NOMURA YUSUKE 野村悠祐

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Nomura Yusuke 野村悠祐

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Researcher Number	20793756
Other IDs
Affiliation (Current)	2025: 東北大学, 金属材料研究所, 教授 2025: 慶應義塾大学, 理工学部(矢上), 准教授
Affiliation (based on the past Project Information) *help	2024 – 2025: 東北大学, 金属材料研究所, 教授 2022 – 2023: 慶應義塾大学, 理工学部(矢上), 准教授 2019 – 2021: 国立研究開発法人理化学研究所, 創発物性科学研究センター, 研究員 2017 – 2018: 東京大学, 大学院工学系研究科(工学部), 助教
Review Section/Research Field	Principal Investigator Transformative Research Areas, Section (II) / Basic Section 13030:Magnetism, superconductivity and strongly correlated systems-related / Condensed matter physics II Except Principal Investigator Basic Section 13030:Magnetism, superconductivity and strongly correlated systems-related / Transformative Research Areas, Section (II) / Condensed matter physics II
Keywords	Principal Investigator 機械学習 / 量子多体系 / 人工ニューラルネットワーク / 強相関電子系 / 制限ボルツマンマシン / 第一原理計算 / 電子格子相互作用 / 物質科学 / 量子データ / 量子技術 … More / 量子物性 / 量子多体問題 / 最適化 / 変分法 / テンソルネットワーク / 物質設計 / フラストレート磁性体 / ボルツマンマシン / ニューラル・ネットワーク / 手法開発 / 量子相関 / クーロン相互作用 / 変分波動関数 / フォノン / 銅酸化物高温超伝導体 / 超伝導 / 物質デザイン / ニッケル酸化物 … More Except Principal Investigator 強相関電子系 / 第一原理計算 / 計算物質科学 / 動的平均場理論 / データ科学 / 動的平均場法 / 超伝導 / 磁性 / 物質設計 / 交差相関 / 多極子 / アシンメトリ量子 / 多極子秩序 / 動的感受率 / 量子モンテカルロ法 / オープンソースソフトウェア / 計算物理 / スパースモデリング / トポロジカル物質 / モット転移 / トポロジカル相 / 界面・薄膜 / 非平衡超伝導 / 界面超伝導 / 機械学習 / 高温超伝導機構 / 非平衡ダイナミックス / 界面表面 / 非平衡 / 強相関系 / 非周期系 / 非平衡・ダイナミクス / 分数化 / 量子流体と量子スピン液体 / 高温超伝導 / 階層的第一原理強相関電子状態計算法 Less

機械学習手法を用いた量子多体ソルバーの開発と応用Principal Investigator
- Principal Investigator
  
  野村悠祐
- Project Period (FY)
  2025 – 2026
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  Tohoku University
Frontier of Machine Learning Methods for Quantum Many-body SystemsPrincipal Investigator
- Principal Investigator
  
  野村悠祐
- Project Period (FY)
  2023 – 2024
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  Tohoku University
  Keio University
Fundamental Theories and Theoretical Design of Asymmetric Quantum Matters
- Principal Investigator
  
  大槻純也
- Project Period (FY)
  2023 – 2027
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  Okayama University
Accurate representation of quantum data for promoting materials science and quantum technologyPrincipal Investigator
- Principal Investigator
  
  野村悠祐
- Project Period (FY)
  2023 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 13030:Magnetism, superconductivity and strongly correlated systems-related
- Research Institution
  Keio University
Development of theories for strongly correlated materials design
- Principal Investigator
  
  Otsuki Junya
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 13030:Magnetism, superconductivity and strongly correlated systems-related
- Research Institution
  Okayama University
First-principles calculations for strongly-correlated materials with an interdisciplinary approach based on machine learning and physicsPrincipal Investigator
- Principal Investigator
  
  Nomura Yusuke
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 13030:Magnetism, superconductivity and strongly correlated systems-related
- Research Institution
  Keio University
  Institute of Physical and Chemical Research
Realization of first-principles calculations of magnetism and superconductivity by compression of high-dimensional data
- Principal Investigator
  
  Otsuki Junya
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 13030:Magnetism, superconductivity and strongly correlated systems-related
- Research Institution
  Okayama University
Investigation of roles of phonons and phonon-induced functional properties in strongly-correlated materialsPrincipal Investigator
- Principal Investigator
  
  Nomura Yusuke
- Project Period (FY)
  2017 – 2020
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Condensed matter physics II
- Research Institution
  Institute of Physical and Chemical Research
  The University of Tokyo
Materials Design and Exploration of Functions for Strongly Correlated Materials - Challenges to Non-equilibrium and Non-Periodic Systems
- Principal Investigator
  
  IMADA Masatoshi
- Project Period (FY)
  2016 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (S)
- Research Field
  
  Condensed matter physics II
- Research Institution
  Waseda University
  The University of Tokyo

All 2024 2023 2022 2021 2020 2019 2018 2017 2016

All Journal Article Presentation

[Journal Article] A microscopic Kondo lattice model for the heavy fermion antiferromagnet CeIn32024
- Author(s)
  W. Simeth, Z. Wang, E. A. Ghioldi, D. M. Fobes, A. Podlesnyak, N. H. Sung, E. D. Bauer, J. Lass, J. Vonka, D. G. Mazzone, C. Niedermayer, Y. Nomura, R. Arita, C. D. Batista, F. Ronning, and M. Janoschek
- Journal Title
  
  Nat. Commun.
  
  Volume: 14 Issue: 1
- DOI
  10.1038/s41467-023-43947-z
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-23H04869, KAKENHI-PROJECT-21H01041
[Journal Article] Observation of anomalous Hall resonance of massive Dirac fermions in topological kagome-lattice magnet2024
- Author(s)
  Y. Okamura, K. Shoriki, Y. Nomura, Y. Fujishiro, A. Kitaori, N. Kanazawa, R. Arita, Y. Tokura, and Y. Takahashi
- Journal Title
  
  npj Quantum Mater.
  
  Volume: 8 Issue: 1 Pages: 57-57
- DOI
  10.1038/s41535-023-00589-0
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PLANNED-23H04869, KAKENHI-PROJECT-23H05431, KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-21H01796
[Journal Article] Boltzmann machines and quantum many-body problems2023
- Author(s)
  Nomura Yusuke
- Journal Title
  
  Journal of Physics: Condensed Matter
  
  Volume: 36 Issue: 7 Pages: 073001-073001
- DOI
  10.1088/1361-648x/ad0916
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K03307, KAKENHI-PUBLICLY-23H04519, KAKENHI-PROJECT-21H01041
[Journal Article] Instability of the Pa-3 fulleride Cs3C60 at ambient pressure and superconducting state of the fcc phase2023
- Author(s)
  Yue Changming、Nomura Yusuke、Prassides Kosmas、Werner Philipp
- Journal Title
  
  Physical Review B
  
  Volume: 108 Issue: 22
- DOI
  10.1103/physrevb.108.l220508
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K18693, KAKENHI-PROJECT-23K03307, KAKENHI-PROJECT-21H01907, KAKENHI-PLANNED-23H04869, KAKENHI-PROJECT-21H01041
[Journal Article] Visualization of 4d orbital electrons in a pyrochlore-type oxide2023
- Author(s)
  Kitou Shunsuke、Kaneko Yoshio、Nakamura Yuiga、Sugimoto Kunihisa、Nomura Yusuke、Arita Ryotaro、Tokura Yoshinori、Sawa Hiroshi、Arima Taka-hisa
- Journal Title
  
  Physical Review B
  
  Volume: 108 Issue: 2 Pages: 024103-024103
- DOI
  10.1103/physrevb.108.024103
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K14010, KAKENHI-PLANNED-19H05826, KAKENHI-PLANNED-22H05145, KAKENHI-PLANNED-23H04869, KAKENHI-PROJECT-23K23202
[Journal Article] Ab initio materials design of superconductivity in d9 nickelates2023
- Author(s)
 Kitatani Motoharu、Nomura Yusuke、Hirayama Motoaki、Arita Ryotaro
- Journal Title
 
 APL Materials
 
 Volume: 11 Issue: 3 Pages: 030701-030701
- DOI
 10.1063/5.0097618
- Peer Reviewed / Open Access
- Data Source
 KAKENHI-PROJECT-21K13887, KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423
[Journal Article] Magnetic structures and electronic properties of cubic-pyrochlore ruthenates from first principles2022
- Author(s)
  Huebsch M-T、Nomura Y、Sakai S、Arita R
- Journal Title
  
  Journal of Physics: Condensed Matter
  
  Volume: 34 Issue: 19 Pages: 194003-194003
- DOI
  10.1088/1361-648x/ac513c
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H04990, KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423, KAKENHI-PLANNED-19H05825, KAKENHI-PROJECT-21H04437
[Journal Article] Fermi Surface Expansion above Critical Temperature in a Hund Ferromagnet2022
- Author(s)
  Nomura Yusuke、Sakai Shiro、Arita Ryotaro
- Journal Title
  
  Physical Review Letters
  
  Volume: 128 Issue: 20
- DOI
  10.1103/physrevlett.128.206401
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423, KAKENHI-PLANNED-19H05825
[Journal Article] Doping Asymmetry and Layer-Selective Metal-Insulator Transition in Trilayer K3+xC602022
- Author(s)
  Yue Changming、Nomura Yusuke、Werner Philipp
- Journal Title
  
  Physical Review Letters
  
  Volume: 129 Issue: 6
- DOI
  10.1103/physrevlett.129.066403
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423
[Journal Article] Ab initio downfolding based on the GW approximation for infinite-layer nickelates2022
- Author(s)
  M. Hirayama, Y. Nomura, and R. Arita,
- Journal Title
  
  Front. Phys.
  
