my CV

Submitted

N. Matsumura, Y. Yoshimoto, T. Yamazaki, T. Amano, T. Noda, N. Ebata, T. Kasano, Y. Sakai, “A Generator of Neural Network Potential for Molecular Dynamics: Constructing Robust and Accurate Potentials with Active Learning for Nanosecond-scale Simulations”. [arXiv]
T. Amano, T. Yamazaki, N. Matsumura, Y. Yoshimoto, S. Tsuneyuki, “Transferability of the chemical bond-based machine learning model for dipole moment: the GHz to THz dielectric properties of liquid propylene glycol and polypropylene glycol”. [arXiv]
T. Amano, T. Yamazaki, S. Tsuneyuki, “The first-principles study of THz dielectric properties with a machine learning model for dipole moment”, submitted to Springer Proceedings in Physics.

T. Amano, T. Yamazaki, S. Tsuneyuki, “Chemical bond based machine learning model for dipole moment: Application to dielectric properties of liquid methanol and ethanol”, Phys. Rev. B 110, 165159 (2024).[press] [link] [arXiv]
T. Amano, T. Yamazaki, R. Akashi, T. Tadano, S. Tsuneyuki, “Lattice dielectric properties of rutile TiO₂: First-principles anharmonic self-consistent phonon study”, Phys. Rev. B 107, 094305 (2023). [link] [arXiv]

T. Amano, T. Yamazaki, S. Tsuneyuki “First-principles study of THz dielectric properties of liquid molecules with a machine learning model for dipole moments” American Physics Society April Meeting 2023, Minneapolis, USA, 2023/3/7
T. Amano, T. Yamazaki, S. Tsuneyuki “The first-principles study of THz dielectric properties with a machine learning model for dipole moment” Advanced Materials Research Grand Meeting MRM2023, Kyoto, Japan, 2023/12/12
T. Amano, T.Yamazaki, S. Tsuneyuki “The first-principles study of THz dielectric properties with a machine learning model for dipole moment” International Workshop on Theory of Many-Body Problems: Hierarchical Structure and Machine Learning (HISML) 2023, Chiba, Japan, 2023/10/10
T. Amano, T. Yamazaki, R. Akashi, S. Tsuneyuki “First-principles study of lattice dielectric function in rutile TiO₂” 33rd IUPAP Conference on Computational Physics, Online, 2022/08/04

T. Amano, “First-principles and machine learning study of anharmonic vibration and dielectric properties of materials”, Theory Seminar at the Institute for Solid State Physics, Chiba, Japan, 2024/1/26 (invited)
天野智仁, 山崎民雄, 常行真司「局所双極子モーメントの機械学習による高分子の誘電特性計算」日本物理学会2023秋期大会, 仙台, 2023/09/17
天野智仁, 山崎⺠雄, 常行真司「双極子モーメントの機械学習モデルによる誘電特性の研究」日本物理学会2023春期大会, オンライン, 2023/03/22
T. Amano, T. Yamazaki, R. Akashi, T.tadano, S. Tsuneyuki “First-principles study of lattice dielectric function in rutile TiO₂” YITP workshop Fundamentals in density functional theory (DFT2022), Kyoto, Japan, 2022/12/12
天野智仁, 山崎民雄, 明石遼介, 常行真司「ルチル型 TiO₂ における格子誘電関数の第一原理的研究」日本物理学会2022秋期大会, 東京, 2022/09/14

T. Amano, T. Yamazaki, S. Tsuneyuki “The first-principles study of THz dielectric properties with a machine learning model for dipole moment” 34rd IUPAP Conference on Computational Physics, Kobe, Japan, 2023/08/05
T. Amano, N. Ogawa, W. Yamada, T. Ikeda, T. Koiwai, M. Niikura, K. Wimmer, H. Sakurai, “Efficiency measurement of next generation scintillator GAGG at high energy using the 992KeV resonance of the ²⁷Al(p,γ)²⁸Si reaction” 5th Joint Meeting of the APS Division of Nuclear Physics and the Physical Society of Japan, Hawaii, USA, 2018/10/26
Ogawa, N., Amano, T., Yamada, W., Ikeda, T., Koiwai, T., Niikura, M., … & Wimmer, K. “Resolution measurement of next generation scintillator GAGG at high energy using the 992 keV resonance of the 27 Al (p, γ) 28 Si reaction” 5th Joint Meeting of the APS Division of Nuclear Physics and the Physical Society of Japan, Hawaii, USA, 2018/10/26
Yamada, W., Amano, T., Ogawa, N., Sakurai, H., Wimmer, K., Niikura, M., … & Ikeda, T. “Linearity measurement of next generation scintillatorGAGG at high energies using the 992KeV resonance of the 27Al (p, γ) 28Sireaction” 5th Joint Meeting of the APS Division of Nuclear Physics and the Physical Society of Japan, Hawaii, USA, 2018/10/26

天野智仁，山崎⺠雄, 常行真司「高周波誘電特性の第一原理計算（hp230124）」第11回「富岳」を中核とするHPCIシステム利用研究課題成果報告会, 東京, 2024/10/25
天野智仁, 山崎⺠雄, 常行真司「双極子モーメントの機械学習モデルによる誘電特性の研究」 ipi ダイキンシンポジウム2023, 東京, 2023/10/24
天野智仁, 山崎民雄, 明石遼介, 只野央将, 常行真司「ルチル型 TiO₂ の格子誘電特性:自己無撞着フォノン法による第一原理的研究」計算物質科学の新展開2023, 千葉, 2023/4/3
天野智仁, 山崎⺠雄, 常行真司「双極子モーメントの機械学習モデルによる誘電特性の研究」計算物理春の学校2023, 沖縄, 2023/3/14
天野智仁, 明石遼介, 常行真司「ルチル型 TiO₂ における格子誘電関数の第一原理的研究」計算物質科学の新展開2022, Online, 2022/5/12