• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Mori Hideki  森 英喜

ORCIDConnect your ORCID iD *help
Researcher Number 00456998
Other IDs
Affiliation (Current) 2025: 産業技術短期大学, その他部局等, 准教授
Affiliation (based on the past Project Information) *help 2022 – 2025: 産業技術短期大学, その他部局等, 准教授
2021 – 2022: 産業技術短期大学, その他部局等, 講師
2017 – 2018: 産業技術短期大学, その他部局等, 講師
Review Section/Research Field
Principal Investigator
Basic Section 26010:Metallic material properties-related / Composite materials/Surface and interface engineering
Except Principal Investigator
Basic Section 60100:Computational science-related / Basic Section 26010:Metallic material properties-related
Keywords
Principal Investigator
分子動力学 / オロワンループ / 原子モデリング / 高精度機械学習原子間ポテンシャル / 転位動力学 / 障害物 / BCC鉄 / 機械学習原子間ポテンシャル / 転位論 / 構造用複合材料 … More / 交差すべり / 転位ループ形成 / 加工硬化 / フラーレン / 分子動力学法 / 転位 / アルミニウム / カーボンナノチューブ / 複合材料 … More
Except Principal Investigator
機械学習ポテンシャル / ニューラルネットワーク / 原子エネルギー / 格子欠陥 / 第一原理計算 / 分子動力学法 / 機械学習 / ハイエントロピー合金 / 電子構造 / 転位 / 異方性 / 塑性変形 / BCC合金 Less
  • Research Projects

    (5 results)
  • Research Products

    (27 results)
  • Co-Researchers

    (7 People)
  •  量子論に基づいたスピン‐原子ダイナミクス連成機械学習ポテンシャル構築手法の確立Principal Investigator

    • Principal Investigator
      森 英喜
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 26010:Metallic material properties-related
    • Research Institution
      College of Industrial Technology
  •  An autonomous machine learning-based molecular dynamics method that utilizes first-principles atomic energy calculation

    • Principal Investigator
      椎原 良典
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60100:Computational science-related
    • Research Institution
      Toyota Technological Institute
  •  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

    • Principal Investigator
      都留 智仁
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 26010:Metallic material properties-related
    • Research Institution
      Japan Atomic Energy Agency
  •  Atomistic modeling of dislocation dynamics with first principles accuracyPrincipal Investigator

    • Principal Investigator
      Mori Hideki
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 26010:Metallic material properties-related
    • Research Institution
      College of Industrial Technology
  •  Investigation of mechanical properties of metal-one dimensional carbon nanotube composite by atomic simulationPrincipal Investigator

    • Principal Investigator
      Mori Hideki
    • Project Period (FY)
      2017 – 2018
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Composite materials/Surface and interface engineering
    • Research Institution
      College of Industrial Technology

All 2024 2023 2022 2021 2019 2018 2017

All Journal Article Presentation

  • [Journal Article] Emergence of crack tip plasticity in semi-brittle α-Fe2024

    • Author(s)
      Suzudo T.、Ebihara K.、Tsuru T.、Mori H.
    • Journal Title

      Journal of Applied Physics

      Volume: 135 Issue: 7

    • DOI

      10.1063/5.0178940

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K05069, KAKENHI-PROJECT-21K04631, KAKENHI-PROJECT-23K23030
  • [Journal Article] Implementation of New Boundary Condition in LAMMPS for Energetics of Screw Dislocation in BCC Iron2024

    • Author(s)
      森 英喜
    • Journal Title

      Journal of the Society of Materials Science, Japan

      Volume: 73 Issue: 2 Pages: 136-140

    • DOI

      10.2472/jsms.73.136

    • ISSN
      0514-5163, 1880-7488
    • Year and Date
      2024-02-15
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K04631
  • [Journal Article] Large-Scale Atomistic Simulations of Cleavage in BCC Fe using Machine-Learning Potential2024

    • Author(s)
      SUZUDO Tomoaki、EBIHARA Kein-ichi、TSURU Tomohito、MORI Hideki
    • Journal Title

      Journal of the Society of Materials Science, Japan

      Volume: 73 Issue: 2 Pages: 129-135

    • DOI

      10.2472/jsms.73.129

    • ISSN
      0514-5163, 1880-7488
    • Year and Date
      2024-02-15
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K05069, KAKENHI-PROJECT-21K04631, KAKENHI-PROJECT-23K23030
  • [Journal Article] Dynamic interaction between dislocations and obstacles in bcc iron based on atomic potentials derived using neural networks2023

    • Author(s)
      Mori Hideki、Tsuru Tomohito、Okumura Masahiko、Matsunaka Daisuke、Shiihara Yoshinori、Itakura Mitsuhiro
    • Journal Title