  Volume: 10 Pages: 824144-824144
- DOI
  10.3389/fphy.2022.824144
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423
[Journal Article] Superconductivity in infinite-layer nickelates2022
- Author(s)
  Nomura Yusuke、Arita Ryotaro
- Journal Title
  
  Reports on Progress in Physics
  
  Volume: 85 Issue: 5 Pages: 052501-052501
- DOI
  10.1088/1361-6633/ac5a60
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423, KAKENHI-PLANNED-19H05825
[Journal Article] Investigating Network Parameters in Neural-Network Quantum States2022
- Author(s)
  Nomura Yusuke
- Journal Title
  
  Journal of the Physical Society of Japan
  
  Volume: 91 Issue: 5
- DOI
  10.7566/jpsj.91.054709
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423
[Journal Article] 量子多体問題への機械学習2021
- Author(s)
  野村悠祐
- Journal Title
  
  電子情報通信学会誌
  
  Volume: 104 Pages: 1150-1157
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K14423
[Journal Article] 機械学習手法を用いて量子多体系に挑む　―手法拡張を含む最近の進展―2021
- Author(s)
  野村悠祐
- Journal Title
  
  固体物理
  
  Volume: 56 Pages: 117-130
- NAID
  40022518161
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18H01158
[Journal Article] Purifying Deep Boltzmann Machines for Thermal Quantum States2021
- Author(s)
  Yusuke Nomura, Nobuyuki Yoshioka, and Franco Nori
- Journal Title
  
  Phys. Rev. Lett.
  
  Volume: 127 Issue: 6
- DOI
  10.1103/physrevlett.127.060601
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-20H00134, KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423
[Journal Article] Long-range spin transport on the surface of topological Dirac semimetal2021
- Author(s)
  Yasufumi Araki, Takhiro Misawa and Kentaro Nomura
- Journal Title
  
  Phys. Rev. Res.
  
  Volume: 3 Issue: 2 Pages: 23219-23219
- DOI
  10.1103/physrevresearch.3.023219
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Journal Article] qeirreps: An open-source program for Quantum ESPRESSO to compute irreducible representations of Bloch wavefunctions2021
- Author(s)
  Matsugatani Akishi、Ono Seishiro、Nomura Yusuke、Watanabe Haruki
- Journal Title
  
  Computer Physics Communications
  
  Volume: 264 Pages: 107948-107948
- DOI
  10.1016/j.cpc.2021.107948
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01825, KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423
[Journal Article] RESPACK: An ab initio tool for derivation of effective low-energy model of material2021
- Author(s)
  Nakamura Kazuma、Yoshimoto Yoshihide、Nomura Yusuke、Tadano Terumasa、Kawamura Mitsuaki、Kosugi Taichi、Yoshimi Kazuyoshi、Misawa Takahiro、Motoyama Yuichi
- Journal Title
  
  Computer Physics Communications
  
  Volume: 261 Pages: 107781-107781
- DOI
  10.1016/j.cpc.2020.107781
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K03673, KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423
[Journal Article] Dirac-Type Nodal Spin Liquid Revealed by Refined Quantum Many-Body Solver Using Neural-Network Wave Function, Correlation Ratio, and Level Spectroscopy2021
- Author(s)
  Yusuke Nomura and Masatoshi Imada
- Journal Title
  
  Phys. Rev. X
  
  Volume: 11 Issue: 3 Pages: 1-19
- DOI
  10.1103/physrevx.11.031034
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423, KAKENHI-PROJECT-19H00658
[Journal Article] 機械学習手法を用いて量子多体系に挑む　―手法拡張を含む最近の進展―2021
- Author(s)
  野村悠祐
- Journal Title
  
  固体物理
  
  Volume: 56 Pages: 117-130
- NAID
  40022518161
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14336
[Journal Article] 機械学習手法を用いて量子多体系に挑む　―手法拡張を含む最近の進展―2021
- Author(s)
  野村悠祐
- Journal Title
  
  固体物理
  
  Volume: 56 Pages: 117-130
- NAID
  40022518161
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K14423
[Journal Article] Helping restricted Boltzmann machines with quantum-state representation by restoring symmetry2021
- Author(s)
  Yusuke Nomura
- Journal Title
  
  J. Phys.: Condens. Matter
  
  Volume: 33 Issue: 17 Pages: 174003-174003
- DOI
  10.1088/1361-648x/abe268
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423
[Journal Article] Ab initio derivation of low-energy Hamiltonians for systems with strong spin-orbit interaction: Application to Ca5Ir3O122021
- Author(s)
  Charlebois Maxime、Moree Jean-Baptiste、Nakamura Kazuma、Nomura Yusuke、Tadano Terumasa、Yoshimoto Yoshihide、Yamaji Youhei、Hasegawa Takumi、Matsuhira Kazuyuki、Imada Masatoshi
- Journal Title
  
  Physical Review B
  
  Volume: 104 Issue: 7 Pages: 075153-075153
- DOI
  10.1103/physrevb.104.075153
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K03673, KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-21H01041, KAKENHI-PROJECT-20K14423, KAKENHI-PROJECT-19H00658
[Journal Article] Geometrical Hall effect and momentum-space Berry curvature from spin-reversed band pairs2021
- Author(s)
  Hirschberger Max、Nomura Yusuke、Mitamura Hiroyuki、Miyake Atsushi、Koretsune Takashi、Kaneko Yoshio、Spitz Leonie、Taguchi Yasujiro、Matsuo Akira、Kindo Koichi、Arita Ryotaro、Tokunaga Masashi、Tokura Yoshinori
- Journal Title
  
  Physical Review B
  
  Volume: 103 Issue: 4
- DOI
  10.1103/physrevb.103.l041111
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K14423, KAKENHI-PROJECT-19H00650, KAKENHI-PROJECT-18H01158, KAKENHI-PROJECT-17K14336
[Journal Article] 量子多体問題への機械学習2021
- Author(s)
  野村悠祐
- Journal Title
  
  電子情報通信学会誌
  
  Volume: 104 Pages: 1150-1157
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H01041
[Journal Article] Efficient implementation of the continuous-time interaction-expansion quantum Monte Carlo method2020
- Author(s)
  Shinaoka Hiroshi、Nomura Yusuke、Gull Emanuel
- Journal Title
  
  Computer Physics Communications
  
  Volume: 252 Pages: 106826-106826
- DOI
  10.1016/j.cpc.2019.06.016
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423, KAKENHI-PROJECT-18H01158, KAKENHI-PROJECT-17K14336
[Journal Article] Efficient ab initio Migdal-Eliashberg calculation considering the retardation effect in phonon-mediated superconductors2020
- Author(s)
  Tianchun Wang, Takuya Nomoto, Yusuke Nomura, Hiroshi Shinaoka, Junya Otsuki, T. Koretsune, and Ryotaro Arita
- Journal Title
  
  Physical Review B
  
  Volume: 102 Issue: 13 Pages: 134503-134503
- DOI
  10.1103/physrevb.102.134503
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K03442, KAKENHI-PROJECT-20K20522, KAKENHI-PROJECT-20K14423, KAKENHI-PROJECT-18H01158, KAKENHI-PROJECT-17K14336, KAKENHI-PROJECT-19K14654, KAKENHI-PLANNED-19H05825
[Journal Article] Materials design of dynamically stable d9 layered nickelates2020
- Author(s)
  Hirayama Motoaki、Tadano Terumasa、Nomura Yusuke、Arita Ryotaro
- Journal Title
  
