TAMURA Tomoyuki

写真a

Affiliation Department etc.

Department of Physical Science and Engineering
Department of Physical Science and Engineering

Title

Associate Professor

Mail Address

E-mail address

Graduate School

  •  
    -
    2004.03

    The University of Tokyo  Graduate School, Division of Engineering  Doctor's Course  Completed

External Career

  • 2015.08
    -
    2020.03

      Researcher  

  • 2010.01
    -
    2010.03

      Researcher  

  • 2005.01
    -
    2009.12

      Researcher  

  • 2004.04
    -
    2004.12

      Researcher  

 

Papers

  • Machine learning based prediction of lattice thermal conductivity for half-Heusler compounds using atomic information

    Hidetoshi Miyazaki, Tomoyuki Tamura, Masashi Mikami, Kosuke Watanabe, Naoki Ide, Osman Murat Ozkendir, Yoichi Nishino

    Scientific Reports ( Nature Research )  11   13410-1 - 13410-8   2021.06  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • Diffusion of protons and sodium ions in silicophosphate glasses: insight based on first-principles molecular dynamic simulations

    Kazuya Takada, Tomoyuki Tamura, Hirotaka Maeda, Toshihiro Kasuga

    Physical Chemistry Chemical Physics ( Royal Society of Chemistry )  23   14580 - 14586   2021.06  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • First-principles XANES simulation for oxygen-related defects in Si-O amorphous materials

    Wataru Katayama, Tomoyuki Tamura, Yuya Nishino, Takakazu Hirose

    Computational Materials Science ( Elsevier )  196   110555-1 - 110555-7   2021.05  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • Prediction of formation energies of large-scale disordered systems via active-learning based executions of ab initio local-energy calculations: a case study on a Fe random grain boundary model with millions of atoms

    Tomoyuki Tamura, Masayuki Karasuyama

    Physical Review Materials   4   113602-1 - 113602-13   2020.11  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • Machine-Learning-based Prediction of Lattice Thermal Conductivity for Half-Heusler Compounds using Atomic Information

    Hidetoshi Miyazaki, Tomoyuki Tamura, Masashi Mikami, Kosuke Watanabe, Ide Naoki, Osman Murat Ozkendir, Yoichi Nishino

    arXiv.org     2020.10

    Research paper (scientific journal)   Multiple Authorship

  • Multi-objective Bayesian Optimization using Pareto-frontier Entropy

    Shinya Suzuki, Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama

    Proceedings of The 37th International Conference on Machine Learning (ICML 2020)     2020.07  [Refereed]

    Research paper (other science council materials etc.)   Multiple Authorship

  • Computational design of stable and highly ion-conductive materials using multi-objective bayesian optimization: Case studies on diffusion of oxygen and lithium

    Masayuki Karasuyama, Hiroki Kasugai, Tomoyuki Tamura, Kazuki Shitara

    Computational Materials Science ( Elsevier )  184   109927   2020.06  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • Knowledge-Transfer based Cost-effective Search for Interface Structures: A Case Study on fcc-Al [110] Tilt Grain Boundary

    Tomohiro Yonezu, Tomoyuki Tamura, Ichiro Takeuchi, Masayuki Karasuyama

    Phys Review Materials ( The American Physical Society )  2   113802-1 - 113802-9   2018.11  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • Fast and scalable prediction of local energy at grain boundaries: Machine-learning based modeling of first-principles calculations

    T. Tamura, M. Karasuyama, R. Kobayashi, R. Arakawa, Y. Shiihara, I. Takeuchi

    Modelling and Simulation in Materials Science and Engineering ( IOP Publishing Ltd )  25   075003-1 - 075003-21   2017.08  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

  • Combination of first-principles molecular dynamics and XANES simulations for LiCoO2-electrolyte interfacial reactions in a Li-ion battery

    Tomoyuki Tamura, Masanori Kohyama, Shuji Ogata

    Physical Review B ( American Physical Society )  96   035107-1 - 035107-8   2017.07  [Refereed]

    Research paper (scientific journal)   Multiple Authorship

display all >>

Review Papers

  • Introducing Information Science into Grain Boundary Property Research

      55 ( 9 ) 656 - 661   2020.09  [Invited]

    Introduction and explanation (others)   Multiple Authorship

Presentations

  • 骨形成機能を強化する40SiO2・40MgO・20Na2Oガラスの構造

    木谷綾夏, 田村友幸, 前田浩孝, 小幡亜希子, 春日敏宏

    2021年度日本セラミックス協会東海支部学術研究発表会  (オンライン)  2021.11  -  2021.11 

  • Fast and scalable prediction of local energy at grain boundaries: Machine-learning based modeling of first-principles calculations

    T. Tamura, M. Karasuyama, R. Kobayashi, R. Arakawa, Y. Shinhara, and I. Takeuchi

    MMM2018 (9th International Conference on Multiscale Materials Modeling)  (Osaka)  2018.11  -  2018.11 

  • First-principles K-edge XANES simulation for doped Ti in CaO-P2O5 invert glass

    T. Tamura, H. Maeda, M. Kohyama

    GOMD2017 (Glass & Optical Materials Division Annual Meeting)  (Hawaii)  2017.06  -  2017.06  American Ceramics Society

  • Formation and Structure of Calcium Phosphate Invert Glasses

    T. Kasuga, H. Maeda, T. Tamura, A. Obata, S. Lee, T. Nakano  [Invited]

    GOMD2017 (Glass & Optical Materials Division Annual Meeting)  (Hawaii)  2017.06  -  2017.06  American Ceramics Society

  • Statistical Prediction of Grain-Boundary Properties

    T. Tamura, R. Arakawa, M. Karasuyama, R. Kobayashi, S. Ogata

    PRICM9 (The 9th Pacific Rim International Conference of Advanced Materials and Processing)  2016.08  -  2016.08 

  • Statistical Prediction of Grain-boundary Properties

    T. Tamura, R. Arakawa, M. Karasuyama, R. Kobayashi, S. Ogata

    ISAM4 2016 (The third International Symposium on Atomistic Modeling for Mechanics and Multiphysics of Materials)  (Brno , Czech Republic)  2016.06  -  2016.06 

  • First-principles in-situ XAS simulation of chemical reaction at cathode-electrolyte interface in Li-ion batteries

    T. Tamura  [Invited]

    Pacifichem 2015 (The International Chemical Congress of Pacific Basin Societies 2015)  (Honolulu, Hawaii)  2015.12  -  2015.12 

  • First-principles in-situ XAS simulation of chemical reaction at cathode - electrolyte interface in Li-ion batteries

    T. Tamura, R. Kobayashi, S. Ogata

    ISEPD2015 (The 16th International Symposium on Eco-materials Processing and Design)  (Kathmandu, Nepal)  2015.01  -  2015.01 

  • First-principles study of transition-metal K-edge XANES for Li-rich solid-solution layered cathode material

    T. Tamura, R. Kobayashi, S. Ogata

    ACCMS-VO9 (The 9th General Meeting of Asian Consortium on Computational Materials Science - Virtual Organization)  (沖縄科学技術大学院大学)  2014.12  -  2014.12