Shimizu Koji 清水康司

Researcher Number	00838378
Other IDs
Affiliation (Current)	2025: 国立研究開発法人産業技術総合研究所, 材料・化学領域, 研究員
Affiliation (based on the past Project Information) *help	2024: 国立研究開発法人産業技術総合研究所, 材料・化学領域, 研究員 2019 – 2023: 東京大学, 大学院工学系研究科(工学部), 助教
Review Section/Research Field	Principal Investigator Science and Engineering / Basic Section 26020:Inorganic materials and properties-related / Basic Section 26010:Metallic material properties-related Except Principal Investigator Basic Section 28020:Nanostructural physics-related
Keywords	Principal Investigator 機械学習ポテンシャル / 第一原理計算 / イオンダイナミクス / 全固体電池 / 界面 / 電場 / 結晶化ガラス / リチウムイオン伝導 / 電極/固体電解質界面 / 全固体リチウム電池 … More / 機械学習 / 固体電解質 / 材料劣化 / 計算物理 / 荷電欠陥 / 分子動力学計算 / 量子効果 / アルミナ / アルミニウム / 水素 / 水素脆化 … More Except Principal Investigator 第一原理計算 / 機械学習ポテンシャル / 中距離秩序 / 構造-物性相関 / 欠陥構造 / 機械学習 / 点欠陥 / 熱伝導 / 電子フォノン相互作用 / 層状物質 / フォノン / 密度汎関数法 Less

Theoretical analysis of correlation between atomic structure and materials properties in complex disordered structures
- Principal Investigator
  
  渡邉聡
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 28020:Nanostructural physics-related
- Research Institution
  The University of Tokyo
電極-固体電解質接合界面で起こる物質移動現象解明に向けた機械学習ポテンシャル開発Principal Investigator
- Principal Investigator
  
  清水康司
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 26020:Inorganic materials and properties-related
- Research Institution
  National Institute of Advanced Industrial Science and Technology
蓄電固体材料におけるイオン挙動の機械学習ポテンシャル解析Principal Investigator
- Principal Investigator
  
  清水康司
- Project Period (FY)
  2022 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
- Review Section
  
  Science and Engineering
- Research Institution
  The University of Tokyo
Comprehensive Analysis of Hydrogen-Induced Material Degradation Mechanisms through Dynamic CalculationsPrincipal Investigator
- Principal Investigator
  
  Shimizu Koji
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 26010:Metallic material properties-related
- Research Institution
  The University of Tokyo
機械学習ポテンシャルによる界面近傍でのイオンダイナミクス計算Principal Investigator
- Principal Investigator
  
  清水康司
- Project Period (FY)
  2020 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
- Review Section
  
  Science and Engineering
- Research Institution
  The University of Tokyo
Theoretical analyses of phonon-related properties of layered materials and their local structures
- Principal Investigator
  
  Watanabe Satoshi
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 28020:Nanostructural physics-related
- Research Institution
  The University of Tokyo

All 2024 2023 2022 2021 2020

All Journal Article Presentation

[Journal Article] 機械学習ポテンシャルのアモルファス系への適用と荷電欠陥・電場応答に対する試み2024
- Author(s)
  安藤康伸、清水康司、渡邉聡
- Journal Title
  
  アンサンブル : 分子シミュレーション研究会会誌
  
  Volume: 26 Pages: 40-47
- Data Source
  KAKENHI-PUBLICLY-22H04607
[Journal Article] Prediction of Born effective charges using neural network to study ion migration under electric fields: applications to crystalline and amorphous Li 3 PO 42023
- Author(s)
 Shimizu Koji、Otsuka Ryuji、Hara Masahiro、Minamitani Emi、Watanabe Satoshi
- Journal Title
 
 Science and Technology of Advanced Materials: Methods
 
 Volume: 3 Issue: 1 Pages: 2253135-2253135
- DOI
 10.1080/27660400.2023.2253135
- Peer Reviewed / Open Access
- Data Source
 KAKENHI-PROJECT-20K15013, KAKENHI-PUBLICLY-22H04607, KAKENHI-PUBLICLY-23H04100
[Journal Article] Neural Network-Based Simulation Method to Examine Ion Behaviors under Electric Fields: Application to Ion Migration in Amorphous Li3PO42023
- Author(s)
 SHIMIZU Koji、OTSUKA Ryuji、WATANABE Satoshi
- Journal Title
 