  Physical Review B
  
  Volume: 101 Issue: 7 Pages: 075107-075107
- DOI
  10.1103/physrevb.101.075107
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14336, KAKENHI-PLANNED-19H05825, KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-18H01158
[Journal Article] Machine Learning Quantum States ― Extensions to Fermion-Boson Coupled Systems and Excited-State Calculations2020
- Author(s)
  Nomura Yusuke
- Journal Title
  
  Journal of the Physical Society of Japan
  
  Volume: 89 Issue: 5 Pages: 054706-054706
- DOI
  10.7566/jpsj.89.054706
- NAID
  40022226628
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K14423, KAKENHI-PROJECT-18H01158, KAKENHI-PROJECT-17K14336, KAKENHI-PROJECT-16H06345
[Journal Article] ニッケル酸化物新超伝導体の発見：現状と展望2020
- Author(s)
  野村悠祐、平山元昭、北谷基治、只野央将、有田亮太郎
- Journal Title
  
  固体物理
  
  Volume: 55 Pages: 491-503
- NAID
  40022384103
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K14423
[Journal Article] Dynamical spin-to-charge conversion on the edge of quantum spin Hall insulator2020
- Author(s)
  Araki Yasufumi、Misawa Takahiro、Nomura Kentaro
- Journal Title
  
  Physical Review Research
  
  Volume: 2 Issue: 2 Pages: 023195-023195
- DOI
  10.1103/physrevresearch.2.023195
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K05485, KAKENHI-PROJECT-19K03739, KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-20H01830, KAKENHI-PROJECT-19H00645
[Journal Article] Wannier90 as a community code: new features and applications2020
- Author(s)
  Pizzi Giovanni et al
- Journal Title
  
  Journal of Physics: Condensed Matter
  
  Volume: 32 Issue: 16 Pages: 165902-165902
- DOI
  10.1088/1361-648x/ab51ff
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03442, KAKENHI-PROJECT-17K14336, KAKENHI-PROJECT-19H00650, KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-18H01158
[Journal Article] Magnetic exchange coupling in cuprate-analog d9 nickelates2020
- Author(s)
  Nomura Yusuke、Nomoto Takuya、Hirayama Motoaki、Arita Ryotaro
- Journal Title
  
  Physical Review Research
  
  Volume: 2 Issue: 4 Pages: 043144-043144
- DOI
  10.1103/physrevresearch.2.043144
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K14390, KAKENHI-PROJECT-20K14423, KAKENHI-PROJECT-18H01158, KAKENHI-PROJECT-17K14336, KAKENHI-PROJECT-16H06345, KAKENHI-PLANNED-19H05825
[Journal Article] ニッケル酸化物新超伝導体の発見：現状と展望2020
- Author(s)
  野村悠祐、平山元昭、北谷基治、只野央将、有田亮太郎
- Journal Title
  
  固体物理
  
  Volume: 55 Pages: 491-503
- NAID
  40022384103
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14336
[Journal Article] Higgs-mode resonance in third harmonic generation in NbN superconductors: Multiband electron-phonon coupling, impurity scattering, and polarization-angle dependence2020
- Author(s)
  Tsuji Naoto、Nomura Yusuke
- Journal Title
  
  Physical Review Research
  
  Volume: 2 Issue: 4
- DOI
  10.1103/physrevresearch.2.043029
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K03811, KAKENHI-PROJECT-20K14423, KAKENHI-PROJECT-18H01158, KAKENHI-PROJECT-17K14336
[Journal Article] ニッケル酸化物新超伝導体の発見：現状と展望2020
- Author(s)
  野村悠祐、平山元昭、北谷基治、只野央将、有田亮太郎
- Journal Title
  
  固体物理
  
  Volume: 55 Pages: 491-503
- NAID
  40022384103
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18H01158
[Journal Article] Strong-coupling formula for momentum-dependent susceptibilities in dynamical mean-field theory2019
- Author(s)
  Otsuki Junya、Yoshimi Kazuyoshi、Shinaoka Hiroshi、Nomura Yusuke
- Journal Title
  
  Physical Review B
  
  Volume: 99 Issue: 16
- DOI
  10.1103/physrevb.99.165134
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K17735, KAKENHI-PROJECT-17K14336, KAKENHI-PUBLICLY-18H04301, KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-18H01158
[Journal Article] Semi-quantized Spin Pumping and Spin-Orbit Torques in Topological Dirac Semimetals2019
- Author(s)
  Misawa Takahiro、Nomura Kentaro
- Journal Title
  
  Scientific Reports
  
  Volume: 9 Issue: 1 Pages: 196591-8
- DOI
  10.1038/s41598-019-55802-7
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K05485, KAKENHI-PROJECT-19K03739, KAKENHI-PLANNED-15H05854, KAKENHI-PROJECT-16H06345
[Journal Article] "Formation of a two-dimensional single-component correlated electron system and band engineering in the nickelate superconductor NdNiO2"2019
- Author(s)
  "Yusuke Nomura, Motoaki Hirayama, Terumasa Tadano, Yoshihide Yoshimoto, Kazuma Nakamura, and Ryotaro Arita"
- Journal Title
  
  PHYSICAL REVIEW B
  
  Volume: 100 Issue: 20 Pages: 205138-205138
- DOI
  10.1103/physrevb.100.205138
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K03673, KAKENHI-PROJECT-17K14336, KAKENHI-PROJECT-16K05452, KAKENHI-PLANNED-19H05825, KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-18H01158
[Journal Article] Real-time evolution and quantized charge pumping in magnetic Weyl semimetals2019
- Author(s)
  Misawa Takahiro、Nakai Ryota、Nomura Kentaro
- Journal Title
  
  Physical Review B
  
  Volume: 100 Issue: 15 Pages: 1551231-9
- DOI
  10.1103/physrevb.100.155123
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K05485, KAKENHI-PROJECT-19K03739, KAKENHI-PROJECT-17K17604, KAKENHI-PROJECT-16H06345
[Journal Article] Ab initio derivation of an effective Hamiltonian for the La2CuO4/La1.55Sr0.45CuO4 heterostructure2019
- Author(s)
  Tadano Terumasa、Nomura Yusuke、Imada Masatoshi
- Journal Title
  
  Physical Review B
  
  Volume: 99 Issue: 15
- DOI
  10.1103/physrevb.99.155148
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14336, KAKENHI-PROJECT-16H06345, KAKENHI-PROJECT-18H01158
[Journal Article] Stripe and superconducting order competing in the Hubbard model on a square lattice studied by a combined variational Monte Carlo and tensor network method2018
- Author(s)
  Darmawan Andrew S.、Nomura Yusuke、Yamaji Youhei、Imada Masatoshi
- Journal Title
  
  Physical Review B
  
  Volume: 98 Issue: 20
- DOI
  10.1103/physrevb.98.205132
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336, KAKENHI-PROJECT-18H01158, KAKENHI-PROJECT-16H06345
[Journal Article] Constructing exact representations of quantum many-body systems with deep neural networks2018
- Author(s)
  Carleo Giuseppe、Nomura Yusuke、Imada Masatoshi
- Journal Title
  
  Nature Communications
  
  Volume: 9 Issue: 1
- DOI
  10.1038/s41467-018-07520-3
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336, KAKENHI-PROJECT-18H01158, KAKENHI-PROJECT-16H06345
[Journal Article] Restricted Boltzmann machine learning for solving strongly correlated quantum systems2017
- Author(s)
  Yusuke Nomura, Andrew S. Darmawan, Youhei Yamaji, and Masatoshi Imada
- Journal Title
  
  Phys. Rev. B
  
  Volume: 96 Issue: 20
- DOI
  10.1103/physrevb.96.205152
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14336, KAKENHI-PROJECT-16H06345
[Journal Article] Self-optimized superconductivity attainable by interlayer phase separation at cuprate interfaces2016
- Author(s)
  Takahiro Misawa, Yusuke Nomura, Silke Biermann, Masatoshi Imada
- Journal Title
  
  Science Advance
  
  Volume: 2 Issue: 7
- DOI
  10.1126/sciadv.1600664
- Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17746, KAKENHI-PROJECT-16H06345
[Journal Article] Ab initio GW plus cumulant calculation for isolated band systems: Application to organic conductor (TMTSF)2PF6 and transition-metal oxide2016
- Author(s)
  Kazuma Nakamura, Yoshiro Nohara, Yoshihide Yoshimoto, Yusuke Nomura
- Journal Title
  
