Papers (3)

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1.

Artificial Neural Network Molecular Mechanics of Iron Grain Boundaries

Number of pages: 14 Posted: 06 Jul 2021
Yoshinori Shiihara, Ryosuke Kanazawa, Daisuke Matsunaka, Ivan Lobzenko, Tomohito Tsuru, Masanori Kohyama and Hideki Mori
Toyota Technological Institute - Graduate School of Engineering, Toyota Technological Institute - Graduate School of Engineering, Shinshu University - Department of Mechanical Systems, Japan Atomic Energy Agency - Nuclear Engineering Research Center, Japan Atomic Energy Agency - Nuclear Engineering Research Center, National Institute of Advanced Industrial Science and Technology - Research Institute of Electrochemical Energy and College of Industrial Technology - Department of Mechanical Engineering
Downloads 81 (796,622)
Citation 1

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grain boundary, artificial neural network potential, uniaxial tension, iron, molecular mechanics

2.

Grain Size Effects on the Deformation of Α-Fe Nanopolycrystals: Massively Large-Scale Molecular Dynamics Simulations Using Machine Learning Interatomic Potential

Number of pages: 39 Posted: 21 Nov 2024
Kazuma Ito, Tatsuya Yokoi, Katsutoshi Hyodo and Hideki Mori
Nippon Steel Corporation, Nagoya University, Nippon Steel Corporation and College of Industrial Technology - Department of Mechanical Engineering
Downloads 79 (809,932)

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machine learning potential, molecular dynamics (MD), Hall-Petch effect, grain boundaries, nanocrystalline metal, steels

3.

Machine learning potentials for refractory high-entropy alloys applied to atomistic modeling of dislocation slip behavior

Number of pages: 14 Posted: 17 Nov 2025
Ivan Lobzenko, Hideki Mori and Tomohito Tsuru
Japan Atomic Energy Agency - Nuclear Engineering Research Center, College of Industrial Technology - Department of Mechanical Engineering and Japan Atomic Energy Agency - Nuclear Engineering Research Center
Downloads 19 (1,459,862)

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High-Entropy Alloys, machine-learning potentials, screw dislocation