 Journal of the Japan Society of Powder and Powder Metallurgy
 
 Volume: 70 Issue: 12 Pages: 486-492
- DOI
 10.2497/jjspm.23-00043
- ISSN
 0532-8799, 1880-9014
- Year and Date
 2023-12-15
- Language
 Japanese
- Peer Reviewed / Open Access
- Data Source
 KAKENHI-PUBLICLY-22H04607, KAKENHI-PUBLICLY-23H04100
[Journal Article] Development of Machine Learning Potentials to Analyze Phonon-Related Properties of Nitride Semiconductors2022
- Author(s)
  渡邉聡, 清水康司, 南谷英美
- Journal Title
  
  Journal of the Japanese Association for Crystal Growth
  
  Volume: 48 Issue: 4 Pages: n/a
- DOI
  10.19009/jjacg.48-4-05
- NAID
  130008154893
- ISSN
  0385-6275, 2187-8366
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19H02544
[Journal Article] Using neural network potentials to study defect formation and phonon properties of nitrogen vacancies with multiple charge states in GaN2022
- Author(s)
  Shimizu Koji、Dou Ying、Arguelles Elvis F.、Moriya Takumi、Minamitani Emi、Watanabe Satoshi
- Journal Title
  
  Physical Review B
  
  Volume: 106 Issue: 5 Pages: 054108-054108
- DOI
  10.1103/physrevb.106.054108
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15397, KAKENHI-PROJECT-20K15013, KAKENHI-PUBLICLY-21H05552, KAKENHI-PROJECT-19H02544, KAKENHI-PUBLICLY-22H04607
[Journal Article] Phase stability of Au-Li binary systems studied using neural network potential2021
- Author(s)
  Shimizu Koji、Arguelles Elvis F.、Li Wenwen、Ando Yasunobu、Minamitani Emi、Watanabe Satoshi
- Journal Title
  
  Physical Review B
  
  Volume: 103 Issue: 9 Pages: 094112-094112
- DOI
  10.1103/physrevb.103.094112
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15397, KAKENHI-PROJECT-20K15013, KAKENHI-PUBLICLY-20H05285, KAKENHI-PROJECT-19H02544
[Journal Article] Alloying Process at the Interface of Au-Li Studied Using Neural Network Potential2021
- Author(s)
  SHIMIZU Koji、ARGUELLES Elvis F.、LI Wenwen、ANDO Yasunobu、MINAMITANI Emi、WATANABE Satoshi
- Journal Title
  
  Vacuum and Surface Science
  
  Volume: 64 Issue: 8 Pages: 369-374
- DOI
  10.1380/vss.64.369
- NAID
  130008072753
- ISSN
  2433-5835, 2433-5843
- Year and Date
  2021-08-10
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PUBLICLY-20H05285, KAKENHI-PROJECT-19H02544, KAKENHI-PROJECT-20K15013
[Journal Article] Applications of Interatomic Potentials Using Neural Network in Materials Science2021
- Author(s)
  清水康司、渡邉聡
- Journal Title
  