  Physical Review B
  
  Volume: 93 Issue: 8
- DOI
  10.1103/physrevb.93.085124
- Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25800200, KAKENHI-PROJECT-16H06345
[Presentation] 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2024
- Author(s)
  野村悠祐
- Organizer
  計算物理春の学校2024
- Invited
- Data Source
  KAKENHI-PROJECT-23K03307
[Presentation] 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2024
- Author(s)
  野村悠祐
- Organizer
  計算物理春の学校2024
- Invited
- Data Source
  KAKENHI-PUBLICLY-23H04519
[Presentation] Theoretical design of cuprate-analog d9 nickelates2024
- Author(s)
  Y. Nomura
- Organizer
  CEMS symposium on Emergent Quantum Materials 2024
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] 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2024
- Author(s)
  野村悠祐
- Organizer
  計算物理春の学校 2024
- Invited
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Theoretical design of cuprate-analog d9 nickelates2024
- Author(s)
  Y. Nomura
- Organizer
  CEMS symposium on Emergent Quantum Materials 2024
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-23H04869
[Presentation] The Nickel Age of Superconductivity: Comparison with Cuprates and Theoretical Design of Cuprate-analog Nickelates2023
- Author(s)
  Y. Nomura
- Organizer
  The International Conference in Strongly Correlated Electrons systems (SCES2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-23H04869
[Presentation] 人工ニューラルネットワークを用いた強相関電子系の解析2023
- Author(s)
  野村悠祐
- Organizer
  研究会「強相関電子系のフロンティア」
- Invited
- Data Source
  KAKENHI-PROJECT-23K03307
[Presentation] ニッケル酸化物超伝導体の電子構造と物質デザイン2023
- Author(s)
  野村悠祐
- Organizer
  金研研究会「強相関物質における創発物性研究の現状と将来展望」
- Invited
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Quantum many-body problems and artificial neural networks2023
- Author(s)
  Yusuke Nomura
- Organizer
  CCP2023 - 34th IUPAP Conference on Computational Physics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-23H04519
[Presentation] 量子多体物理と人工ニューラルネットワーク2023
- Author(s)
  野村悠祐
- Organizer
  第2回量子ソフトウェアワークショップ
- Invited
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] 量子多体問題と人工ニューラルネットワーク2023
- Author(s)
  野村悠祐
- Organizer
  ipi - ダイキンシンポジウム
- Invited
- Data Source
  KAKENHI-PROJECT-23K03307
[Presentation] 人工ニューラルネットワークを用いた変分法2023
- Author(s)
  野村悠祐
- Organizer
  学術変革領域「学習物理」物性関係討論会
- Data Source
  KAKENHI-PUBLICLY-23H04519
[Presentation] Doping Asymmetry and Layer-Selective Metal-Insulator Transition in Trilayer K3C602023
- Author(s)
  Y. Nomura
- Organizer
  The Asia-Pacific Workshop on Strongly Correlated Systems 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-23H04869
[Presentation] Artificial neural networks for analyzing quantum many-body correlations2023
- Author(s)
  Yusuke Nomura
- Organizer
  Conference of Condensed Matter Physics (CCMP) 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-23H04519
[Presentation] 人工ニューラルネットワークを用いた量子多体変分手法2023
- Author(s)
  野村悠祐
- Organizer
  学習物理学の創成　領域会議
- Data Source
  KAKENHI-PUBLICLY-23H04519
[Presentation] 強相関物質の第一原理有効模型導出と多極子基底への展開2023
- Author(s)
  野村悠祐
- Organizer
  アシンメトリ量子キックオフミーティング
- Data Source
  KAKENHI-PLANNED-23H04869
[Presentation] 機械学習/人工ニューラルネットワーク手法を用いた量子多体系の研究2023
- Author(s)
  野村悠祐
- Organizer
  第２回「富岳」成果創出加速プログラム　研究交流会
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] 量子多体問題と人工ニューラルネットワーク2023
- Author(s)
  野村悠祐
- Organizer
  ipi - ダイキンシンポジウム
- Invited
- Data Source
  KAKENHI-PUBLICLY-23H04519
[Presentation] Quantum many-body solvers using artificial neural networks2023
- Author(s)
  Y. Nomura
- Organizer
  Computational Approaches to Quantum Many-Body Systems
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] 人工ニューラルネットワークを用いた強相関電子系の解析2023
- Author(s)
  野村悠祐
- Organizer
  研究会「強相関電子系のフロンティア」
- Invited
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] 量子多体問題と人工ニューラルネットワーク2023
- Author(s)
  野村悠祐
- Organizer
  ipi - ダイキンシンポジウム
- Invited
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] ニッケル酸化物超伝導体の電子構造と物質デザイン2023
- Author(s)
  野村悠祐
- Organizer
  金研研究会「強相関物質における創発物性研究の現状と将来展望」
- Invited
- Data Source
  KAKENHI-PLANNED-23H04869
[Presentation] 量子多体物理と人工ニューラルネットワーク2023
- Author(s)
  野村悠祐
- Organizer
  学術変革領域「学習物理」、物性関係令和５年度合同キックオフ会議
- Data Source
  KAKENHI-PUBLICLY-23H04519
[Presentation] Quantum many-body solvers using artificial neural networks2023
- Author(s)
  Yusuke Nomura
- Organizer
  Computational Approaches to Quantum Many-Body Systems
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K03307
[Presentation] Quantum many-body problems and artificial neural network2023
- Author(s)
  Y. Nomura
- Organizer
  CCP2023 - 34th IUPAP Conference on Computational Physics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Quantum many-body solvers using artificial neural networks2023
- Author(s)
  Yusuke Nomura
- Organizer
  Computational Approaches to Quantum Many-Body Systems
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-23H04519
[Presentation] 量子多体物理と人工ニューラルネットワーク2023
- Author(s)
  野村悠祐
- Organizer
  第2回量子ソフトウェアワークショップ
- Invited
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Doping Asymmetry and Layer-Selective Metal-Insulator Transition in Trilayer K3C602023
- Author(s)
  Yusuke Nomura
- Organizer
  The Asia-Pacific Workshop on Strongly Correlated Systems 2023
- Invited
- Data Source
  KAKENHI-PROJECT-23K03307
[Presentation] 人工ニューラルネットワークを用いた強相関電子系の解析2023
- Author(s)
  野村悠祐
- Organizer
  研究会「強相関電子系のフロンティア」
- Invited
- Data Source
  KAKENHI-PUBLICLY-23H04519
[Presentation] The Nickel Age of Superconductivity: Comparison with Cuprates and Theoretical Design of Cuprate-analog Nickelates2023
- Author(s)
  Y. Nomura
- Organizer
  International Conference on Strongly Correlated Electron Systems 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] 機械学習/人工ニューラルネットワーク手法を用いた量子多体系の研究2023
- Author(s)
  野村悠祐
- Organizer
  第２回「富岳」成果創出加速プログラム　研究交流会
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Doping Asymmetry and Layer-Selective Metal-Insulator Transition in Trilayer K3C602023
- Author(s)
  Y. Nomura
- Organizer
  The Asia-Pacific Workshop on Strongly Correlated Systems 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Artificial neural networks for analyzing quantum many-body correlations2023
- Author(s)
  Yusuke Nomura
- Organizer
  Conference of Condensed Matter Physics (CCMP) 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K03307
[Presentation] Artificial neural networks for analyzing quantum many-body correlations2023
- Author(s)
  Y. Nomura
- Organizer
  Conference of Condensed Matter Physics (CCMP) 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Quantum many-body problems and artificial neural networks2023
- Author(s)
  Yusuke Nomura
- Organizer
  CCP2023 - 34th IUPAP Conference on Computational Physics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K03307
[Presentation] 銅酸化物の類似物質としてのd9ニッケル酸化物の理論デザイン2022
- Author(s)
  野村悠祐
- Organizer
  第32回日本MRS年次大会
- Invited
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Artificial neural networks for quantum many-body problems2022
- Author(s)
  Yusuke Nomura
- Organizer
  APS march meeting
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Neural-network studies reveal quantum spin liquid in two-dimensional J1-J2 Heisenberg model2022
- Author(s)
  Yusuke Nomura
- Organizer
  ISSEC2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] ニッケル酸化物超伝導体の電子・磁気物理と物質デザイン2022
- Author(s)
  野村悠祐
- Organizer
  日本材料科学会　学術講演大会
- Invited
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Artificial neural networks for quantum many-body problems2022
- Author(s)
  Yusuke Nomura
- Organizer
  APS march meeting
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Neural-network studies reveal quantum spin liquid in two-dimensional J1-J2 Heisenberg model2022
- Author(s)
  Yusuke Nomura
- Organizer
  ISSEC2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] 機械学習手法を用いた量子多体系の研究2022
- Author(s)
  野村悠祐
- Organizer
  領域横断研究会
- Invited
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] 量子多体問題に対する人工ニューラルネットワーク手法2022
- Author(s)
  野村悠祐
- Organizer
  計算科学と実験科学が導く量子物質研究の最先端
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] 量子多体問題に対する人工ニューラルネットワーク手法2022
- Author(s)
  野村悠祐
- Organizer
  計算科学と実験科学が導く量子物質研究の最先端
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] 第一原理有効模型を使ったニッケル酸化物超伝導体の物質デザインとCeIn3の磁気相互作用解析2022
- Author(s)
  野村悠祐
- Organizer
  第1回「アシンメトリ量子研究会」
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] ニッケル酸化物超伝導体の電子・磁気物理と物質デザイン2022
- Author(s)
  野村悠祐
- Organizer
  日本材料科学会　学術講演大会
- Invited
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Artificial neural networks for exploring quantum many-body physics2022
- Author(s)
  Yusuke Nomura
- Organizer
  Variational learning for quantum matter
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Theoretical design of cuprate-analog nickelates and magnetic exchange coupling2022
- Author(s)
  Yusuke Nomura
- Organizer
  LT29
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Theoretical design of cuprate-analog nickelates and magnetic exchange coupling2022
- Author(s)
  Yusuke Nomura
- Organizer
  LT29
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Artificial neural networks for exploring quantum many-body physics2022
