Rchr
J-GLOBAL ID:201001034466856763   Update date: Oct. 29, 2024

Endo Tomohiro

エンドウ トモヒロ | Endo Tomohiro
Affiliation and department:
Job title: Associate Professor
Research field  (1): Nuclear engineering
Research keywords  (5): Data Assimilation ,  Uncertainty Quantification ,  Subcriticality Measurement ,  Critical Safety ,  Reactor Physics
Research theme for competitive and other funds  (7):
  • 2021 - 2024 Improvement of prediction accuracy of advanced reactors: Precise and robust cross section adjustment method based on active subspace approach
  • 2019 - 2022 Development of subcritical measurement technique for unknown systems
  • 2018 - 2022 Estimation of statistical error of probability table using bootstrap method
  • 2017 - 2019 Data assimilation using subcritical measurement to reduce prediction uncertainty in criticality analysis
  • 2016 - 2019 Uncertainty quantification of reactor analysis method at design extension condition: A new estimation method based on covariance between input and prediction error
Show all
Papers (108):
  • Shuhei Maruyama, Akio Yamamoto, Tomohiro Endo. Quantifying uncertainty induced by scattering angle distribution using maximum entropy method. Annals of Nuclear Energy. 2024. 205. 110591
  • Cheol Ho Pyeon, Tomohiro Endo, Go Chiba, Kenichi Watanabe, Genichiro Wakabayashi. Nuclear education programs with reactor laboratory experiments at zero-powered research reactor facilities in Japan. Annals of Nuclear Energy. 2024. 204. 110531-110531
  • Akio Yamamoto, Tomohiro Endo, Satoshi Takeda, Kazuya Yamaji, Hiroki Koike, Koji Asano. Simplified Treatment of Coating Layers in TRISO Fuel in Statistical Geometry Method in Monte Carlo Calculation. Nuclear Science and Engineering. 2024. xxx. xx. xx-xx
  • Yoshiki Oshima, Tomohiro Endo, Akio Yamamoto. Development of Multigroup Monte Carlo Neutron Transport Method with Regionwise Even-Parity Discontinuity Factor. Nuclear Science and Engineering. 2024. xxx. xx. xx-xx
  • Ryoichi Kondo, Tomohiro Endo, Akio Yamamoto. Flux distribution tallies using proper orthogonal decomposition in Monte Carlo calculations. Journal of Nuclear Science and Technology. 2024. xx. x. xxx-xxx
more...
MISC (181):
  • Akio Yamamoto, Tomohiro Endo, Satoshi Takeda, Kazuya Yamaji, Hiroki Koike, Koji Asano. Simplified Treatment of Coating Layers in TRISO Fuel in Statistical Geometry Method in Monte Carlo Calculation. Proc. PHYSOR2024. 2024. 7018
  • Yuki Urase, Tomohiro Endo, Akio Yamamoto. Reconstruction of In-Core Power Distribution Based on POD Using Ex-Core Detector Signals. Proc. PHYSOR2024. 2024. 6988
  • Rikuto Kasama, Akio Yamamoto, Tomohiro Endo. Loading Pattern Optimization for LWRs Using Monte Carlo Tree Search. Proc. PHYSOR2024. 2024. 6863
  • Taiyo Moribe, Tomohiro Endo, Akio Yamamoto, Junichi H. Kaneko. Investigation of Subcriticality Monitoring Method Using Improved Simplest Reactivity Estimator with Bilateral Filter. Proc. PHYSOR2024. 2024. 6805
  • Ryoga Hirota, Tomohiro Endo, Akio Yamamoto, Kenichi Watanabe, Junichi H. Kaneko. Statistical Error Estimation of Autocorrelation Method Using Circular Block Bootstrap Method. Proc. PHYSOR2024. 2024. 6803
more...
Books (3):
  • Introduction to Nuclear Reactor Experiments
    Springer Singapore 2023 ISBN:9789811965890
  • 原子炉実験入門: 原子力科学を学ぶ学生のために
    Kyoto University Press 2022 ISBN:4814003986
  • 原子炉の物理
    日本原子力学会 2019 ISBN:9784890471720
Lectures and oral presentations  (64):
  • Study on autocorrelation method focusing on delayed neutron component: (1) Derivation of theoretical formula
    (Atomic Energy Society of Japan 2024 Fall Meeting 2024)
  • Real-Time 3D Fine Spatial Mesh Kinetics Simulator Using POD for Coupled Core
    (International Conference on Physics of Reactors (PHYSOR 2024) 2024)
  • Development of Hands-on Reactor Programs under ANEC
    (Atomic Energy Society of Japan 2024 Annual Meeting 2024)
  • Development of an Educational Real-Time 3D Reactor Simulator Considering Spatial Dependence
    (Atomic Energy Society of Japan 2024 Annual Meeting 2024)
  • Statistical Uncertainty Quantification for Autocorrelation Method Using Stationary Bootstrap Method
    (Atomic Energy Society of Japan 2024 Annual Meeting 2024)
more...
Education (3):
  • 2004 - 2007 Nagoya University Graduate School of Engineering, Doctor Course Latter Term Department of Materials, Physics and Energy Engineering
  • 2002 - 2004 Nagoya University Graduate School of Engineering, Doctor Course Previous Term Department of Nuclear Engineering
  • 1998 - 2002 Nagoya University Faculty of Engineering Department of Physical Science and Engineering
Professional career (2):
  • Ph.D. (Nagoya University)
  • Ph.D. (Nagoya University)
Work history (3):
  • 2019/09 - 現在 Nagoya University Graduate School of Engineering, Department of Applied Energy Associate Professor
  • 2017/04 - 2019/08 Nagoya University Graduate School of Engineering, Department of Applied Energy Assistant Professor
  • 2010/04 - 2017/03 Nagoya University Graduate School of Engineering, Department of Materials, Physics and Energy Engineering Assistant Professor
Committee career (2):
  • 2013/07 - 2017/06 日本原子力学会編集委員会 編集委員
  • 2011/12 - 2014/12 日本原子力学会プログラム編成ワーキンググループ プログラム編成委員
Awards (10):
  • 2024/03 - Atomic Energy Society of Japan The 56th Atomic Energy Society of Japan Best Paper Award Uncertainty reduction of sodium void reactivity using data from a sodium shielding experiment
  • 2023/12 - Korean Nuclear Society Outstanding reviewer of "Nuclear Engineering and Technology"
  • 2022/12 - Korean Nuclear Society Outstanding reviewer of "Nuclear Engineering and Technology"
  • 2021/03 - Atomic Energy Society of Japan JNST Most Popular Article Award 2020 Experimental validation of unique combination numbers for third- and fourth-order neutron correlation factors of zero-power reactor noise
  • 2020/03 - Atomic Energy Society of Japan JNST Most Popular Article Award 2019 Sensitivity Analysis of Prompt Neutron Decay Constant using Perturbation Theory
Show all
Association Membership(s) (2):
American Nuclear Society ,  Atomic Energy Society of Japan
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page