  The Brain & Neural Networks
  
  Volume: 28 Issue: 1 Pages: 3-30
- DOI
  10.3902/jnns.28.3
- NAID
  130008021506
- ISSN
  1340-766X, 1883-0455
- Year and Date
  2021-03-05
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K15013, KAKENHI-PUBLICLY-20H05285, KAKENHI-PROJECT-19H02544
[Presentation] ニューラルネットワークポテンシャルによる部分結晶化Li3PS4でのイオン伝導挙動解析2024
- Author(s)
  清水康司、渡邉聡
- Organizer
  日本物理学会2024年春季大会
- Data Source
  KAKENHI-PUBLICLY-22H04607
[Presentation] High-performance quadratic spectral neighbor analysis potential for Al-H systems to investigate hydrogen embrittlement2024
- Author(s)
  Y. Liu, K. Shimizu, S. Watanabe
- Organizer
  日本物理学会2024年春季大会
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] Neural network potential study of complex solid systems2023
- Author(s)
  K. Shimizu, S. Watanabe
- Organizer
  日本表面真空学会学術講演会(招待講演)
- Invited
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] ニューラルネットワークを用いた電場印加下でのイオン挙動計算手法の開発：結晶およびアモルファスLi3PO4への応用2023
- Author(s)
  清水康司、大塚竜慈、渡邉聡
- Organizer
  第84回応用物理学会秋季学術講演会
- Data Source
  KAKENHI-PUBLICLY-22H04607
[Presentation] High-performance quadratic spectral neighbor analysis potential for Al-H systems to investigate hydrogen embrittlement2023
- Author(s)
  Y. Liu, K. Shimizu, S. Watanabe
- Organizer
  ASIAN-24 workshop
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] A Neural Network Simulation Method to Investigate Ion Behavior under External Electric Fields: Applications to Crystalline and Amorphous Li3PO42023
- Author(s)
  K. Shimizu, R. Otsuka, S. Watanabe
- Organizer
  MRM2023
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-22H04607
[Presentation] High-performance quadratic spectral neighbor analysis potential for Al-H systems to investigate hydrogen embrittlement2023
- Author(s)
  Y. Liu, K. Shimizu, S. Watanabe
- Organizer
  第84回応用物理学会秋季学術講演会
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] ニューラルネットワークを用いた電場中でのイオン挙動計算手法の開発：アモルファスリン酸リチウム中でのイオン伝導への応用2023
- Author(s)
  清水康司、大塚竜慈、渡邉聡
- Organizer
  粉体粉末冶金協会2023年度春季大会
- Invited
- Data Source
  KAKENHI-PUBLICLY-22H04607
[Presentation] Neural network potential study of complex solid systems2023
- Author(s)
  K. Shimizu, S. Watanabe
- Organizer
  日本表面真空学会学術講演会
- Invited
- Data Source
  KAKENHI-PUBLICLY-22H04607
[Presentation] Neural Network-based Simulation Method to Examine Ion Behavior Under External Electric Fields: Application to Ion Migration in Amorphous Li3PO42023
- Author(s)
  K. Shimizu, R. Otsuka, S. Watanabe
- Organizer
  International Conference on Materials for Advanced Technologies (ICMAT 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-22H04607
[Presentation] ニューラルネットワークポテンシャルを用いた薄膜WS2の原子構造の解析2023
- Author(s)
  大塚竜慈、清水康司、若林整、渡邉聡
- Organizer
  第70回応用物理学会春季学術講演会
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Analysis of Atom and Ion Behavior near Interfaces and Defects using Machine Learning Potentials2022
- Author(s)
  Koji Shimizu and Satoshi Watanabe
- Organizer
  Summit of Materials Science and Global Institute for Materials Research Tohoku User Meeting 2022
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Analysis of Atom and Ion Behavior near Interfaces and Defects using Machine Learning Potentials2022
- Author(s)
  K. Shimizu, S. Watanabe
- Organizer
  Summit of Materials Science and Global Institute for Materials Research Tohoku User Meeting 2022
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] Study on Ion Diffusion/Migration in Amorphous Materials using High-Dimensional Neural Network Potentials2022
- Author(s)
  Satoshi Watanabe, Junich Okamoto,Ryuji Otsuka, Koji Shimizu and Yasunobu Ando
- Organizer
  22nd International Vacuum Congress
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Study on Ion Migration in Amorphous Materials under electric fields using Neural Network Potentials2022
- Author(s)
  Satoshi Watanabe, Ryuji Otsuka, Koji Shimizu, and Yasunobu Ando
- Organizer
  Psi-k Conference 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Analysis of Atom and Ion Behavior near Interfaces and Defects using Machine Learning Potentials2022
- Author(s)
  K. Shimizu, S. Watanabe
- Organizer