- Author(s)
  Yusuke Nomura
- Organizer
  Variational learning for quantum matter
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] 機械学習手法を用いた量子多体系の研究2022
- Author(s)
  野村悠祐
- Organizer
  領域横断研究会
- Invited
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] 銅酸化物の類似物質としてのd9ニッケル酸化物の理論デザイン2022
- Author(s)
  野村悠祐
- Organizer
  第32回日本MRS年次大会
- Invited
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] 第一原理有効模型を使ったニッケル酸化物超伝導体の物質デザインとCeIn3の磁気相互作用解析2022
- Author(s)
  野村悠祐
- Organizer
  第1回「アシンメトリ量子研究会」
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Symmetry-adapted Wannier functions2022
- Author(s)
  Yusuke Nomura
- Organizer
  Wannier 2022 Summer School
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Symmetry-adapted Wannier functions2022
- Author(s)
  Yusuke Nomura
- Organizer
  Wannier 2022 Summer School
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Artificial neural networks for representing quantum many-body states2021
- Author(s)
  Yusuke Nomura
- Organizer
  Quantum Techniques in Machine Learning (QTML) 2021
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Materials design of layered d9 nickelates and magnetic exchange coupling2021
- Author(s)
  Yusuke Nomura
- Organizer
  Quantum Liquid Crystals 2021 (QLC2021) (Online)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Artificial neural networks for representing quantum many-body states2021
- Author(s)
  Yusuke Nomura
- Organizer
  Quantum Techniques in Machine Learning (QTML) 2021
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] 深層ボルツマンマシンを用いた有限温度計算(I)：熱平衡状態の解析的純粋化2021
- Author(s)
  野村悠祐
- Organizer
  日本物理学会 2021年秋季大会
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Purifying Deep Boltzmann Machines for Thermal Quantum States2021
- Author(s)
  Yusuke Nomura
- Organizer
  XXXII IUPAP Conference on Computational Physics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] 機械学習を用いた量子多体波動関数表現：物理の難問であるフラストレーションのある量子スピン系への適用2021
- Author(s)
  野村悠祐
- Organizer
  第11回材料系ワークショップ～マテリアルDXを加速する「富岳」を活用した成果の創出に向けて～
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] 深層ボルツマンマシンを用いた有限温度計算(I)：熱平衡状態の解析的純粋化2021
- Author(s)
  野村悠祐
- Organizer
  日本物理学会 2021年秋季大会（オンライン開催）
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Purifying Deep Boltzmann Machines for Thermal Quantum States2021
- Author(s)
  Yusuke Nomura
- Organizer
  XXXII IUPAP Conference on Computational Physics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Artificial Neural Networks for Analyzing Quantum Many-Body Problems2021
- Author(s)
  Yusuke Nomura
- Organizer
  KMS 2021 Winter Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Magnetic exchange coupling in theoretically-designed cuprate-analog d9 nickelates2021
- Author(s)
  Yusuke Nomura
- Organizer
  APS March meeting 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Materials design of cuprate-analog nickelates and magnetic exchange coupling2021
- Author(s)
  Yusuke Nomura
- Organizer
  2nd International Meeting on Thin Film Interfaces, Surfaces and Composite Crystals (Online)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] 人工ニューラルネットワークを用いた量子多体ソルバー2021
- Author(s)
  野村悠祐
- Organizer
  「富岳」成果創出加速プログラム物質・材料系課題合同研究会
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Materials design of cuprate-analog nickelates and magnetic exchange coupling2021
- Author(s)
  Yusuke Nomura
- Organizer
  2nd International Meeting on Thin Film Interfaces, Surfaces and Composite Crystals
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] 機械学習を用いた量子多体波動関数表現：物理の難問であるフラストレーションのある量子スピン系への適用2021
- Author(s)
  野村悠祐
- Organizer
  第11回材料系ワークショップ～マテリアルDXを加速する「富岳」を活用した成果の創出に向けて～
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Artificial Neural Networks for Analyzing Quantum Many-Body Problems2021
- Author(s)
  Yusuke Nomura
- Organizer
  KMS 2021 Winter Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] フラーレン超伝導体薄膜における超伝導のドーピング非対称性2021
- Author(s)
  野村悠祐
- Organizer
  京都大学基礎物理学研究所研究会「非自明な電子状態が生み出す超伝導現象の最前線:新たな挑戦と展望」
- Invited
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] 機械学習を用いた量子多体波動関数表現：物理の難問であるフラストレーションのある量子スピン系への適用2021
- Author(s)
  野村悠祐
- Organizer
  第11回材料系ワークショップ～マテリアルDXを加速する「富岳」を活用した成果の創出に向けて～
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Magnetic exchange coupling in theoretically-designed cuprate-analog d9 nickelates2021
- Author(s)
  Yusuke Nomura
- Organizer
  APS March meeting 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Magnetic exchange coupling in theoretically-designed cuprate-analog d9 nickelates2021
- Author(s)
  Yusuke Nomura
- Organizer
  APS March meeting 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Purifying deep Boltzmann machines for thermal quantum states2021
- Author(s)
  Yusuke Nomura
- Organizer
  APW-RIKEN-Tsinghua-Kavli workshop "Highlights on condensed matter physics" 2021 (Online)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Artificial neural networks for representing quantum many-body states2021
- Author(s)
  Yusuke Nomura
- Organizer
  Quantum Techniques in Machine Learning (QTML) 2021 (Online)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] 人工ニューラルネットワークを用いた量子多体ソルバー2021
- Author(s)
  野村悠祐
- Organizer
  「富岳」成果創出加速プログラム物質・材料系課題合同研究会
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Purifying deep Boltzmann machines for thermal quantum states2021
- Author(s)
  Yusuke Nomura
- Organizer
  APW-RIKEN-Tsinghua-Kavli workshop “Highlights on condensed matter physics” 2021
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] フラーレン超伝導体薄膜における超伝導のドーピング非対称性2021
- Author(s)
  野村悠祐
- Organizer
  京都大学基礎物理学研究所研究会「非自明な電子状態が生み出す超伝導現象の最前線:新たな挑戦と展望」
- Invited
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Materials design of cuprate-analog nickelates and magnetic exchange coupling2021
- Author(s)
  Yusuke Nomura
- Organizer
  2nd International Meeting on Thin Film Interfaces, Surfaces and Composite Crystals
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Artificial Neural Networks for Analyzing Quantum Many-Body Problems2021
- Author(s)
  Yusuke Nomura
- Organizer
  KMS 2021 Winter Conference (Online)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Purifying deep Boltzmann machines for thermal quantum states2021
- Author(s)
  Yusuke Nomura
- Organizer
  APW-RIKEN-Tsinghua-Kavli workshop “Highlights on condensed matter physics” 2021
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Materials design of layered d9 nickelates and magnetic exchange coupling2021
- Author(s)
  Yusuke Nomura
- Organizer
  Quantum Liquid Crystals 2021 (QLC2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Materials design of layered d9 nickelates and magnetic exchange coupling2021
- Author(s)
  Yusuke Nomura
- Organizer
  Quantum Liquid Crystals 2021 (QLC2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01041
[Presentation] Nickelate superconductivity _ A systematic computational design of dynamically stable d9 nickelates2020
- Author(s)
  M. Hirayama, T. Tadano, Y. Nomura, and R. Arita
- Organizer
  APS March Meeting 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Machine learning for analyzing strongly-correlated systems2020
- Author(s)
  Yusuke Nomura
- Organizer
  International Workshop on High-Performance Computing and Programming on Quantum Chemistry and Physics 2020 (HPCPQCP2020)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Nickelate superconductivity ーFormation of self-doped 2D single-orbital correlated electron systems in NdNiO22020
- Author(s)
  Yusuke Nomura
- Organizer
  APS March Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] 機械学習手法を用いた量子多体系の研究ー手法拡張を含む最近の進展2020
- Author(s)
  野村悠祐
- Organizer
  CMTセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] ニッケル酸化物超伝導体NdNiO2における強相関電子系形成と新物質デザイン2020
- Author(s)
  野村悠祐
- Organizer
  日本物理学会秋季大会2020
- Invited
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] ニッケル酸化物新超伝導体における強相関電子系形成と物質デザイン2020
- Author(s)
  野村悠祐
- Organizer
  京都大学基礎物理学研究所研究会「高温超伝導・非従来型超伝導研究の最前線：多様性と普遍性」
- Invited
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] ニッケル酸化物超伝導体NdNiO2における強相関電子系形成と新物質デザイン2020
- Author(s)
  野村悠祐
- Organizer
  日本物理学会秋季大会2020
- Invited
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] 機械学習を用いた2次元J1-J2ハイゼンベルグ模型の研究2020
- Author(s)
  野村悠祐
- Organizer
  物性研究所スパコン共同利用・CCMS合同研究会「計算物質科学の新展開2020」
- Invited
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Machine learning for analyzing strongly-correlated systems2020
- Author(s)
  Yusuke Nomura
- Organizer
  International Workshop on High-Performance Computing and Programming on Quantum Chemistry and Physics 2020 (HPCPQCP2020)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Machine learning quantum states ― Extension of methods and application to frustrated spin systems2020
- Author(s)
  Yusuke Nomura
- Organizer
  International Conference on Fugaku project Emergence and Functionality of Quantum Matter 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] ボルツマンマシンを用いた量子多体波動関数表現：深層ボルツマンマシンによる厳密な表現と制限ボルツマンマシンによる数値的近似表現2020
- Author(s)
  野村悠祐
- Organizer
  Deep learning and Physics 2020
- Invited
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Symmetry-adapted Wannier functions2020
