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J-GLOBAL ID:200901008827204586   Update date: Jul. 22, 2024

Tomi Ohtsuki

オオツキ トウミ | Tomi Ohtsuki
Affiliation and department:
Job title: Professor
Other affiliations (1):
  • Sophia University
Homepage URL  (1): https://sites.google.com/view/tomiohtsukiwebsite/home
Research field  (1): Mathematical physics and basic theory
Research keywords  (7): machine learning in condensed matter physics ,  physics of non-Hermitian systems ,  spintronics ,  quantum transport phenomena ,  spin ,  Scaling theory ,  Anderson localization
Research theme for competitive and other funds  (27):
  • 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
  • 2021 - 2026 トポロジカル磁性体のマグノンドラッグ効果を用いたスピン流熱電効果
  • 2019 - 2024 Scaling theories of random quantum systems
  • 2016 - 2021 Materials Design and Exploration of Functions for Strongly Correlated Materials - Challenges to Non-equilibrium and Non-Periodic Systems
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Papers (205):
  • Gekko Budiutama, Shunsuke Daimon, Hirofumi Nishi, Ryui Kaneko, Tomi Ohtsuki, Yu-ichiro Matsushita. Channel attention for quantum convolutional neural networks. Physical Review A. 2024. 110. 1
  • Alexey A. Kaverzin, Shunsuke Daimon, Takashi Kikkawa, Tomi Ohtsuki, Eiji Saitoh. Negative longitudinal resistance of monolayer graphene in the quantum Hall regime. Applied Physics Letters. 2024
  • Tilen Čadež, Barbara Dietz, Dario Rosa, Alexei Andreanov, Keith Slevin, Tomi Ohtsuki. Machine learning wave functions to identify fractal phases. Physical Review B. 2023. 108. 18
  • Tong Wang, Zhiming Pan, Keith Slevin, Tomi Ohtsuki. Critical behavior of the Anderson transition in higher-dimensional Bogoliubov-de Gennes symmetry classes. Physical Review B. 2023. 108. 14
  • Kohei Kawabata, Zhenyu Xiao, Tomi Ohtsuki, Ryuichi Shindou. Singular-Value Statistics of Non-Hermitian Random Matrices and Open Quantum Systems. PRX Quantum. 2023. 4. 4
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MISC (139):
  • Phase diagrams of random electron systems obtained by multilayer convolutional neural network. 2018. 53. 8. 447-454
  • 大槻東巳. 巻頭言:電子化と大学の物理教育. 大学の物理教育. 2018. 24. 2. 42-42
  • 大槻東巳. ニューラルネットワークを使った物性物理学. 人工知能. 2018. 33. 4. 429-434
  • Ohtsuki Tomi, Kobayashi Koji, Sacksteder Vincent. Density of states and conductance in disordered topological insulator surfaces (Spectra of Random Operators and Related Topics). RIMS Kokyuroku. 2015. 1970. 90-95
  • 大槻東巳. 巻頭言:オンライン,オンライン. 日本物理学会誌. 2015. 70. 7. 505-505
more...
Books (11):
  • 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
  • Advanced Topological Insulators "Topological Matter in the Absence of Translational Invariance"
    Wiley-Scrivener 2019 ISBN:9781119407294
  • Topological Matter in the Absence of Translational Invariance
    Wiley online library 2019 ISBN:9781119407317
  • Conductor-Insulator Quantum Phase Transitions
    Oxford University Press 2012 ISBN:9780199592593
  • 物性物理学ハンドブック
    朝倉書店 2012 ISBN:9784254131031
more...
Professional career (3):
  • Doctor of Philosophy (The University of Tokyo)
  • 理学修士 (東京大学)
  • 理学博士 (東京大学)
Awards (8):
  • 2022/05 - Physical Society of Japan 2021 Highly cited article Drawing Phase Diagrams of Random Quantum Systems by Deep Learning the Wave Functions
  • 2021/02/25 - American Physical Society APS outstanding referee award United States of America
  • 2019/05/21 - The Physical Society of Japan 2018 Highly cited article
  • 2019/03/16 - Physical Society of Japan The 24th Outstanding Paper Award of the Physical Society of Japan Japan
  • 2018/04/20 - The Physical Society of Japan 2017 Highly cited article
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Association Membership(s) (2):
日本物理学会 ,  American Physical Society
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