Sakakima Hiroki 榊間大輝

… Alternative Names

榊間大輝サカキマヒロキ

Hiroki Sakakima 榊間大輝

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Researcher Number	50884194
Other IDs
Affiliation (Current)	2026: 東京大学, 大学院工学系研究科(工学部), 講師
Affiliation (based on the past Project Information) *help	2026: 東京大学, 大学院工学系研究科(工学部), 講師 2024: 東京大学, 大学院工学系研究科(工学部), 講師 2023: 東京大学, 大学院工学系研究科(工学部), 助教 2020 – 2021: 東京大学, 大学院工学系研究科(工学部), 助教
Review Section/Research Field	Principal Investigator Basic Section 18010:Mechanics of materials and materials-related / 0301:Mechanics of materials, production engineering, design engineering, fluid engineering, thermal engineering, mechanical dynamics, robotics, aerospace engineering, marine and maritime engineering, and related fields Except Principal Investigator Basic Section 18010:Mechanics of materials and materials-related
Keywords	Principal Investigator 機械学習 / 力学特性 / 分子動力学 / アモルファス / 結晶欠陥 / 転位動力学 / 転位 / 4H-SiC / ファンデルワールス力 / 積層欠陥 / SiC Except Principal Investigator ニューラルネットワーク / 分子動力学

パワー半導体材料の電子状態変化による力学的特性変化機構の理論的解明Principal Investigator
- Principal Investigator
  
  榊間大輝
- Project Period (FY)
  2026 – 2028
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 18010:Mechanics of materials and materials-related
- Research Institution
  The University of Tokyo
Development of an autonomous learning system for interatomic potentials using deep learning
- Principal Investigator
  
  泉聡志
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 18010:Mechanics of materials and materials-related
- Research Institution
  The University of Tokyo
Development of methods for estimating electrical and mechanical properties of amorphous thin films using machine learningPrincipal Investigator
- Principal Investigator
  
  榊間大輝
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 18010:Mechanics of materials and materials-related
- Research Institution
  The University of Tokyo
Development of dislocation dynamics simulator for 4H-SiC power devicesPrincipal Investigator
- Principal Investigator
  
  Hiroki Sakakima
- Project Period (FY)
  2020 – 2021
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  0301:Mechanics of materials, production engineering, design engineering, fluid engineering, thermal engineering, mechanical dynamics, robotics, aerospace engineering, marine and maritime engineering, and related fields
- Research Institution
  The University of Tokyo

All 2025 2024 2021 2020

All Journal Article Presentation

[Journal Article] Exploration of the mechanical properties of carbon-incorporated amorphous silica using a universal neural network potential2024
- Author(s)
  Sakakima Hiroki、Ogawa Keigo、Miyazaki Sakurako、Izumi Satoshi
- Journal Title
  
  Journal of Applied Physics
  
  Volume: 135 Issue: 8 Pages: 085104-085104
- DOI
  10.1063/5.0188192
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K13216
[Journal Article] Molecular Dynamics Study of the Effect of Composition on Elastic Properties of Silicon Oxynitride Films2024
- Author(s)
  Sakurako Miyazaki, Hiroki Sakakima, Keigo Ogawa, Satoshi Izumi
- Journal Title
  
  Japanese Journal of Applied Physics
  
  Volume: 93-11 Issue: 11 Pages: 115502-115502
- DOI
  10.35848/1347-4065/ad8996
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24K07212, KAKENHI-PROJECT-23K13216
[Journal Article] Comparative study of the effect of van der Waals interactions on stacking fault energies in SiC2021
- Author(s)
  Sakakima Hiroki、Hatano Asuka、Izumi Satoshi
- Journal Title
  
  Journal of Applied Physics
  
  Volume: 130 Issue: 21 Pages: 215701-215701
- DOI
  10.1063/5.0073402
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K22384
[Journal Article] Modeling the effect of mechanical stress on bipolar degradation in 4H-SiC power devices2020
- Author(s)
  Sakakima Hiroki、Goryu Akihiro、Kano Akira、Hatano Asuka、Hirohata Kenji、Izumi Satoshi
- Journal Title
  