- Author(s)
  Yusuke Nomura
- Organizer
  School on Wannier90 v3.0: new features and applications
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] ボルツマンマシンを用いた量子多体波動関数表現：深層ボルツマンマシンによる厳密な表現と制限ボルツマンマシンによる数値的近似表現2020
- Author(s)
  野村悠祐
- Organizer
  Deep learning and Physics 2020
- Invited
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] 第一原理計算による新たなd9層状ニッケル酸化物の理論設計2020
- Author(s)
  只野央将，平山元昭，野村悠祐，有田亮太郎
- Organizer
  日本物理学会第75回年次大会
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] ボルツマンマシンを用いた量子多体波動関数表現：深層ボルツマンマシンによる厳密な表現と制限ボルツマンマシンによる数値的近似表現2020
- Author(s)
  野村悠祐
- Organizer
  Deep learning and Physics 2020
- Invited
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] ニッケル酸化物超伝導体NdNiO2における強相関電子系形成と新物質デザイン2020
- Author(s)
  野村悠祐
- Organizer
  日本物理学会秋季大会2020
- Invited
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] ニッケル酸化物新超伝導体における強相関電子系形成と物質デザイン2020
- Author(s)
  野村悠祐
- Organizer
  京都大学基礎物理学研究所研究会「高温超伝導・非従来型超伝導研究の最前線：多様性と普遍性」
- Invited
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] 機械学習手法を用いた量子多体系の研究ー手法拡張を含む最近の進展2020
- Author(s)
  野村悠祐
- Organizer
  CMTセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] 機械学習を用いた2次元J1-J2ハイゼンベルグ模型の研究2020
- Author(s)
  野村悠祐
- Organizer
  物性研究所スパコン共同利用・CCMS合同研究会「計算物質科学の新展開2020」
- Invited
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] 機械学習手法を用いた量子多体系の研究ー手法拡張を含む最近の進展2020
- Author(s)
  野村悠祐
- Organizer
  CMTセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] ニッケル酸化物新超伝導体における強相関電子系形成と物質デザイン2020
- Author(s)
  野村悠祐
- Organizer
  京都大学基礎物理学研究所研究会「高温超伝導・非従来型超伝導研究の最前線：多様性と普遍性」
- Invited
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Machine learning for analyzing strongly-correlated systems2020
- Author(s)
  Yusuke Nomura
- Organizer
  International Workshop on High-Performance Computing and Programming on Quantum Chemistry and Physics 2020 (HPCPQCP2020)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Application of machine learning beyond benchmarks reveals Dirac-type nodal spin liquid in the J1-J2 Heisenberg model2020
- Author(s)
  Yusuke Nomura
- Organizer
  Machine Learning for Quantum Simulation
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Efficient ab initio Migdal-Eliashberg calculation considering the retardation effect in phonon-mediated superconductors2020
- Author(s)
  Tianchun Wang, Takuya Nomoto, Yusuke Nomura, Hiroshi Shinaoka, Junya Otsuki, Takashi Koretsune, Ryotaro Arita
- Organizer
  日本物理学会2020年秋季大会
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Nickelate superconductivity ーFormation of self-doped 2D single-orbital correlated electron systems in NdNiO22020
- Author(s)
  Yusuke Nomura
- Organizer
  APS March Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Machine learning quantum states ― Extension of methods and application to frustrated spin systems2020
- Author(s)
  Yusuke Nomura
- Organizer
  International Conference on Fugaku project Emergence and Functionality of Quantum Matter 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14423
[Presentation] Symmetry-adapted Wannier functions2020
- Author(s)
  Yusuke Nomura
- Organizer
  School on Wannier90 v3.0: new features and applications
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Nickelate superconductivity ーFormation of self-doped 2D single-orbital correlated electron systems in NdNiO22020
- Author(s)
  Yusuke Nomura
- Organizer
  APS March Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Application of machine learning beyond benchmarks reveals Dirac-type nodal spin liquid in the J1-J2 Heisenberg model2020
- Author(s)
  Yusuke Nomura
- Organizer
  Machine Learning for Quantum Simulation
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Machine learning quantum states ― Extension of methods and application to frustrated spin systems2020
- Author(s)
  Yusuke Nomura
- Organizer
  International Conference on Fugaku project Emergence and Functionality of Quantum Matter 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] 機械学習を用いた2次元J1-J2ハイゼンベルグ模型の研究2020
- Author(s)
  野村悠祐
- Organizer
  物性研究所スパコン共同利用・CCMS合同研究会「計算物質科学の新展開2020」
- Invited
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Application of machine learning beyond benchmarks reveals Dirac-type nodal spin liquid in the J1-J2 Heisenberg model2020
- Author(s)
  Yusuke Nomura
- Organizer
  Machine Learning for Quantum Simulation
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Symmetry-adapted Wannier functions2020
- Author(s)
  Yusuke Nomura
- Organizer
  School on Wannier90 v3.0: new features and applications
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Machine learning for solving strongly-correlated systems2019
- Author(s)
  Yusuke Nomura
- Organizer
  International Conference on Strongly Correlated Electron Systems (SCES2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] ニッケル酸化物超伝導体NdNiO2における強相関電子系形成とそのバンドエンジニアリング2019
- Author(s)
  野村悠祐
- Organizer
  基研研究会「電子相関が生み出す超伝導現象の未解決問題と新しい潮流」
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Cd2Re2O7の第一原理有効模型の構築と解析2019
- Author(s)
  近野直也, 野村悠祐, 吉見一慶, 大槻純也, 品岡寛
- Organizer
  日本物理学会第74回年次大会（2019年）
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Machine learning for solving strongly-correlated systems2019
- Author(s)
  Yusuke Nomura
- Organizer
  International Conference on Strongly Correlated Electron Systems (SCES2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] 物性物理における機械学習2019
- Author(s)
  野村悠祐
- Organizer
  パリ異分野融合科学者の会第1回研究会
- Invited
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] 電子格子相互作用のある系に対する機械学習ソルバーの開発2019
- Author(s)
  野村悠祐
- Organizer
  日本物理学会第74回年次大会（2019年）
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Machine learning for solving strongly-correlated systems2019
- Author(s)
  Yusuke Nomura
- Organizer
  International Conference on Strongly Correlated Electron Systems (SCES2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Machine learning for studying strongly correlated systems2019
- Author(s)
  Yusuke Nomura
- Organizer
  The 5th Conference on Condensed Matter Physics (CCMP)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Machine learning for solving quantum many-body Hamiltonians2019
- Author(s)
  Yusuke Nomura
- Organizer
  International Conference on Frontiers of Correlated Electron Sciences (FCES19)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Strong-coupling formula for momentum-dependent susceptibilities in the dynamical mean-field theory2019
- Author(s)
  J. Otsuki, K. Yoshimi, H. Shinaoka, Y. Nomura
- Organizer
  J-Physics 2019 International Conference
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] 物性物理における機械学習2019
- Author(s)
  野村悠祐
- Organizer
  パリ異分野融合科学者の会第1回研究会
- Invited
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Machine learning solvers for strongly-correlated systems2019
- Author(s)
  Yusuke Nomura
- Organizer
  Computational Approaches to Quantum Many-body Problems (CAQMP2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] 電子格子相互作用のある系に対する機械学習ソルバーの開発2019
- Author(s)
  野村悠祐
- Organizer
  日本物理学会　第74回年次大会
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Machine learning for studying strongly correlated systems2019
- Author(s)
  Yusuke Nomura
- Organizer
  The 5th Conference on Condensed Matter Physics (CCMP)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Machine learning for studying strongly correlated systems2019
- Author(s)
  Yusuke Nomura
- Organizer
  The 5th Conference on Condensed Matter Physics (CCMP)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] ニッケル酸化物超伝導体NdNiO2における強相関電子系形成とそのバンドエンジニアリング2019
- Author(s)
  野村悠祐
- Organizer
  基研研究会「電子相関が生み出す超伝導現象の未解決問題と新しい潮流」
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Machine learning solvers for strongly-correlated systems2019
- Author(s)
  Yusuke Nomura
- Organizer
  Computational Approaches to Quantum Many-body Problems (CAQMP2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] 制限付きボルツマンマシンを用いた量子多体系の機械学習ソルバーの開発2019
- Author(s)
  野村悠祐
- Organizer
  第八回「強相関電子系理論の最前線」
- Invited
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] 制限付きボルツマンマシンを用いた量子多体系の機械学習ソルバーの開発2019
- Author(s)
  野村悠祐
- Organizer
  第八回「強相関電子系理論の最前線」
- Invited
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Strong-coupling formula of momentum-dependent susceptibilities in dynamical mean-field theory2019
- Author(s)
  J. Otsuki, K. Yoshimi, H. Shinaoka, Y. Nomura
- Organizer
  International Conference on Frontiers of Correlated Electron Sciences (FCES19)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] ニッケル酸化物超伝導体NdNiO2における強相関電子系形成とそのバンドエンジニアリング2019
- Author(s)
  野村悠祐
- Organizer
  基研研究会「電子相関が生み出す超伝導現象の未解決問題と新しい潮流」
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] 電子格子相互作用のある系に対する機械学習ソルバーの開発2019
- Author(s)
  野村悠祐
- Organizer
  日本物理学会　第74回年次大会
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] 制限付きボルツマンマシンを用いた量子多体系の機械学習ソルバーの開発2019
- Author(s)
  野村悠祐
- Organizer
  第八回「強相関電子系理論の最前線」
- Invited
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] 物性物理における機械学習2019
- Author(s)
  野村悠祐
- Organizer
  パリ異分野融合科学者の会第1回研究会
- Invited
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] トポロジカルディラック電子系におけるポンピングの半量子化とスピン軌道トルク2019
- Author(s)
  三澤貴宏、野村健太郎
- Organizer