  Summit of Materials Science and Global Institute for Materials Research Tohoku User Meeting 2022
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-20H05285
[Presentation] Investigation of Defect Behavior near the Interfaces of Au/Li3PO4 using Neural Network Potential2022
- Author(s)
  Koji Shimizu, Yasunobu Ando, Emi Minamitani, Satoshi Watanabe
- Organizer
  23rd International Conference on Solid State Ionics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] ボルン有効電荷を予測するニューラルネットワークの開発：電場印加下の分子動力学計算に向けて2022
- Author(s)
  大塚竜慈, 清水康司, 渡邉聡
- Organizer
  日本物理学会第77回年次大会
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Phonon and Point Defect Related Properties of GaN Studied using Neural Network Potential2022
- Author(s)
  Koji Shimizu, Emi Minamitani, Satoshi Watanabe
- Organizer
  Psi-k Conference 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] 記述子による調整を必要としないニューラルネットワークポテンシャルの開発2022
- Author(s)
  西尾健人, 清水康司, 渡邉聡
- Organizer
  日本物理学会第77回年次大会
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Phonon and Point Defect Related Properties of GaN Studied using Neural Network Potential2022
- Author(s)
  Koji Shimizu, Emi Minamitani, Satoshi Watanabe
- Organizer
  The 22nd International Vacuum Congress
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] Phonon and Point Defect Related Properties of GaN Studied using Neural Network Potential2022
- Author(s)
  Koji Shimizu, Emi Minamitani, and Satoshi Watanabe
- Organizer
  Psi-k Conference 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Phonon and Point Defect Related Properties of GaN Studied using Neural Network Potential2022
- Author(s)
  Koji Shimizu, Emi Minamitani, Satoshi Watanabe
- Organizer
  The 22nd International Vacuum Congress
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-22H04607
[Presentation] ニューラルネットワークポテンシャルを用いたH2O 含有アモルファス Ta2O5中のCu拡散の研究2022
- Author(s)
  岡本隼一, 清水康司, 渡邉聡
- Organizer
  2022年第69回応用物理学会春季学術講演会
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] 高次元ニューラルネットワークポテンシャルの多元系への応用に向けた改良法の比較検討2022
- Author(s)
  高原泉, 清水康司, 渡邉聡
- Organizer
  日本物理学会第77回年次大会
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Phonon and Point Defect Related Properties of GaN Studied using Neural Network Potential2022
- Author(s)
  Koji Shimizu, Emi Minamitani, and Satoshi Watanabe
- Organizer
  22nd International Vacuum Congress
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] 高次元ニューラルネットワークポテンシャルを用いたGaNの熱伝導率の欠陥密度依存性の解析2022
- Author(s)
  飛田倫太朗, 清水康司, 渡邉聡
- Organizer
  日本物理学会第77回年次大会
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Investigation of Defect Behavior near the Interfaces of Au(111)/Li3PO4 using Neural Network Potential2022
- Author(s)
  Koji Shimizu, Elvis F. Arguelles, Wenwen Li, Yasunobu Ando, Emi Minamitani, Satoshi Watanabe
- Organizer
  23rd International Conference on Solid State Ionics
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-22H04607
[Presentation] ニューラルネットワークポテンシャルによるAu/Li3PO4界面近傍での欠陥挙動解析2021
- Author(s)
  清水康司, 安藤康伸, 南谷英美, 渡邉聡
- Organizer
  2021年日本真空学会学術講演会
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] Alloying Process at the Interface of Au-Li Studied Using Neural Network Potential2021
- Author(s)
  Koji Shimizu, Elvis F. Arguelles, Wenwen Li, Yasunobu Ando, Emi Minamitani, and Satoshi Watanabe
- Organizer
  The 9th International Symposium on Surface Science
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Alloying Process at the Interface of Au-Li Studied Using Neural Network Potential2021
- Author(s)
  K. Shimizu, E.F. Arguelles, W. Li, Y. Ando, E. Minamitani, S. Watanabe
- Organizer
  The 9th International Symposium on Surface Science
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-20H05285
[Presentation] 機械学習ポテンシャルによる固体電解質および固体電解質-電極界面でのイオン挙動の解析2021
- Author(s)
  渡邉聡, 清水康司
- Organizer
  第1回計算イオニクス研究会（第78回固体イオニクス研究会）
- Invited
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Dynamical behaviors of ions in solids studied via neural network interatomic potentials2021
- Author(s)
  Satoshi Watanabe, Koji Shimizu and Emi Minamitani
- Organizer
  The 19th International Nanotech Symposium & Exhibition (NANO KOREA 2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Construction of neural network potential to investigate interface structures of metal/Li3PO42021
