Rchr
J-GLOBAL ID:202001003865872696   Update date: Sep. 25, 2024

Sakakima Hiroki

Sakakima Hiroki
Affiliation and department:
Research field  (1): Machine materials and mechanics
Research theme for competitive and other funds  (1):
  • 2020 - 2022 Development of dislocation dynamics simulator for 4H-SiC power devices
Papers (22):
  • Kohei FUKUMOTO, Hiroki SAKAKIMA, Ryo FURUTANI, Takeshi KAWASAKI, Satoshi IZUMI. Machine learning surrogate model for finite element analysis of railway vehicles using principal component analysis and multilayer perceptron. Transactions of the JSME (in Japanese). 2024. 90. 937. 24-00133
  • Yuki Ohuchi, Hidenori Saeki, Hiroki Sakakima, Satoshi Izumi. Near-Interface Defect Decomposition during NO Annealing Analyzed by Molecular Dynamics Simulations. Defect and Diffusion Forum. 2024. 434. 93-98
  • Ryo UETA, Kimiyasu YOSHIMURA, Teruaki BABA, Hideyuki NAKAMURA, Takeshi KAWASAKI, Kohei FUKUMOTO, Hiroki SAKAKIMA, Satoshi IZUMI. Development of simplified finite-element model using interpolation rigid-body element for bolted joint of attachment rail in rolling stock. Transactions of the JSME (in Japanese). 2024. 90. 936. 24-00049
  • Yusuke MIURA, Akito TERAKADO, Hiroki SAKAKIMA, Kota TOMARU, Kazuhiro SASAKI, Toshiyuki KANEDA, Satoshi IZUMI. Investigation of the mechanism of impact vibration enhancement at the joint of tongue rail in turnout based on the combination of displacement measurement with small-size cameras and finite element analysis. Transactions of the JSME (in Japanese). 2024. 90. 936. 24-00111
  • Atsuo Hirano, Hiroki Sakakima, Asuka Hatano, Satoshi Izumi. Effects of terraces and steps on the 4H-SiC BPD-TED conversion rate: A reaction pathway analysis. Journal of Applied Physics. 2024. 135. 9. 095701
more...
MISC (31):
  • 小川京悟, 榊間大輝, 宮崎桜子, 泉聡志. Exploration of the mechanical properties of carbon-incorporated amorphous silica using a universal neural network potential. マルチスケール材料力学シンポジウム講演論文集(CD-ROM). 2024. 9th
  • 旭晃弘, 榊間大輝, 泉聡志. Automatic generation of data set for creating interatomic potential using variational autoencoder. マルチスケール材料力学シンポジウム講演論文集(CD-ROM). 2024. 9th
  • 榊間大輝, 泉聡志. Fundamental analysis of the effect of excess electrons and holes on the stability of SiC polytypes and stacking faults using first-principles calculations. 応用物理学会春季学術講演会講演予稿集(CD-ROM). 2023. 70th
  • 平能敦雄, 榊間大輝, 波田野明日可, 泉聡志. Development of a new charge transfer interatomic potential for 4H-SiC and application for the contraction of partial BPDs. 応用物理学会春季学術講演会講演予稿集(CD-ROM). 2023. 70th
  • 岡澤拓史, 榊間大輝, 泉聡志, 小林森, 河口健太郎, 宮内勇馬. Development of Interatomic Potential for ZnDTP Tribofilm Formation and its Application to Interfacial Sliding. マルチスケール材料力学シンポジウム講演論文集(CD-ROM). 2023. 8th
more...
Lectures and oral presentations  (3):
  • Exploration of Elastic Properties and Atomistic Networks of C, N-Incorporated Silicon Oxide Films Using a Universal Neural Network Potential
    (2024)
  • ZnDTP由来トライボフィルム用原子間ポテンシャルの開発と摺動現象への適用
    (NIMSナノシミュレーションワークショップ2023 2023)
  • 4H-SiCのフォノン変形ポテンシャルの決定とパワーデバイスの応力評価への適用
    (NIMSナノシミュレーションワークショップ2018 2018)
Education (3):
  • 2017 - 2020 The University of Tokyo The Graduate School of Engineering Department of Mechanical Engineering
  • 2015 - 2017 The University of Tokyo The Graduate School of Engineering Department of Mechanical Engineering
  • 2011 - 2015 The University of Tokyo The Faculty of Engineering Department of Mechanical Engineering
Professional career (1):
  • Doctor of Engineering (The University of Tokyo)
Work history (1):
  • 2020/04 - 現在 The University of Tokyo The Graduate School of Engineering Department of Mechanical Engineering
Committee career (2):
  • 2024/05 - 現在 日本材料学会 企画・広報委員会 担当委員
  • 2024/05 - 現在 日本材料学会マルチスケール材料力学部門委員会 企画担当幹事
Awards (5):
  • 2024/03 - 応用物理学会 第56回(2024年春季)応用物理学会講演奨励賞 深層学習型汎用原子間ポテンシャルを用いた炭素含有シリコン酸化膜の弾性特性と原子ネットワーク構造の探索
  • 2023/09 - 日本機械学会材料力学部門 優秀講演表彰 SiCパワーデバイスの信頼性設計のためのマルチスケールモデリング
  • 2018/05 - 日本材料学会マルチスケール材料力学部門 優秀学生講演賞 4H-SiCにおける基底面転位の貫通刃状転位への変換現象に関する反応経路解析
  • 2017/09 - Poster Award
  • 2017/05 - 日本材料学会マルチスケール材料力学部門 優秀学生講演賞 4H-SiCパワーデバイスの応力解析技術の構築
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