  日本物理学会第74回年次大会（2019年）
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Machine learning for solving quantum many-body Hamiltonians2019
- Author(s)
  Yusuke Nomura
- Organizer
  International Conference on Frontiers of Correlated Electron Sciences (FCES19)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Machine learning for solving quantum many-body Hamiltonians2019
- Author(s)
  Yusuke Nomura
- Organizer
  International Conference on Frontiers of Correlated Electron Sciences (FCES19)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Machine learning solvers for strongly-correlated systems2019
- Author(s)
  Yusuke Nomura
- Organizer
  Computational Approaches to Quantum Many-body Problems (CAQMP2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Semi-Quantized Pumping and Spin-Orbit Torque in Topological Dirac Semimetals2019
- Author(s)
  Takahiro Misawa, Kentaro Nomura
- Organizer
  APS March meeting, Boston
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Machine-learning solvers for quantum many-body systems2018
- Author(s)
  Yusuke Nomura
- Organizer
  日本物理学会　2018度秋季大会
- Invited
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Recent progress in machine-learning solvers: calculations of excited states and extensions to electron-phonon coupled systems2018
- Author(s)
  Yusuke Nomura
- Organizer
  Mini-workshop on “Machine Learning in Physics"
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] 制限ボルツマンマシンを用いた量子多体系の機械学習ソルバー2018
- Author(s)
  野村悠祐
- Organizer
  強的秩序とその操作に関わる研究グループ第6回研究会
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Machine learning using Boltzmann machines for solving strongly correlated systems2018
- Author(s)
  Yusuke Nomura
- Organizer
  Computational Approaches to Magnetic Systems (CAMS 2018)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Spin Pumping and Inverse Spin Hall Effect in Topological Dirac Semimetals2018
- Author(s)
  三澤貴宏, 野村健太郎
- Organizer
  APS March meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Recent progress in machine-learning solvers: calculations of excited states and extensions to electron-phonon coupled systems2018
- Author(s)
  Yusuke Nomura
- Organizer
  Mini-workshop on “Machine Learning in Physics"
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Recent progress in machine-learning solvers: calculations of excited states and extensions to electron-phonon coupled systems2018
- Author(s)
  Yusuke Nomura
- Organizer
  Mini-workshop on “Machine Learning in Physics"
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] トポロジカルディラック電子系のスピンホール効果を利用したスピンスイッチング2018
- Author(s)
  三澤貴宏, 野村健太郎
- Organizer
  日本物理学会年次大会
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] 機械学習を用いた量子多体系の基底状態計算2018
- Author(s)
  野村悠祐
- Organizer
  物性研究所スパコン共同利用・CCMS合同研究会「計算物質科学の今と未来」
- Invited
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] 機械学習を用いた量子多体系の基底状態計算2018
- Author(s)
  野村悠祐
- Organizer
  物性研究所スパコン共同利用・CCMS合同研究会「計算物質科学の今と未来」
- Invited
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Solving quantum many-body Hamiltonians with artificial neural networks2018
- Author(s)
  Yusuke Nomura
- Organizer
  Tensor Network States: Algorithms and Applications (TNSAA) 2018-2019
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] 制限ボルツマンマシンを用いた量子多体系の機械学習ソルバー2018
- Author(s)
  野村悠祐
- Organizer
  強的秩序とその操作に関わる研究グループ第6回研究会
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Solving quantum many-body Hamiltonians with artificial neural networks2018
- Author(s)
  Yusuke Nomura
- Organizer
  Tensor Network States: Algorithms and Applications (TNSAA) 2018-2019
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Restricted-Boltzmann-Machine Learning for Solving Hubbard and Heisenberg Models2018
- Author(s)
  Yusuke Nomura, Andrew S. Darmawan, Youhei Yamaji, Masatoshi Imada
- Organizer
  APS March meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] 深層ボルツマンマシンを用いた量子多体系の基底状態波動関数の厳密な構築2018
- Author(s)
  Giuseppe Carleo、野村悠祐(登壇者)、今田正俊
- Organizer
  日本物理学会第73回年次大会
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] 機械学習を用いた量子多体系の基底状態計算2018
- Author(s)
  野村悠祐
- Organizer
  物性研究所スパコン共同利用・CCMS合同研究会「計算物質科学の今と未来」
- Invited
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] 強相関系の数値的研究: フラーレン超伝導体の研究・機械学習の技術を使った多体系ソルバー2018
- Author(s)
  野村悠祐
- Organizer
  第38回kyutechセミナー・応用物理学会特別講演会
- Invited
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] 深層ボルツマンマシンを用いた量子多体系の基底状態波動関数の厳密な構築2018
- Author(s)
  Giuseppe Carleo、野村悠祐(登壇者)、今田正俊
- Organizer
  日本物理学会第73回年次大会
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Machine-learning solvers for quantum many-body systems2018
- Author(s)
  Yusuke Nomura
- Organizer
  日本物理学会　2018度秋季大会
- Invited
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Restricted-Boltzmann-Machine Learning for Solving Hubbard and Heisenberg Models2018
- Author(s)
  Yusuke Nomura, Andrew S. Darmawan, Youhei Yamaji, Masatoshi Imada
- Organizer
  APS March meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Machine-learning solvers for quantum many-body systems2018
- Author(s)
  Yusuke Nomura
- Organizer
  日本物理学会　2018度秋季大会
- Invited
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] Machine learning using Boltzmann machines for solving strongly correlated systems2018
- Author(s)
  Yusuke Nomura
- Organizer
  Computational Approaches to Magnetic Systems (CAMS 2018)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Solving quantum many-body Hamiltonians with artificial neural networks2018
- Author(s)
  Yusuke Nomura
- Organizer
  Tensor Network States: Algorithms and Applications (TNSAA) 2018-2019
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Machine learning using Boltzmann machines for solving strongly correlated systems2018
- Author(s)
  Yusuke Nomura
- Organizer
  Computational Approaches to Magnetic Systems (CAMS 2018)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] 強相関系の数値的研究: フラーレン超伝導体の研究・機械学習の技術を使った多体系ソルバー2018
- Author(s)
  野村悠祐
- Organizer
  第38回kyutechセミナー・応用物理学会特別講演会
- Invited
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Development of machine-learning solvers for analyzing strongly-correlated electron systems2018
- Author(s)
  野村悠祐
- Organizer
  H30年度ポスト「京」重点課題（７）第3回CDMSI研究会
- Data Source
  KAKENHI-PROJECT-18H01158
[Presentation] 格子上の量子多体系のための、多変数変分モンテカルロ法を組み合わせたニューラル・ネットワーク法の開発2017
- Author(s)
  野村悠祐、Andrew S. Darmawan、山地洋平、今田正俊
- Organizer
  日本物理学会　2017年秋季大会
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] アルカリ金属をドープしたフラーレン化合物における高温s 波超伝導の第一原理的研究2017
- Author(s)
  野村悠祐
- Organizer
  日本物理学会第72 回年次大会
- Invited
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] 制限付きボルツマンマシンを用いた量子多体系の機械学習ソルバーの開発2017
- Author(s)
  野村悠祐
- Organizer
  第七回「強相関電子系理論の最前線」
- Invited
- Data Source
  KAKENHI-PROJECT-17K14336
[Presentation] Review on first-principles calculations using DMFT2017
- Author(s)
  野村悠祐
- Organizer
  動的平均場近似計算に関する情報交流会(ワークショップ)
- Invited
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Exotic s-wave superconductivity in alkali-doped fullerides: equilibrium and non-equilibrium properties　ポスター2017
- Author(s)
  Y. Nomura
- Organizer
  DMREF-FCMP Symposium on Mott Transitions and Computational Approaches
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] トポロジカルディラック電子系におけるスピン注入による量子輸送現象2017
- Author(s)
  三澤貴宏, 野村健太郎
- Organizer
  日本物理学会　2017年秋季大会
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Introduction to TRILEX: local correlation + long-range fluctuation2017
- Author(s)
  野村悠祐
- Organizer
  動的平均場近似計算に関する情報交流会(ワークショップ)
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] 格子上の量子多体系のための、多変数変分モンテカルロ法を組み合わせたニューラル・ネットワーク法の開発2017
- Author(s)
  野村悠祐、Andrew S. Darmawan、山地洋平、今田正俊
- Organizer
  日本物理学会　2017年秋季大会
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Enhancing superconductivity in alkali-doped fullerides2017
- Author(s)
  Y. Nomura
- Organizer
  CEMS-QPEC Topical Meeting on Superconductivity under Extreme Conditions
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] 制限付きボルツマンマシンを用いた量子多体系の機械学習ソルバーの開発2017
- Author(s)
  野村悠祐
- Organizer
  第七回「強相関電子系理論の最前線」
- Invited
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Enhancing superconductivity in A3C60 fullerides2017
- Author(s)
  Y. Nomura
- Organizer
  日本物理学会第72 回年次大会
- Invited
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Enhancing superconductivity in A3C60 (A=K, Rb, Cs)　ポスター2017
- Author(s)
  Y. Nomura
- Organizer
  CEMS-QPEC Symposium on Emergent Quantum Materials
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] ニッケル酸化物における金属絶縁体転移の第一原理的研究2016
- Author(s)
  野村悠祐
- Organizer
  強的秩序とその操作に関わる研究グループ第4回研究会
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] What about U in surface adatom systems? - Interplay of charge and spin degrees of freedom2016
- Author(s)
  Y. Nomura
- Organizer
  What about U? - Effects of Hubbard Interactions and Hund’s Coupling in Solids
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345
[Presentation] Interplay of charge and spin degrees of freedom in surface adatom systems　ポスター2016
- Author(s)
  Y. Nomura
- Organizer
  2nd International Symposium on Research and Education of Computational Science (RECS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16H06345