- Author(s)
  K. Shimizu, W. Liu, W. Li, Y. Ando, E. Minamitani, S. Watanabe
- Organizer
  MEMRISYS2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] Alloying Process at the Interface of Au-Li Studied Using Neural Network Potential2021
- Author(s)
  K. Shimizu, E.F. Arguelles, W. Li, Y. Ando, E. Minamitani, S. Watanabe
- Organizer
  The 9th International Symposium on Surface Science
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] ニューラルネットワークポテンシャルによるAu/Li3PO4界面近傍での欠陥挙動解析2021
- Author(s)
  清水康司, 安藤康伸, 南谷英美, 渡邉聡
- Organizer
  2021年日本真空学会学術講演会
- Data Source
  KAKENHI-PUBLICLY-20H05285
[Presentation] ニューラルネットワークポテンシャルによるAu/Li3PO4界面近傍での欠陥挙動解析2021
- Author(s)
  清水康司 , 安藤康伸, 南谷英美, 渡邉聡
- Organizer
  2021年日本真空表面学会学術講演会
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Construction of neural network potential to investigate interface structures of metal/Li3PO42021
- Author(s)
  K. Shimizu, W. Liu, W. Li, Y. Ando, E. Minamitani, and S. Watanabe
- Organizer
  4th International Conference on Memristive Materials, Devices & Systems (MEMRISYS 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Cu diffusion in amorphous-Ta2O5 containing H2O studied with high-dimensional neural network potential2021
- Author(s)
  Junichi Okamoto, Koji Shimizu and Satoshi Watanabe
- Organizer
  4th International Conference on Memristive Materials, Devices & Systems (MEMRISYS 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Study of InN/AlN Heterostructures with High-Dimensional Neural Network Potentials2021
- Author(s)
  Ying Dou, Koji Shimizu, Hiroshi Fujioka, Satoshi Watanabe
- Organizer
  第82回応用物理学会秋季学術講演会
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] Construction of neural network potential to investigate interface structures of metal/Li3PO42021
- Author(s)
  K. Shimizu, W. Liu, W. Li, Y. Ando, E. Minamitani, S. Watanabe
- Organizer
  MEMRISYS2021
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-20H05285
[Presentation] Study of thermal transport properties of GaN using high-dimensional neural network potentials2021
- Author(s)
  Satoshi Watanabe, Koji Shimizu and Emi Minamitani
- Organizer
  International Symposium on Wide Gap Semiconductor Growth, Process and Device Simulation (ISWGPDs) 2021
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] ニューラルネットワークポテンシャルによるAu(111)/Li3PO4界面近傍での欠陥挙動解析2020
- Author(s)
  清水康司, 李文文, 安藤康伸, 南谷英美, 渡邉聡
- Organizer
  第46回固体イオニクス討論会
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] ニューラルネットワークポテンシャルによる金-リチウム合金化過程の解析2020
- Author(s)
  清水康司、Elvis F. Arguelles, Wenwen Li, 安藤康伸、南谷英美、渡邉聡
- Organizer
  2020年日本表面真空学会学術講演会
- Data Source
  KAKENHI-PUBLICLY-20H05285
[Presentation] ニューラルネットワークポテンシャルによる金-リチウム合金系の解析2020
- Author(s)
  清水康司、Elvis F. Arguelles, Wenwen Li, 安藤康伸、南谷英美、渡邉聡
- Organizer
  日本物理学会2020年秋季大会
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] ニューラルネットワークポテンシャルによる金-リチウム合金系の解析2020
- Author(s)
  清水康司, Elvis F. Arguelles, Wenwen Li, 安藤康伸, 南谷英美, 渡邉聡
- Organizer
  日本物理学会2020年秋季大会
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] ニューラルネットワークポテンシャルによる金－リチウム合金化過程の解析2020
- Author(s)
  清水康司, E.F. Arguelles, 李文文, 安藤康伸, 南谷英美, 渡邉聡
- Organizer
  2020年日本表面真空学会学術講演会
- Data Source
  KAKENHI-PROJECT-19H02544
[Presentation] ニューラルネットワークポテンシャルによる金-リチウム合金系の解析2020
- Author(s)
  清水康司、Elvis F. Arguelles, Wenwen Li, 安藤康伸、南谷英美、渡邉聡
- Organizer
  日本物理学会2020年秋季大会
- Data Source
  KAKENHI-PUBLICLY-20H05285
[Presentation] ニューラルネットワークポテンシャルによる金-リチウム合金化過程の解析2020
- Author(s)
  清水康司、Elvis F. Arguelles, Wenwen Li, 安藤康伸、南谷英美、渡邉聡
- Organizer
  2020年日本表面真空学会学術講演会
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] ニューラルネットワークポテンシャルによるAu(111)/Li3PO4界面近傍での欠陥挙動解析2020
- Author(s)
  清水康司、李文文、安藤康伸、南谷英美、渡邉聡
- Organizer
  第46回固体イオニクス討論会
- Data Source
  KAKENHI-PUBLICLY-20H05285
[Presentation] ニューラルネットワークポテンシャルによるAu(111)/Li3PO4界面近傍での欠陥挙動解析2020
- Author(s)
  清水康司、李文文、安藤康伸、南谷英美、渡邉聡
- Organizer
  第46回固体イオニクス討論会
- Data Source
  KAKENHI-PROJECT-20K15013
[Presentation] 単層 ZrX2 (X=S, Se) におけるひずみ誘起電荷密度波の理論解析2020
- Author(s)
  マノープーボディン，清水康司, 渡邉聡, 南谷英美
- Organizer
  2020年日本表面真空学会学術講演会
- Data Source
  KAKENHI-PROJECT-19H02544