  Journal of Applied Physics
  
  Volume: 128 Issue: 2 Pages: 025701-025701
- DOI
  10.1063/5.0010648
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K22384
[Presentation] 異なる酸素および窒素含有条件下におけるアモルファスSiO2中のカーボンクラスターの形成分解傾向の分子動力学解析2025
- Author(s)
  小川京悟，榊間大輝，宮崎桜子，泉聡志
- Organizer
  第72回応用物理学会春季学術講演会
- Data Source
  KAKENHI-PROJECT-23K13216
[Presentation] Exploration of the Composition-Structure-Property Relations of Amorphous Materials with PFP: Applications to elastic properties of SiOC and SiON systems2025
- Author(s)
  Hiroki Sakakima
- Organizer
  PFCC Webinar
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K13216
[Presentation] Exploration of the Effect of Composition on Elastic Properties of Silicon Oxynitride Films Using a Universal Neural Network Potential2024
- Author(s)
  Sakurako Miyazaki, Hiroki Sakakima, Keigo Ogawa, Satoshi Izumi
- Organizer
  the 14th Asia-Pacific Conference on Fracture and Strength (APCFS 2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K13216
[Presentation] 深層学習型汎用原子間ポテンシャルを用いたシリコン酸窒化膜の弾性特性に及ぼす組成の影響の探索2024
- Author(s)
  宮崎桜子、小川京悟、榊間大輝、泉聡志
- Organizer
  第71回応用物理学会春季学術講演会
- Data Source
  KAKENHI-PROJECT-23K13216
[Presentation] 汎用深層学習ポテンシャルを用いた炭素添加非晶質シリカの機械特性の探索2024
- Author(s)
  小川京悟，榊間大輝，宮崎桜子，泉聡志
- Organizer
  第9回マルチスケール材料力学シンポジウム
- Data Source
  KAKENHI-PROJECT-23K13216
[Presentation] Exploration of the Effect of Composition on Elastic Properties of Silicon Oxynitride Films Using a Universal Neural Network Potential2024
- Author(s)
  Sakurako Miyazaki, Hiroki Sakakima, Keigo Ogawa, Satoshi Izumi
- Organizer
  the 14th Asia-Pacific Conference on Fracture and Strength (APCFS 2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K07212
[Presentation] 変分オートエンコーダによる原子間ポテンシャル作成用データセットの自動生成2024
- Author(s)
  旭晃弘，榊間大輝，泉聡志
- Organizer
  第9回マルチスケール材料力学シンポジウム
- Data Source
  KAKENHI-PROJECT-24K07212
[Presentation] Clustering tendencies of C atoms in SiO2 matrix with different O-containing conditions: molecular dynamics study with a universal neural network potential2024
- Author(s)
  Hiroki Sakakima, Keigo Ogawa, Sakurako Miyazaki, Satoshi Izumi
- Organizer
  the 21st International Conference on Silicon Carbide and Related Materials (ICSCRM 2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K13216
[Presentation] 深層学習型汎用原子間ポテンシャルによる炭素，窒素含有シリコン酸化膜の弾性特性と原子ネットワーク構造の探索2024
- Author(s)
  榊間大輝，小川京悟，宮崎桜子，泉聡志
- Organizer
  第85回応用物理学会秋季学術講演会
- Invited
- Data Source
  KAKENHI-PROJECT-23K13216
[Presentation] 用原子間ポテンシャルを用いた炭素含有シリコン酸化膜の弾性特性と原子ネットワーク構造の探索2024
- Author(s)
  榊間大輝，小川京悟，宮崎桜子，泉聡志
- Organizer
  第85回応用物理学会秋季学術講演会
- Invited
- Data Source
  KAKENHI-PROJECT-24K07212
[Presentation] 汎用深層学習ポテンシャルに用いた炭素添加非晶質シリカの機械特性の探索2024
- Author(s)
  小川京悟，榊間大輝，宮崎桜子，泉聡志
- Organizer
  第9回マルチスケール材料力学シンポジウム
- Data Source
  KAKENHI-PROJECT-24K07212
[Presentation] 深層学習型汎用原子間ポテンシャルを用いた炭素含有シリコン酸化膜の弾性特性と原子ネットワーク構造の探索2024
- Author(s)
  榊間大輝、小川京悟、宮崎桜子、泉聡志
- Organizer
  第71回応用物理学会春季学術講演会
- Data Source
  KAKENHI-PROJECT-23K13216
[Presentation] Clustering tendencies of C atoms in SiO2 matrix with different O-containing conditions: molecular dynamics study with a universal neural network potential2024
- Author(s)
  Hiroki Sakakima, Keigo Ogawa, Sakurako Miyazaki, Satoshi Izumi
- Organizer
  the 21st International Conference on Silicon Carbide and Related Materials (ICSCRM 2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K07212
[Presentation] SiC結晶の積層欠陥エネルギーにファンデルワールス相互作用が与える影響の検討2021
- Author(s)
  榊間大輝，波田野明日可，泉聡志
- Organizer
  第82回応用物理学会秋季学術講演会
- Data Source
  KAKENHI-PROJECT-20K22384