1. Otsuki Junya (60513877)

# of Collaborated Projects: 3 results

# of Collaborated Products: 4 results
2. 吉見一慶 (10586910)

# of Collaborated Projects: 2 results

# of Collaborated Products: 3 results
3. 品岡寛 (40773023)

# of Collaborated Projects: 2 results

# of Collaborated Products: 5 results
4. IMADA Masatoshi (70143542)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
5. 山地洋平 (00649428)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
6. 三澤貴宏 (10582687)

# of Collaborated Projects: 1 results

# of Collaborated Products: 7 results
7. 三宅隆 (30332638)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 大槻東巳 (50201976)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 井戸康太 (50827251)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 中村和磨 (60525236)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
11. 平山元昭 (70761005)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
12. 有田亮太郎 (80332592)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
13. 望月維人 (80450419)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
14. 酒井志朗 (80506733)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
15. 只野央将 (90760653)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
16. 大越孝洋 (10750911)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
17. 大関真之 (80447549)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
18. 服部一匡 (30456199)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
19. 速水賢 (20776546)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
20. 是常隆 (90391953)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
21. NOMURA Kentaro

# of Collaborated Projects: 0 results

# of Collaborated Products: 3 results
22. プラシデスコスマス

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
23. 渡辺悠樹

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
24. 辻直人

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
25. 鬼頭俊介

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
26. 北谷基治

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

NOMURA YUSUKE 野村 悠祐

Nomura Yusuke 野村 悠祐

Research Projects

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機械学習手法を用いた量子多体ソルバーの開発と応用Principal Investigator

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Frontier of Machine Learning Methods for Quantum Many-body SystemsPrincipal Investigator

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Fundamental Theories and Theoretical Design of Asymmetric Quantum Matters

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Accurate representation of quantum data for promoting materials science and quantum technologyPrincipal Investigator

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Development of theories for strongly correlated materials design

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First-principles calculations for strongly-correlated materials with an interdisciplinary approach based on machine learning and physicsPrincipal Investigator

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Realization of first-principles calculations of magnetism and superconductivity by compression of high-dimensional data

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Investigation of roles of phonons and phonon-induced functional properties in strongly-correlated materialsPrincipal Investigator

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Materials Design and Exploration of Functions for Strongly Correlated Materials - Challenges to Non-equilibrium and Non-Periodic Systems

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[Journal Article] A microscopic Kondo lattice model for the heavy fermion antiferromagnet CeIn32024

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[Journal Article] Observation of anomalous Hall resonance of massive Dirac fermions in topological kagome-lattice magnet2024

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[Journal Article] Boltzmann machines and quantum many-body problems2023

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[Journal Article] Instability of the Pa-3 fulleride Cs3C60 at ambient pressure and superconducting state of the fcc phase2023

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[Journal Article] Visualization of 4d orbital electrons in a pyrochlore-type oxide2023

NOMURA YUSUKE 野村悠祐

Nomura Yusuke 野村悠祐

[Journal Article] 機械学習手法を用いて量子多体系に挑む　―手法拡張を含む最近の進展―2021