1. Watanabe Satoshi (00292772)

# of Collaborated Projects: 2 results

# of Collaborated Products: 24 results
2. 南谷英美 (00457003)

# of Collaborated Projects: 1 results

# of Collaborated Products: 12 results
3. Lu Augustin (70807792)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. ARGUELLES ELVIS

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results

Shimizu Koji 清水 康司

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Theoretical analysis of correlation between atomic structure and materials properties in complex disordered structures

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電極-固体電解質接合界面で起こる物質移動現象解明に向けた機械学習ポテンシャル開発Principal Investigator

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蓄電固体材料におけるイオン挙動の機械学習ポテンシャル解析Principal Investigator

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Comprehensive Analysis of Hydrogen-Induced Material Degradation Mechanisms through Dynamic CalculationsPrincipal Investigator

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機械学習ポテンシャルによる界面近傍でのイオンダイナミクス計算Principal Investigator

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Theoretical analyses of phonon-related properties of layered materials and their local structures

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[Journal Article] 機械学習ポテンシャルのアモルファス系への適用と荷電欠陥・電場応答に対する試み2024

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[Journal Article] Prediction of Born effective charges using neural network to study ion migration under electric fields: applications to crystalline and amorphous Li <sub>3</sub> PO <sub>4</sub>2023

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[Journal Article] Neural Network-Based Simulation Method to Examine Ion Behaviors under Electric Fields: Application to Ion Migration in Amorphous Li<sub>3</sub>PO<sub>4</sub>2023

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[Journal Article] Development of Machine Learning Potentials to Analyze Phonon-Related Properties of Nitride Semiconductors2022

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[Journal Article] Using neural network potentials to study defect formation and phonon properties of nitrogen vacancies with multiple charge states in GaN2022

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[Journal Article] Phase stability of Au-Li binary systems studied using neural network potential2021

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[Journal Article] Alloying Process at the Interface of Au-Li Studied Using Neural Network Potential2021

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Shimizu Koji 清水康司