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J-GLOBAL ID：200901041938508956   Update date: Nov. 08, 2024

Nagai Yuki

ナガイ ユウキ | Nagai Yuki
Affiliation and department：
The University of Tokyo Information Technology Center

About The University of Tokyo Information Technology Center


Job title： Associate Professor
Homepage URL  (1)： http://park.itc.u-tokyo.ac.jp/YNagai/ynagai/
Research field  (2)： Magnetism, superconductivity, and strongly correlated systems ,  Semiconductors, optical and atomic physics
Research keywords  (8)： Self Learning Monte Carlo ,  Machine learning Physics ,  異方的超伝導 ,  渦糸 ,  磁束量子 ,  超伝導 ,  Vortex ,  Superconductivity
Research theme for competitive and other funds  (15)：
  • 2022 - 2027 Foundation of "Machine Learning Physics" --- Revolutionary Transformation of Fundame ntal Physics by A New Field Integrating Machine Learning and Physics
  • 2022 - 2027 Frontiers of Condensed Matter Physics Pioneered by Neural Network
  • 2022 - 2025 Effective models constructed by neural networks with symmetries
  • 2022 - 2025 Study of high performance and accuracy eigenvalue solvers for quantum many-body systems
  • 2022 - 2024 機械学習分子シミュレーションによる準結晶の高次元性の解析:異常高温比熱の解明
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Papers (113)：
  • Yuki Nagai, Yutaka Iwasaki, Koichi Kitahara, Yoshiki Takagiwa, Kaoru Kimura, Motoyuki Shiga. High-Temperature Atomic Diffusion and Specific Heat in Quasicrystals. Physical Review Letters. 2024. 132. 19
  • Shiga Motoyuki, Thomsen B., Nagai Yuki. Software introduction "PIMD". Ansanburu. 2023. 25. 4. 303-310
  • Nagai Yuki, Tanaka Akinori*, Tomiya Akio*. Self-learning Monte Carlo for non-Abelian gauge theory with dynamical fermions. Physical Review D. 2023. 107. 5. 054501\_1-054501\_16
  • Nagai Yuki, Shinaoka Hiroshi*. Sparse modeling approach for quasiclassical theory of superconductivity. Journal of the Physical Society of Japan. 2023. 92. 3. 034703\_1-034703\_8
  • Wallerberger M.*, Badr S.*, Hoshino Shintaro*, Huber S.*, Kakizawa Fumiya*, Koretsune Takashi*, Nagai Yuki, Nogaki Kosuke*, Nomoto Takuya*, Mori Hitoshi*, et al. sparse-ir; Optimal compression and sparse sampling of many-body propagators. Software X (Internet). 2023. 21. 101266\_1-101266\_7
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MISC (65)：
  • 永井佑紀, 岩崎祐昂, 北原功一, 高際良樹, 木村薫, 志賀基之. Analysis of a high-dimensionality in quasicrystals: machine learning molecular dynamics simulation. 日本物理学会講演概要集(CD-ROM). 2023. 78. 2
  • Nagai Yuki. One-week lesson of numerical calculations in Julia language. Julia Programming for Numerical Computation; A One-week Course. 2022. 244
  • 飯田一樹, 永井佑紀, 永井佑紀, 岡部博孝, 村井直樹, 石角元志, 中村充孝, 稲村泰弘, 幸田章宏, 幸田章宏, et al. Doping dependence of magnetic fluctuations in (La,Na)Fe2As2. 日本物理学会講演概要集(CD-ROM). 2020. 75. 1
  • Nagai Yuki. Self-learning Monte Carlo. Butsurigakusha, Kikai Gakushu O Tsukau. 2019. 74-86
  • 永井佑紀, 永井佑紀, 奥村雅彦, 小林恵太, 志賀基之. 自己学習ハイブリッドモンテカルロ法:第一原理分子シミュレーションの高速化. 日本物理学会講演概要集(CD-ROM). 2019. 74. 2
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Books (5)：
  • Juliaではじめる数値計算入門
    技術評論社 2024 ISBN:4297141280
  • 1週間で学べる! Julia数値計算プログラミング (KS情報科学専門書)
    講談社 2022 ISBN:4065282829
  • 物理学者、機械学習を使う : 機械学習・深層学習の物理学への応用
    朝倉書店 2019 ISBN:9784254131291
  • 超伝導磁束状態の物理
    裳華房 2017
  • 理科のおさらい 物理 (おとなの楽習)
    自由国民社 2008 ISBN:4426103657
Lectures and oral presentations  (135)：
  • The Self-learning Monte Carlo method; Accelerating simulations with machine learning
    (7th Model Calculation Seminars)
  • Sparse modeling approach for quasiclassical theory of superconductivity
    (第29回渦糸物理ワークショップ)
  • Self-learning Monte Carlo method; Automatic learning of machine learning potentials and exact calculations
    (Quloud-PIMDセミナー; 「PIMD」を活用した材料シミュレーション)
  • Self-learning Monte Carlo method with equivariant Transformer
    (Large-scale lattice QCD simulation and application of machine learning)
  • Self-learning Monte Carlo method for electrons, atoms, and quarks and gluons
    (East Asia Joint Seminars On Statistical Physics 2023)
ｍore...
Education (3)：
  • 2005 - 2010 The University of Tokyo
  • 2001 - 2005 Hokkaido University School of Engineering Department of Applied Physics
  • 1998 - 2001 私立札幌光星高等学校
Professional career (1)：
  • 博士(理学) (東京大学)
Work history (9)：
  • 2024/11 - 現在 The University of Tokyo Graduate School of Frontier Sciences Associate Professor
  • 2024/02 - 現在 The University of Tokyo Information Technology Center Associate Professor
  • 2019/04 - 現在 Gakushuin University
  • 2019/07 - 2024/01 Japan Atomic Energy Agency
  • 2018/08 - 2023/03 RIKEN Center for Advanced Intelligence Project Visiting researcher
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Committee career (1)：
  • 2012/10 - 2013/09 日本物理学会 領域8 運営委員(低温)
Awards (2)：
  • 2018/10 - 国立研究開発法人日本原子力研究開発機構 理事長表彰 研究開発功績賞
  • The Physical Society of Japan Young Scientist Award of the Physical Society of Japan
Association Membership(s) (2)：
米国物理学会 ,  日本物理学会
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