Takahashi Akira 高橋亮

Researcher Number	80822311
Affiliation (Current)	2023: 東京工業大学, 科学技術創成研究院, 助教
Affiliation (based on the past Project Information) *help	2019 – 2022: 東京工業大学, 科学技術創成研究院, 助教
Review Section/Research Field	Principal Investigator Basic Section 26010:Metallic material properties-related / Basic Section 26020:Inorganic materials and properties-related Except Principal Investigator Medium-sized Section 26:Materials engineering and related fields
Keywords	Principal Investigator 第一原理計算 / 機械学習 / マテリアルズインフォマティクス / 能動学習 / データベース / 材料データベース Except Principal Investigator 第一原理計算 / 機械学習 / 半導体 / ドーピング

自動第一原理計算と多変数ベイズ最適化を用いた無機材料探索システムの構築Principal Investigator
- Principal Investigator
  
  高橋亮
- Project Period (FY)
  2021 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 26020:Inorganic materials and properties-related
- Research Institution
  Tokyo Institute of Technology
ワイドギャップ半導体におけるケミカルドーピングの学理構築と新材料開拓
- Principal Investigator
  
  大場史康
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 26:Materials engineering and related fields
- Research Institution
  Tokyo Institute of Technology
Construction of general models for predicting material properties from first-principle calculations and active learningPrincipal Investigator
- Principal Investigator
  
  Takahashi Akira
- Project Period (FY)
  2019 – 2020
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 26010:Metallic material properties-related
- Research Institution
  Tokyo Institute of Technology

All 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Adaptive sampling methods via machine learning for materials screening2022
- Author(s)
  Takahashi Akira、Kumagai Yu、Aoki Hirotaka、Tamura Ryo、Oba Fumiyasu
- Journal Title
  
  Science and Technology of Advanced Materials: Methods
  
  Volume: 2 Pages: 55-66
- DOI
  10.1080/27660400.2022.2039573
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K14401
[Journal Article] Pointt defects in p-type transparent conductive CuMO2 (M = Al , Ga, In) from first principles2021
- Author(s)
  Gake Tomoya、Kumagai Yu、Takahashi Akira、Oba Fumiyasu
- Journal Title
  
  Physical Review Materials
  
  Volume: 5 Pages: 104602-104602
- DOI
  10.1103/physrevmaterials.5.104602
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20H00302, KAKENHI-PROJECT-19H02416, KAKENHI-PROJECT-20J23137
[Journal Article] Machine learning models for predicting the dielectric constants of oxides based on high-throughput first-principles calculations2020
- Author(s)
  Takahashi Akira、Kumagai Yu、Miyamoto Jun、Mochizuki Yasuhide、Oba Fumiyasu
- Journal Title
  