1. 泉聡志 (30322069)

# of Collaborated Projects: 1 results

# of Collaborated Products: 6 results

Sakakima Hiroki 榊間 大輝

榊間 大輝 サカキマ ヒロキ

Hiroki Sakakima 榊間 大輝

Research Projects

Research Products

Co-Researchers

パワー半導体材料の電子状態変化による力学的特性変化機構の理論的解明Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of an autonomous learning system for interatomic potentials using deep learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of methods for estimating electrical and mechanical properties of amorphous thin films using machine learningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of dislocation dynamics simulator for 4H-SiC power devicesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Exploration of the mechanical properties of carbon-incorporated amorphous silica using a universal neural network potential2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Molecular Dynamics Study of the Effect of Composition on Elastic Properties of Silicon Oxynitride Films2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Comparative study of the effect of van der Waals interactions on stacking fault energies in SiC2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Modeling the effect of mechanical stress on bipolar degradation in 4H-SiC power devices2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] 異なる酸素および窒素含有条件下におけるアモルファスSiO2中のカーボンクラスターの形成分解傾向の分子動力学解析2025

Author(s)

Organizer

Data Source

[Presentation] Exploration of the Composition-Structure-Property Relations of Amorphous Materials with PFP: Applications to elastic properties of SiOC and SiON systems2025

Author(s)

Organizer

Data Source

[Presentation] Exploration of the Effect of Composition on Elastic Properties of Silicon Oxynitride Films Using a Universal Neural Network Potential2024

Author(s)

Organizer

Data Source

[Presentation] 深層学習型汎用原子間ポテンシャルを用いたシリコン酸窒化膜の弾性特性に及ぼす組成の影響の探索2024

Author(s)

Organizer

Data Source

[Presentation] 汎用深層学習ポテンシャルを用いた炭素添加非晶質シリカの機械特性の探索2024

Author(s)

Organizer

Data Source

[Presentation] Exploration of the Effect of Composition on Elastic Properties of Silicon Oxynitride Films Using a Universal Neural Network Potential2024

Author(s)

Organizer

Data Source

[Presentation] 変分オートエンコーダによる原子間ポテンシャル作成用データセットの自動生成2024

Author(s)

Organizer

Data Source

[Presentation] Clustering tendencies of C atoms in SiO2 matrix with different O-containing conditions: molecular dynamics study with a universal neural network potential2024

Author(s)

Sakakima Hiroki 榊間大輝

榊間大輝サカキマヒロキ

Hiroki Sakakima 榊間大輝