      Physical Review Materials

      Volume: 7 Issue: 6

    • DOI

      10.1103/physrevmaterials.7.063605

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K04631
  • [Journal Article] Implementation of Atomic Stress Calculations with Artificial Neural Network Potentials2023

    • Author(s)
      Lobzenko Ivan、Tsuru Tomohito、Mori Hideki、Matsunaka Daisuke、Shiihara Yoshinori
    • Journal Title

      MATERIALS TRANSACTIONS

      Volume: 64 Issue: 10 Pages: 2481-2488

    • DOI

      10.2320/matertrans.MT-M2023093

    • ISSN
      1345-9678, 1347-5320
    • Year and Date
      2023-10-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K04631, KAKENHI-PLANNED-22H05041, KAKENHI-PROJECT-23K23030
  • [Journal Article] Influence of group IV element on basic mechanical properties of BCC medium-entropy alloys using machine-learning potentials2023

    • Author(s)
      Lobzenko Ivan、Shiihara Yoshinori、Mori Hideki、Tsuru Tomohito
    • Journal Title

      Computational Materials Science

      Volume: 219 Pages: 112010-112010

    • DOI

      10.1016/j.commatsci.2023.112010

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-22H05041, KAKENHI-PROJECT-21K20418, KAKENHI-PROJECT-23K23030
  • [Journal Article] Temperature dependence of deformation and fracture in a beta titanium alloy of Ti-22V-4Al2023

    • Author(s)
      Yano Rei、Tanaka Masaki、Yamasaki Shigeto、Morikawa Tatsuya、Tsuru Tomohito
    • Journal Title

      Journal of Japan Institute of Light Metals

      Volume: 73 Issue: 10 Pages: 497-503

    • DOI

      10.2464/jilm.73.497

    • ISSN
      0451-5994, 1880-8018
    • Year and Date
      2023-10-15
    • Language
      Japanese
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K23030
  • [Journal Article] Cleavages along {110} in bcc iron emit dislocations from the curved crack fronts2022

    • Author(s)
      Suzudo Tomoaki、Ebihara Ken-ichi、Tsuru Tomohito、Mori Hideki
    • Journal Title

      Scientific Reports

      Volume: 12 Issue: 1 Pages: 19701-19701

    • DOI

      10.1038/s41598-022-24357-5

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K05069, KAKENHI-PROJECT-21K04631, KAKENHI-PROJECT-20H00359, KAKENHI-PROJECT-23K23030, KAKENHI-PLANNED-18H05453
  • [Journal Article] Artificial neural network molecular mechanics of iron grain boundaries2022

    • Author(s)
      Shiihara Yoshinori、Kanazawa Ryosuke、Matsunaka Daisuke、Lobzenko Ivan、Tsuru Tomohito、Kohyama Masanori、Mori Hideki
    • Journal Title

      Scripta Materialia

      Volume: 207 Pages: 114268-114268

    • DOI

      10.1016/j.scriptamat.2021.114268

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PUBLICLY-21H00108, KAKENHI-PUBLICLY-21H00154, KAKENHI-PROJECT-20K04175, KAKENHI-PROJECT-21K04631, KAKENHI-PROJECT-21K20418, KAKENHI-PLANNED-18H05453
  • [Presentation] Temperature Dependence of Fracture and Deformation in a β Titanium Alloy of Ti-22V-4Al2023

    • Author(s)
      Rei Yano, Shigeto Yamasaki, Tatsuya Morikawa, Tomohito Tsuru, Masaki Tanaka
    • Organizer
      20th International Microscopy Congress, IMC20 Satellite Symposium
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K23030
  • [Presentation] Investigation of mobility of screw dislocation in BCC iron by using neural network atomic potential2023

    • Author(s)
      Hideki Mori
    • Organizer
      The International Conference on PROCESSING & MANUFACTURING OF ADVANCED MATERIALS Processing, Fabrication, Properties, Applications
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K04631
  • [Presentation] Developing interatomic potentials for mechanical properties of multi-component alloys using machine learning technique2023

    • Author(s)
      ロブゼンコ イバン, 椎原良典, 森英喜, 松中大介, 都留智仁
    • Organizer
      日本金属学会2023年秋期(第173回)講演大会
    • Data Source
      KAKENHI-PROJECT-23K23030
  • [Presentation] BCC鉄におけるプラストンを経由したき裂先端塑性シミュレーション2023