  Physical Review Materials
  
  Volume: 4 Pages: 103801-103801
- DOI
  10.1103/physrevmaterials.4.103801
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K21076, KAKENHI-PROJECT-20H00302, KAKENHI-PROJECT-19H02416, KAKENHI-PROJECT-18J21747, KAKENHI-PROJECT-19K15275
[Presentation] 半導体・誘電体材料を対象とした計算材料データベースの開発と応用2021
- Author(s)
  高橋亮
- Organizer
  第3回『多結晶材料情報学応用技術研究会』
- Invited
- Data Source
  KAKENHI-PROJECT-21K14401
[Presentation] ハイスループットスクリーニングのためのadaptive sampling手法の開発2021
- Author(s)
  高橋亮, 熊谷悠, 青木宏賢, 大場史康
- Organizer
  第31回日本MRS年次大会
- Data Source
  KAKENHI-PROJECT-21K14401
[Presentation] First-principles study of point defects in CuMO2 (M = Al, Ga, In)2021
- Author(s)
  Gake Tomoya、Kumagai Yu、Takahashi Akira、Oba Fumiyasu
- Organizer
  The 12th International Conference on the Science and Technology for Advanced Ceramics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00302
[Presentation] 計算材料データベースと機械学習を用いた緑色発光半導体の効率的探索手法の開発2021
- Author(s)
  高橋亮, 青木宏賢, 熊谷悠, 大場史康
- Organizer
  日本金属学会2021年春期(第168回)講演大会
- Data Source
  KAKENHI-PROJECT-19K15275
[Presentation] 計算材料データベースと機械学習を用いた緑色発光半導体の効率的探索手法の開発2021
- Author(s)
  高橋亮, 青木宏賢, 熊谷悠, 大場史康
- Organizer
  日本金属学会2021年春期(第168回)講演大会
- Data Source
  KAKENHI-PROJECT-21K14401
[Presentation] Point defects in CuMO2 (M = Al, Ga, In): A first-principles study2021
- Author(s)
  Gake Tomoya、Kumagai Yu、Takahashi Akira、Oba Fumiyasu
- Organizer
  Materials Research Meeting 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00302
[Presentation] 計算材料データベースと機械学習を用いた緑色発光半導体の探索2020
- Author(s)
  青木宏賢, 宮本惇, 高橋亮, 熊谷悠, 大場史康
- Organizer
  日本金属学会2020年春期講演大会
- Data Source
  KAKENHI-PROJECT-19K15275
[Presentation] Machine Learning Model for Predicting Dielectric Constants of Oxides2019
- Author(s)
  Akira Takahashi, Yu Kumagai, Jun Miyamoto, Yasuhide Mochizuki, Fumiyasu Oba
- Organizer
  The 4th International Symposium on Creation of Life Innovation Materials for Interdisciplinary and International Researcher Development (iLIM-4)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15275
[Presentation] Prediction of Material Properties from First Principles and Machine Learning2019
- Author(s)
  Akira Takahashi
- Organizer
  ICMASS2019 (iLIM-s session)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K15275
[Presentation] 酸化物誘電率計算データベースと機械学習による誘電率予測モデルの構築2019
- Author(s)
  高橋亮, 熊谷悠, 宮本惇, 望月泰英, 大場史康
- Organizer
  金属学会 2019年秋季大会
- Data Source
  KAKENHI-PROJECT-19K15275

1. 大場史康 (90378795)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
2. 野瀬嘉太郎 (00375106)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 熊谷悠

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results

Takahashi Akira 高橋 亮

Research Projects

Research Products

Co-Researchers

自動第一原理計算と多変数ベイズ最適化を用いた無機材料探索システムの構築Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

ワイドギャップ半導体におけるケミカルドーピングの学理構築と新材料開拓

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Construction of general models for predicting material properties from first-principle calculations and active learningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Adaptive sampling methods via machine learning for materials screening2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Pointt defects in p-type transparent conductive CuMO2 (M = Al , Ga, In) from first principles2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Machine learning models for predicting the dielectric constants of oxides based on high-throughput first-principles calculations2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] 半導体・誘電体材料を対象とした計算材料データベースの開発と応用2021

Author(s)

Organizer

Data Source

[Presentation] ハイスループットスクリーニングのためのadaptive sampling手法の開発2021

Author(s)

Organizer

Data Source

[Presentation] First-principles study of point defects in CuMO2 (M = Al, Ga, In)2021

Author(s)

Organizer

Data Source

[Presentation] 計算材料データベースと機械学習を用いた緑色発光半導体の効率的探索手法の開発2021

Author(s)

Organizer

Data Source

[Presentation] 計算材料データベースと機械学習を用いた緑色発光半導体の効率的探索手法の開発2021

Author(s)

Organizer

Data Source

[Presentation] Point defects in CuMO2 (M = Al, Ga, In): A first-principles study2021

Author(s)

Organizer

Data Source

[Presentation] 計算材料データベースと機械学習を用いた緑色発光半導体の探索2020

Author(s)

Organizer

Data Source

[Presentation] Machine Learning Model for Predicting Dielectric Constants of Oxides2019

Author(s)

Organizer

Data Source

[Presentation] Prediction of Material Properties from First Principles and Machine Learning2019

Author(s)

Organizer

Data Source

[Presentation] 酸化物誘電率計算データベースと機械学習による誘電率予測モデルの構築2019

Author(s)

Organizer

Data Source

Takahashi Akira 高橋亮