フォロー
Kazuma Ito
Kazuma Ito
Nippon Steel Corporation
確認したメール アドレス: jp.nipponsteel.com - ホームページ
タイトル
引用先
引用先
First-principles study on the grain boundary embrittlement of bcc-Fe by Mn segregation
K Ito, H Sawada, S Ogata
Physical Review Materials 3 (1), 013609, 2019
382019
First-principles analysis of the grain boundary segregation of transition metal alloying elements in γFe
K Ito, H Sawada
Computational Materials Science 210, 111050, 2022
212022
Electronic origin of grain boundary segregation of Al, Si, P, and S in bcc-Fe: combined analysis of ab initio local energy and crystal orbital Hamilton population
K Ito, H Sawada, S Tanaka, S Ogata, M Kohyama
Modelling and Simulation in Materials Science and Engineering 29 (1), 015001, 2020
202020
Theoretical prediction of grain boundary segregation using nano-polycrystalline grain boundary model
K Ito, H Sawada, S Ogata
Materials Transactions 62 (5), 575-581, 2021
142021
Analysis of grain-boundary segregation of hydrogen in bcc-Fe polycrystals via a nano-polycrystalline grain-boundary model
K Ito, Y Tanaka, K Tsutsui, H Sawada
Computational Materials Science 225, 112196, 2023
102023
Effect of Mo addition on hydrogen segregation at α-Fe grain boundaries: A first-principles investigation of the mechanism by which Mo addition improves hydrogen embrittlement …
K Ito, Y Tanaka, K Tsutsui, T Omura
Computational Materials Science 218, 111951, 2023
102023
First-principles computational tensile test of γ-Fe grain boundaries considering the effect of magnetism: Electronic origin of grain boundary embrittlement due to Zn segregation
K Ito, Y Tanaka, T Mitsunobu, T Kohtake, K Tsutsui, H Sawada
Physical Review Materials 6 (5), 053604, 2022
102022
Application of Grain Boundary Segregation Prediction Using a Nano-Polycrystalline Grain Boundary Model to Transition Metal Solute Elements: Prediction of Grain Boundary …
K Ito, Y Tanaka, H Sawada
Materials Transactions 63 (3), 269-277, 2022
92022
Analysis of grain boundary embrittlement by Cu and Sn in paramagnetic by first-principles computational tensile test
K Ito, T Mitsunobu, Y Ishiguro, Y Kohigashi, K Tsutsui
Physical Review Materials 6 (9), 093603, 2022
72022
Effects of Cr, Mn, and Fe on the hydrogen solubility of Ni in high-pressure hydrogen environments and their electronic origins: An experimental and first-principles study
K Ito, M Yamamura, T Omura, J Yamabe, H Matsunaga
International Journal of Hydrogen Energy 50, 148-164, 2024
22024
Hydrogen trapping and precipitation of alloy carbides in molybdenum added steels and vanadium added steels
S Taniguchi, M Kameya, Y Kobayashi, K Ito, S Yamasaki
ISIJ International, ISIJINT-2024-031, 2024
22024
鉄鋼分野における深層学習技術の活用の現状
筒井, 和政, 難波, 時永, 木原, 研吾, 平田, 松尾, 翔平, 伊藤, 一真
鉄と鋼 109 (6), 464-489, 2023
12023
Significant effect of magnetism on grain boundary segregation in γ-Fe: A systematic comparison of grain boundary segregation in nonmagnetic and paramagnetic γ-Fe by first …
K Ito
Materials Today Communications 38, 107849, 2024
2024
鉄鋼材料における粒界偏析の計算科学的解析
伊藤一真
まてりあ 62 (10), 664-672, 2023
2023
Current Trends on Deep Learning Techniques Applied in Iron and Steel Making Field: A Review
K Tsuisui, T Namba, K Kihara, J Hirata, S Matsuo, K Ito
TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN 109 (6 …, 2023
2023
No. 6 (June)
T Hama, K Tsutsui, T Namba, K Kihara, J Hirata, S Matsuo, K Ito
Tetsu-to-Hagané 109, 2023
2023
Mo 鋼と V 鋼における合金炭化物の水素トラップと析出
谷口俊介, 亀谷美百合, 小林由起子, 伊藤一真, 山ア真吾
鉄と鋼 109 (5), 438-449, 2023
2023
ナノ多結晶粒界モデルを用いた粒界偏析予測の遷移金属溶質元素への適用: bcc-Fe 多結晶における Mn 及び Cr の粒界偏析予測
伊藤一真, 田中悠太, 澤田英明
日本金属学会誌 85 (12), 421-429, 2021
2021
ナノ多結晶粒界モデルを用いた粒界偏析予測
伊藤一真, 澤田英明, 尾方成信
日本金属学会誌 84 (7), 237-243, 2020
2020
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