    • Author(s)
      鈴土知明、海老原健一、都留智仁、森英喜
    • Organizer
      日本金属学会2023年秋期(第173回)講演大会
    • Data Source
      KAKENHI-PROJECT-23K23030
  • [Presentation] Atomic stress distribution near Al surfaces, calculated using artificial neural network interatomic potential2023

    • Author(s)
      Ivan Lobzenko, Yoshinori Shiihara, Hideki Mori, Daisuke Matsunaka, Tomohito Tsuru
    • Organizer
      THERMEC 2023: 12th International Conference on Advanced Materials
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K23030
  • [Presentation] β型チタン合金の転位易動度に及ぼすV添加の影響2023

    • Author(s)
      矢野伶,森川龍哉,山﨑重人,都留智仁,田中將己
    • Organizer
      日本金属学会2023年秋期(第173回)講演大会
    • Data Source
      KAKENHI-PROJECT-23K23030
  • [Presentation] 材料強度の解析および予測的評価に向けた高精度ニューラルネットワーク型原子間ポテンシャルの 開発と適用2022

    • Author(s)
      森英喜
    • Organizer
      第2回マルチスケールマテリアルモデリングシンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K23030
  • [Presentation] 機械学習ポテンシャルを用いた BCC 鉄における破壊の分子動力学シミュレーション2022

    • Author(s)
      鈴土知明,海老原健一,都留智仁,森英喜
    • Organizer
      日本金属学会2022年春期講演(第170回)大会
    • Data Source
      KAKENHI-PROJECT-21K04631
  • [Presentation] Investigation of interaction between dislocations and obstacles in BCC iron by using neural network atomic potential2022

    • Author(s)
      Hideki Mori, Mitsuhiro Itakura, Masahiko Okumura, Tomohito Tsuru, Yoshinori Shiihara, Daisuke Matsunaka
    • Organizer
      8th Asian Pacific Congress on Computational Mechanics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K04631
  • [Presentation] 材料強度の解析および予測的評価に向けた高精度ニューラルネットワーク型原子間ポテンシャルの開発と適用2022

    • Author(s)
      森英喜
    • Organizer
      第2回マルチスケールマテリアルモデリングシンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-21K04631
  • [Presentation] ニューラルネットワーク原子間ポテンシャルを用いた BCC鉄中の転位とボイドの相互作用解析2021

    • Author(s)
      森英喜,板倉充洋,奥村雅彦,椎原良典,松中大介
    • Organizer
      日本金属学会2021年秋期講演(第169回)大会
    • Data Source
      KAKENHI-PROJECT-21K04631
  • [Presentation] 一般化されたパイエルス-ナバロモデルによるアルミニウム中転位芯構造の解析2019

    • Author(s)
      森英喜
    • Organizer
      日本物理学会第74回年次大会
    • Data Source
      KAKENHI-PROJECT-17K14826
  • [Presentation] アルミニウム母材中における転位とカーボンナノ構造体との相互作用の解析2019

    • Author(s)
      森英喜、尾方成信
    • Organizer
      金属学会2019年春期講演大会
    • Data Source
      KAKENHI-PROJECT-17K14826
  • [Presentation] 深層ニューラルネットワークの枠組みを用いた原子間ポテンシャルによるアルミ中の転位構造の解析2018

    • Author(s)
      森英喜
    • Organizer
      日本金属学会2018年春期講演大会
    • Data Source
      KAKENHI-PROJECT-17K14826
  • [Presentation] アルミーカーボンナノチューブ複合材料における転位ーナノチューブ相互作用の原子論的解析2018

    • Author(s)
      森英喜、尾方成信
    • Organizer
      第23回計算工学講演会
    • Data Source
      KAKENHI-PROJECT-17K14826
  • [Presentation] Investigation of dislocation core structure in Aluminum by using a generalized Peierls-Nabarro model2018

    • Author(s)
      森英喜
    • Organizer
      MMM2018(Osaka)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K14826
  • [Presentation] A Deep neural network atomic potential for investigation of lattice defects in Aluminum2017

    • Author(s)
      Hideki Mori
    • Organizer
      Materials Research Society (MRS) fall meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K14826
  • [Presentation] 金属固体中での不均一エネルギー場における不純物等の拡散挙動の数値解析法の検討2017

    • Author(s)
      森英喜
    • Organizer
      日本金属学会2017年秋期講演大会
    • Data Source
      KAKENHI-PROJECT-17K14826
  • 1.  都留 智仁 (80455295)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 5 results
  • 2.  田中 將己 (40452809)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 3.  椎原 良典 (90466855)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 4.  松中 大介 (60403151)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  鈴土 知明
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 2 results
  • 6.  海老原 健一
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 2 results
  • 7.  Ivan Lobzenko
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi