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J-GLOBAL ID:201901013148816727   Update date: May. 16, 2024

Yamashita Tomoki

Yamashita Tomoki
Affiliation and department:
Research field  (1): Mathematical physics and basic theory
Research keywords  (3): 機械学習 ,  結晶構造探索 ,  第一原理計算
Research theme for competitive and other funds  (4):
  • 2023 - 2028 Construction of physical property correlation based on entropy and creation of new thermal control materials
  • 2021 - 2024 強化学習LAQAを用いた高効率結晶構造探索手法の開発およびソフトウェア化
  • 2018 - 2020 Development of crystal structure prediction methods using machine learning
  • 2011 - 2012 計算科学的アプローチによる半導体ナノ構造の形成および物性に関する研究
Papers (25):
  • Tomoki Yamashita, Hirotaka Sekine. Improvement of look ahead based on quadratic approximation for crystal structure prediction. Science and Technology of Advanced Materials: Methods. 2022. 2. 1. 84-90
  • Tomoki Yamashita, Hiori Kino, Koji Tsuda, Takashi Miyake, Tamio Oguchi. Hybrid algorithm of Bayesian optimization and evolutionary algorithm in crystal structure prediction. Science and Technology of Advanced Materials: Methods. 2022. 2. 1. 67-74
  • Tomoki Yamashita, Shinichi Kanehira, Nobuya Sato, Hiori Kino, Kei Terayama, Hikaru Sawahata, Takumi Sato, Futoshi Utsuno, Koji Tsuda, Takashi Miyake, et al. CrySPY: a crystal structure prediction tool accelerated by machine learning. Science and Technology of Advanced Materials: Methods. 2021. 1. 1. 87-97
  • Nobuya Sato, Tomoki Yamashita, Tamio Oguchi, Koji Hukushima, Takashi Miyake. Adjusting the descriptor for a crystal structure search using Bayesian optimization. Physical Review Materials. 2020. 4. 3. 033801-1-033801-9
  • Fine-grained optimization method for crystal structure prediction. npj Computational Materials. 2018. 4. 1. 32-1-32-8
more...
Books (2):
  • マテリアルズインフォマティクス = Materials informatics
    共立出版 2022 ISBN:9784320072022
  • マテリアルズ・インフォマティクス開発事例最前線
    エヌ・ティー・エス 2021 ISBN:9784860437084
Lectures and oral presentations  (2):
  • Crystal Structure Prediction for Li-Mg-P2O7 Using First-principles Calculations
    (MRM2023/IUMRS-ICA2023 2023)
  • CrySPYを用いたLi4xMg2(1-x)P2O7の結晶構造探索
    (2023年第84回応用物理学会秋季学術講演会 2023)
Association Membership(s) (3):
応用物理学会 ,  日本物理学会 ,  日本MRS
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