|
Publication List - Akira Takahashi (56 entries)
Journal Paper
-
Akira Takahashi,
Kei Terayama,
Yu Kumagai,
Ryo Tamura,
Fumiyasu Oba.
Fully autonomous materials screening methodology combining first-principles calculations, machine learning and high-performance computing system,
Science and Technology of Advanced Materials: Methods,
Taylor & Francis,
Vol. 3,
No. 1,
2261834,
Oct. 2023.
Official location
-
Takanori Ishii,
Akira Takahashi,
Teruya Nagafuji,
Fumiyasu Oba.
Oxygen vacancies in α-(AlxGa1−x)2O3 alloys: a first-principles study,
Applied Physics Express,
vol. 16,
pp. 061002,
June 2023.
-
T. Gake,
Y. Kumagai,
A. Takahashi,
H. Hiramatsu,
F. Oba.
Defect formation and carrier compensation in layered oxychalcogenide La2CdO2Se2: an insight from first principles,
Journal of Materials Chemistry C,
vol. 10,
pp. 16828,
Oct. 2022.
Official location
-
Akira Takahashi,
Yu Kumagai,
Hirotaka Aoki,
Ryo Tamura,
Fumiyasu Oba.
Adaptive sampling methods via machine learning for materials screening,
Science and Technology of Advanced Materials: Methods,
Vol. 2,
Issue 1,
p. 55-66,
Apr. 2022.
Official location
-
Y. Kumagai,
N. Tsunoda,
A. Takahashi,
F. Oba.
Insights into oxygen vacancies from high-throughput first-principles calculations,
Physical Review Materials,
vol. 5,
pp. 123803,
Dec. 2021.
Official location
-
T. Gake,
Y. Kumagai,
A. Takahashi,
F. Oba.
Point defects in p-type transparent conductive CuMO2 (M = Al, Ga, In) from first principles,
Physical Review Materials,
vol. 5,
pp. 104602,
Oct. 2021.
Official location
-
Takashi Harumoto,
Ji Shi,
Yoshio Nakamura,
Akira Takahashi.
Origin of large magnetostriction in palladium cobalt and palladium nickel alloys: Strong pseudo-dipole interactions between palladium–cobalt and palladium–nickel atomic pairs,
Appl. Phys. Lett.,
118,
102401,
Mar. 2021.
Official location
-
Akira Takahashi,
Yu Kumagai,
Jun Miyamoto,
Yasuhide Mochizuki,
Fumiyasu Oba.
Machine learning models for predicting the dielectric constants of oxides based on high-throughput first-principles calculations,
Physical Review Materials,
American Physical Society,
Vol. 4,
Issue 10,
p. 103801,
Oct. 2020.
Official location
-
Yasuhide Mochizuki,
Ha-Jun Sung,
Akira Takahashi,
Yu Kumagai,
Fumiyasu Oba.
Theoretical exploration of mixed-anion antiperovskite semiconductors M3XN (M = Mg, Ca, Sr, Ba; X = P, As, Sb, Bi),
Physical Review Materials,
Vol. 4,
No. 4,
pp. 044601,
Apr. 2020.
-
Naoki Tsunoda,
Yu Kumagai,
Akira Takahashi,
Fumiyasu Oba.
Electrically Benign Defect Behavior in Zinc Tin Nitride Revealed from First Principles,
Physical Review Applied,
American Physical Society,
vol. 10,
pp. 011001-1-6,
July 2018.
Official location
-
Akira Takahashi,
Atsuto Seko,
Isao Tanaka.
Linearized machine-learning interatomic potentials for non-magnetic elemental metals: Limitation of pairwise descriptors and trend of predictive power,
The Journal of Chemical Physics,
Vol. 148,
No. 23,
p. 234106,
June 2018.
Official location
Domestic Conference (Reviewed)
International Conference (Not reviewed / Unknown)
-
Takanori Ishii,
Akira Takahashi,
Teruya Nagafuji,
Fumiyasu Oba.
Systematic computational analysis of oxygen vacancies in α-(AlxGa1-x)2O3 alloys,
STAC-D2MatE 2024,
Feb. 2024.
-
Teruya Nagafuji,
Tomoya Gake,
Soungmin Bae,
Akira Takahashi,
Fumiyasu Oba.
Clarification of point defect formation in La2SnO2S3 by first-principles calculations,
STAC-D2MatE 2024,
Feb. 2024.
-
Takanori Ishii,
Akira Takahashi,
Teruya Nagafuji,
Fumiyasu Oba.
Systematic analysis of oxygen vacancies in α-(AlxGa1-x )2O3 alloys using first-principles calculations,
MRM2023/IUMRS-ICA2023,
Dec. 2023.
-
Teruya Nagafuji,
Tomoya Gake,
Akira Takahashi,
Soungmin Bae,
Fumiyasu Oba.
Defect formation and carrier compensation in La2SnO2S3: a first-principles study,
MRM2023/IUMRS-ICA2023,
Dec. 2023.
-
Ryosuke Nakagawa,
Akira Takahashi,
Nobuya Sato,
Fumiyasu Oba.
Local environment analysis of oxides using clustering method,
The 3rd International Symposium on Design & Engineering by Joint Inverse Innovation for Materials Architecture,
Oct. 2023.
-
Akira Takahashi,
Fumiyasu Oba.
Autonomous Materials Screening Using High-Throughput Theoretical Calculation and Machine Learning,
The 3rd International Symposium on Design & Engineering by Joint Inverse Innovation for Materials Architecture (DEJI2MA-3),
Oct. 2023.
-
Teruya Nagafuji,
Tomoya Gake,
Soungmin Bae,
Akira Takahashi,
Fumiyasu Oba.
First-principles study of point defect formation in La2SnO2S3,
The 3rd International Symposium on Design & Engineering by Joint Inverse Innovation for Materials Architecture,
Oct. 2023.
-
Takanori Ishii,
Akira Takahashi,
Teruya Nagafuji,
Fumiyasu Oba.
First-principles calculations of oxygen vacancies in α-(AlxGa1-x )2O3,
The 3rd International Symposium on Design & Engineering by Joint Inverse Innovation for Materials Architecture,
Oct. 2023.
-
Yuki Hirata,
Kanta Yoshii,
Justyna Kulczyk-Malecka,
Yagya Regmi,
Akira Takahashi,
Hiroki Akasaka,
Naoto Ohtake.
Magnetron sputter deposited hexagonal boron nitride nanosheets for use of proton exchange membrane fuel cells,
33rd International Conference on Diamond and Carbon Materials,
Sept. 2023.
-
T. Ishii,
A. Takahashi,
F. Oba.
Theoretical Analysis of Similarity in Band Structure between Binary and Ternary Oxides,
Visual-JW 2022 & DEJI2MA-2,
Oct. 2022.
-
Akira Takahashi,
Fumiyasu Oba.
Autonomous Materials Exploration System via High-Throughput Calculations and Machine learning,
Visual-JW 2022 & DEJI2MA-2,
Oct. 2022.
-
Akira Takahashi.
Development of efficient material exploration method by high-throughput first-principles calculations and active learning technique,
The 5th International Union of Materials Research Societies International Conference of Young Researchers on Advanced Materials (IUMRS-ICYRAM 2022),
Aug. 2022.
-
Y. Kumagai,
A. Takahashi,
F. Oba.
Automation of first-principles point defect calculations for non-metallic materials,
Materials Research Meeting 2021,
Dec. 2021.
-
T. Gake,
Y. Kumagai,
A. Takahashi,
F. Oba.
Point Defects in CuMO2 (M = Al, Ga, In): A First-Principles Study,
Materials Research Meeting 2021,
Dec. 2021.
-
T. Gake,
Y. Kumagai,
A. Takahashi,
F. Oba.
First-principles study of point defects in CuMO2 (M = Al, Ga, In),
The 12th International Conference on the Science and Technology for Advanced Ceramics (STAC-12),
July 2021.
-
Yu Kumagai,
Akira Takahashi,
Fumiyasu Oba.
High-Throughput Calculations and Machine-Learning Prediction of Oxygen Vacancy Formation Energies,
Materials Research Meeting 2019,
Dec. 2019.
-
Akira Takahashi,
Yu Kumagai,
Jun Miyamoto,
Fumiyasu Oba.
Prediction of Material Properties from First Principles and Machine Learning,
ICMASS2019 (iLIM-s session),
Nov. 2019.
-
Akira Takahashi,
Yu Kumagai,
Jun Miyamoto,
Yasuhide Mochizuki,
Fumiyasu Oba.
Machine Learning Model for Predicting Dielectric Constants of Oxides,
The 4th International Symposium on Creation of Life Innovation Materials for Interdisciplinary and International Researcher Development (iLIM-4),
Oct. 2019.
-
Yasuhide Mochizuki,
Ha-Jun Sung,
Akira Takahashi,
Yu Kumagai,
Fumiyasu Oba.
Ground-State Structure Search for Pnictide Antiperovskites,
The 22nd Asian Workshop on First-Principles Electronic Structure Calculations,
Oct. 2019.
Domestic Conference (Not reviewed / Unknown)
-
Ryosuke Nakagawa,
Akira Takahashi,
佐藤暢哉,
王天威,
Fumiyasu Oba.
Bi系酸化物における局所構造・物性の統計解析,
日本金属学会2024年春期(第174回)講演大会,
Mar. 2024.
-
Akira Takahashi,
Keita Kono,
Yu Kumagai,
Fumiyasu Oba.
転移学習を用いた自律的計算材料スクリーニング手法の開発,
日本金属学会2024年春期(第174回)講演大会,
Mar. 2024.
-
Akira Takahashi.
材料探索に向けた大規模計算材料データベースの構築と活用の手法,
接合科学共同利用・共同研究拠点 先導的重点課題「特異な構造を内包したマイクロ接合部の高機能・高信頼化に関する研究」第2回勉強会 〜接合部の組織と界面理解に向けた計算科学・データ科学の活用〜,
Mar. 2024.
-
Teruya Nagafuji,
Tomoya Gake,
裵星旻,
Akira Takahashi,
Fumiyasu Oba.
La2SnO2S3における点欠陥及び自己束縛電子に関する第一原理計算,
日本金属学会2024年春期(第174回)講演大会,
Mar. 2024.
-
Ryosuke Nakagawa,
Akira Takahashi,
佐藤暢哉,
王天威,
Fumiyasu Oba.
Bi系酸化物の局所構造・電子状態の系統的理論解析,
第62回セラミックス基礎科学討論会,
Jan. 2024.
-
Teruya Nagafuji,
Tomoya Gake,
裵星旻,
Akira Takahashi,
Fumiyasu Oba.
層状オキシサルファイドLa2SnO2S3における点欠陥・キャリア生成に関する第一原理計算,
第62回セラミックス基礎科学討論会,
Jan. 2024.
-
Teruya Nagafuji,
Tomoya Gake,
裵星旻,
Akira Takahashi,
Fumiyasu Oba.
第一原理計算を用いたLa2SnO2S3におけるキャリア生成・補償機構の解明,
第43回電子材料研究討論会,
Nov. 2023.
-
Keita Kono,
Akira Takahashi,
Yu Kumagai,
Fumiyasu Oba.
転移学習とベイズ最適化を用いた材料探索手法の開発,
第33回日本MRS年次大会,
Nov. 2023.
-
Takanori Ishii,
Akira Takahashi,
Teruya Nagafuji,
Fumiyasu Oba.
