Nomura Yusuke

ノムラユウスケ | Nomura Yusuke

Affiliation and department：
Job title： Professor

Research field (1)： Magnetism, superconductivity, and strongly correlated systems

Research keywords (3)： Condensed Matter Physics , Computational Materials Science , Machine learning

Research theme for competitive and other funds (7)：

2023 - 2028 Fundamental Theories and Theoretical Design of Asymmetric Quantum Matters
2021 - 2024 Development of theories for strongly correlated materials design
2020 - 2023 First-principles calculations for strongly-correlated materials with an interdisciplinary approach based on machine learning and physics
2018 - 2021 Realization of first-principles calculations of magnetism and superconductivity by compression of high-dimensional data
2017 - 2021 Investigation of roles of phonons and phonon-induced functional properties in strongly-correlated materials

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Papers (64)：

Jianyu Li, Zhangkai Cao, Jiahao Su, Ruipeng Wang, Haipeng Li, Yusuke Nomura, Xiaosen Yang, Ho-Kin Tang. Ab initio studies on interactions in K3C60 under high pressure. Physical Review B. 2024
Yusuke Nomura. Boltzmann machines and quantum many-body problems. Journal of Physics: Condensed Matter. 2024
Changming Yue, Yusuke Nomura, Kosmas Prassides, Philipp Werner. Instability of the Pa3 ̄ fulleride Cs3C60 at ambient pressure and superconducting state of the fcc phase. Physical Review B. 2023
Y. Okamura, K. Shoriki, Y. Nomura, Y. Fujishiro, A. Kitaori, N. Kanazawa, R. Arita, Y. Tokura, Y. Takahashi. Observation of anomalous Hall resonance of massive Dirac fermions in topological kagome-lattice magnet. npj Quantum Materials. 2023
Shunsuke Kitou, Yoshio Kaneko, Yuiga Nakamura, Kunihisa Sugimoto, Yusuke Nomura, Ryotaro Arita, Yoshinori Tokura, Hiroshi Sawa, Taka-hisa Arima. Visualization of 4d orbital electrons in a pyrochlore-type oxide. Physical Review B. 2023. 108. 2

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MISC (37)：

鬼頭俊介, 上田健太郎, 中村唯我, 杉本邦久, 野村悠祐, 有田亮太郎, 有田亮太郎, 十倉好紀, 十倉好紀, 有馬孝尚, et al. Valence electron density observation in pyrochlore-type iridiate R₂Ir₂O₇ (R= Eu, Nd, and Pr). 日本物理学会講演概要集(CD-ROM). 2023. 78. 2
野村悠祐. 機械学習と量子多体系の物理-特集量子多体系の物理と数理. 数理科学. 2022. 60. 12. 65-71
鬼頭俊介, 上田健太郎, 中村唯我, 杉本邦久, 野村悠祐, 有田亮太郎, 有田亮太郎, 十倉好紀, 十倉好紀, 有馬孝尚, et al. Direct observation of 4f and 5d orbital electrons in pyrochlore-type oxides Pr₂Ir₂O₇ and Eu₂Ir₂O₇. 日本物理学会講演概要集(CD-ROM). 2022. 77. 2
中村和磨, CHARLEBOIS Maxime, MOREE Jean-Baptiste, 野村悠祐, 只野央将, 吉本芳英, 山地洋平, 長谷川巧, 松平和之, 今田正俊, et al. Ab Initio Derivation of Effective Low-energy Hamiltonian of A Geometrically Frustrated Iridate Ca₅Ir₃O₁₂. 日本物理学会講演概要集(CD-ROM). 2021. 76. 1
吉岡信行, 吉岡信行, 野村悠祐, NORI Franco, NORI Franco. Finite-temperature calculations using deep Boltzmann machines(II): Numerical purification of Gibbs states. 日本物理学会講演概要集(CD-ROM). 2021. 76. 2

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Books (2)：

量子多体物理と人工ニューラルネットワーク (SGCライブラリ 191)
サイエンス社 2024 ISBN:4781916058
Ab Initio Studies on Superconductivity in Alkali-Doped Fullerides (Springer Theses)
Springer 2016 ISBN:9811014418

Lectures and oral presentations (48)：

Analyzing Strongly Correlated Electron Systems Using Artificial Neural Networks
(Trends in the Theory of Quantum Materials 2024 2024)
Quantum many-body simulations using artificial neural networks
(Joint ICTP-WE Heraeus School and Conference on Frontiers at the Intersection of Quantum Simulation and Machine Learning 2024)
人工ニューラルネットワークを用いた量子多体問題の解析
(計算物理春の学校 2024 2024)
量子多体問題と人工ニューラルネットワーク
(ipi - ダイキンシンポジウム 2023)
Quantum many-body solvers using artificial neural networks
(Computational Approaches to Quantum Many-Body Systems 2023)

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Education (3)：

2010 - 2015 The University of Tokyo The Graduate School of Engineering Department of Applied Physics
2008 - 2010 The University of Tokyo Faculty of Science Department of Physics
2006 - 2008 The University of Tokyo College of Arts and Sciences

Work history (5)：

2024/04 - 現在 Tohoku University Institute for Materials Research Theory of Solid State Physics Professor
2022/04 - 2024/03 Keio University Faculty of Science and Technology Department of Applied Physics and Physico-Informatics Associate Professor
2019/04 - 2022/03 RIKEN Center for Emergent Matter Science Research Scientist
2016/09 - 2019/03 The University of Tokyo Department of Applied Physics Research Associate
2015/04 - 2016/08 École polytechnique Postdoctoral fellow

Committee career (1)：

Awards (5)：

2022/11 - Condensed-Matter Science Prize
2021/09 - IOP Trusted Reviewer
2020/04 - Journal of Physics: Condensed Matter Emerging Leaders 2020
2017/03 - Young Scientist Award of the Physical Society of Japan
2015/03 - The University of Tokyo PhD Thesis Award (Department of Applied Physics)

Association Membership(s) (2)：

American Physical Society , The Physical Society of Japan

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