第一原理計算によるα-(AlxGa1-x )2O3固溶体の酸素空孔の系統的解析,
第43回電子材料研究討論会,
Nov. 2023.
-
Akira Takahashi.
ハイスループット計算技術と 機械学習を⽤いた⾃律的材料探索,
日本セラミックス協会第194 回電子セラミック・プロセス研究会,
June 2023.
-
Takanori Ishii,
Akira Takahashi,
Teruya Nagafuji,
Fumiyasu Oba.
第一原理計算によるα-(AlxGa1-x)2O3固溶体の電子状態の系統的解析,
日本金属学会2023年春期(第172回)講演大会,
Mar. 2023.
-
Takanori Ishii,
Akira Takahashi,
Teruya Nagafuji,
Fumiyasu Oba.
α-(AlxGa1-x)2O3固溶体の電子状態の第一原理計算,
日本セラミックス協会2023年年会,
Mar. 2023.
-
Akira Takahashi,
Yu Kumagai,
Fumiyasu Oba.
機械学習を用いた自律的計算材料スクリーニングシステムの開発,
金属学会2023年春季大会,
2023.
-
Akira Takahashi.
計算材料スクリーニング×データ科学,
KISTEC教育講座2022「MI×データ科学」コース 〜データ科学を利用した材料研究の概括〜,
Sept. 2022.
-
Tomoya Gake,
Yu Kumagai,
Akira Takahashi,
Fumiyasu Oba.
La2CdO2Se2中の固有点欠陥に関する理論的検討,
日本セラミックス協会第35回秋季シンポジウム,
Sept. 2022.
-
Akira Takahashi.
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,
第3回『多結晶材料情報学応用技術研究会』,
Dec. 2021.
-
Akira Takahashi,
Yu Kumagai,
Hirotaka Aoki,
Fumiyasu Oba.
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,
第31回日本MRS年次大会,
Dec. 2021.
-
Akira Takahashi,
Hirotaka Aoki,
Yu Kumagai,
Fumiyasu Oba.
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,
日本金属学会2021年春期(第168回)講演大会,
Mar. 2021.
-
Yasuhide Mochizuki,
Hirofumi Akamatsu,
Yu Kumagai,
Ha-Jun SUNG,
Akira Takahashi,
Takayuki Nagai,
Hiroki Taniguchi,
Fumiyasu Oba.
第一原理格子動力学計算を用いたペロブスカイト物質の構造探索,
第40回電子材料研究討論会,
Nov. 2020.
-
Shusaku Hayakawa,
Kou Harada,
Yasuhide Mochizuki,
Akira Takahashi,
Yu Kumagai,
Fumiyasu Oba.
窒化イットリウムの点欠陥に関する第一原理計算,
日本金属学会2020年春期講演大会,
Mar. 2020.
-
Hirotaka Aoki,
Jun Miyamoto,
Akira Takahashi,
Yu Kumagai,
Fumiyasu Oba.
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,
日本金属学会2020年春期講演大会,
Mar. 2020.
-
Yasuhide Mochizuki,
Ha-Jun SUNG,
Akira Takahashi,
Yu Kumagai,
Fumiyasu Oba.
ニクタイドアンチペロブスカイトにおける安定構造探索,
第29回日本MRS年次大会,
Nov. 2019.
-
Akira Takahashi,
Yu Kumagai,
Jun Miyamoto,
Yasuhide Mochizuki,
Fumiyasu Oba.
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,
日本金属学会2019年秋期講演大会,
Sept. 2019.
-
J. Miyamoto,
A. Takahashi,
Y. Kumagai,
F. Oba.
Machine Learning Model for Predicting Dielectric Constants of Oxides,
第28回日本MRS年次大会,
Dec. 2018.
Other Publication
[ Save as BibTeX ]
[ Paper, Presentations, Books, Others, Degrees: Save as CSV
]
[ Patents: Save as CSV
]
|