Shiba Hayato

シバハヤト | Shiba Hayato

Affiliation and department：
Job title： Associate Professor
Homepage URL (1)： https://u-hyogo.info/research/faculty/shiba/

Research field (3)： Mathematical physics and basic theory , High-performance computing , Bio-, chemical, and soft-matter physics

Research keywords (5)： molecular assemblies , data-driven computational science , particle simulations , large-scale numerical simulation , Computational materials physics

Research theme for competitive and other funds (9)：

2022 - 2025 TBA
2018 - 2022 Prediction of dramatic slowdown with glass transition on molecular basis - transition state and transport property
2018 - 2021 Computational study of mesoscale cooperative phenomena of ionic liquids - slow relaxation and interface fluctuation
2018 - 2019 Incentive Grant for PCoMS Research Prize
2017 - 2018 Simulation study of nanostructure formation for better dielectric properties of ionic liquid

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Papers (37)：

Patrick A. Bonnaud, Hayato Shiba. Molecular Simulations of Ionic Liquids at Charged Graphite Interfaces. The Journal of Physical Chemistry C. 2023
Gerhard Jung, Rinske Alkemade, Victor Bapst, Daniele Coslovich, Laura Filion, François Landes, Andrea Liu, Francesco Saverio Pezzicoli, Hayato Shiba, Giovanni Volpe, et al. Roadmap on machine learning glassy liquids. arXiv:2311.14752. 2023
Yuuichi Asahi, Yuta Hasegawa, Naoyuki Onodera, Takashi Shimokawabe, Hayato Shiba, Yasuhiro Idomura. Generating observation guided ensembles for data assimilation with denoising diffusion probabilistic model. ICML 2023 Workshop, Synergy of Scientific and Machine Learning Modeling. 2023
Hayato Shiba, Masatoshi Hanai, Toyotaro Suzumura, Takashi Shimokawabe. BOTAN: BOnd TArgeting Network for prediction of slow glassy dynamics by machine learning relative motion. The Journal of Chemical Physics. 2023. 158. 8. 084503
Yuuichi Asahi, Naoyuki Onodera, Yuta Hasegawa, Takashi Shimokawabe, Hayato Shiba, Yasuhiro Idomura. CityTransformer: A Transformer-Based Model for Contaminant Dispersion Prediction in a Realistic Urban Area. Boundary-Layer Meteorology. 2023. 186. 3. 659-692

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MISC (11)：

芝隼人, 下川辺隆史. Graph Neural Networks Prediction of Long-Time Molecular Dynamics and its Benchmarks. 情報処理学会研究報告(Web). 2022. 2022-HPC-183. 22. 1-11
塙敏博, 中島研吾, 下川辺隆史, 芝隼人, 三木洋平, 星野哲也, 河合直聡, 似鳥啓吾, 今村俊幸, 工藤周平, et al. 「計算・データ・学習」融合スーパーコンピュータシステムWisteria/BDEC-01の性能評価. 情報処理学会研究報告. 2021. Vol.2021-HPC-180. 22. 1-8
中島研吾, 塙敏博, 下川辺隆史, 伊田明弘, 芝隼人, 三木洋平, 星野哲也, 有間英志, 河合直聡, 坂本龍一, et al. 「計算・データ・学習」融合スーパーコンピュータシステム「Wisteris/BDEC-01」の概要. 情報処理学会研究報告. 2021. Vol. 2021-HPC-179. 1. 1-7
芝隼人. 2020 ACM ゴードン・ベル賞研究紹介. スーパーコンピューティングニュース(東京大学情報基盤センター). 2021. 23. 1. 37-40
芝隼人. 学術賞受賞寄稿「大規模分子シミュレーションによるガラス・ソフトマターの連続体特性の研究」. アンサンブル. 2021. 23. 1. 1-6

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Lectures and oral presentations (63)：

ガラスとグラフニューラルネットワーク - 究極の長時間ダイナミクスへのデータ駆動科学による挑戦
(Supercomputing Japan 2024 2024)
ガラス動力学の深層学習 - 乱雑構造の中に隠れた未来を掘り起こす
(令和5年名古屋大学宇宙地球環境研究所研究集会 STEシミュレーション研究会:計算科学とデータ科学の融合に向けて 2023)
ガラス動力学の深層学習における準安定構造の使用の影響
(第37回分子シミュレーション討論会 2023)
Deep learning of simulated glassy dynamics
(45th ASE Seminar: International Workshop on "Integration of Simulation/Data/Learning and Beyond" 2023)
ガラス動力学の深層学習 - 現在とその次?
(液体・ガラスへのデータ駆動アプローチ - グラフニューラルネットワークとその周辺 - 2023)

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Education (4)：

2007 - 2009 Kyoto University Graduate School of Science Department of Physics
2005 - 2007 University of Tokyo Graduate School of Engineering Department of Applied Physics
2001 - 2005 The University of Tokyo Faculty of Science Department of Physics
1997 - 2000 Azabu High School

Professional career (2)：

博士(理学) (Kyoto University)
修士(工学) (The University of Tokyo)

Work history (5)：

2023/04 - 現在 University of Hyogo Center for Cooperative Work on Data science and Computational science Deputy Head
2023/04 - 現在 University of Hyogo Graduate School of Information Science Associate Professor
2020/02 - 2023/03 The University of Tokyo Supercomputing Research Division, Information Technology Center Project Lecturer
2016/01 - 2020/01 Institute for Materials Research, Tohoku University Center for Computational Materials Science Research Assistant Professor
2009/05 - 2015/12 Institute for Solid State Physics, University of Tokyo Materials Design and Characterization Laboratory Research Associate

Committee career (7)：

2024/04 - 現在分子シミュレーション学会幹事
2024/04 - 現在神戸HPCサマースクールアドバイザリーボード委員
2023/07 - 2024/11 The IEEE International Conference on Cluster Computing 2024 Posters Vice-Chair
2020/11 - 2023/03 科学技術振興機構アドバイザリーボード委員
2020/10 - 2021/09 日本物理学会領域11 運営委員

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Awards (3)：

2020/12 - The Molecular Simulation Society of Japan 2020 Academic Award
2018/04 - Professional development Consortium for Computational Materials Scientists PCoMS Next Generation Researcher Award
2018/03 - Japan Physical Society Young Scientist Award of the Physical Society of Japan

Association Membership(s) (6)：

Institute of Electrical and Electronics Engineers , Ionic Liquid Research Association , Division of Colloid and Surface Chemistry, Chemical Society of Japan , The Molecular Simulation Society of Japan , The Physical Society of Japan , The Society of Polymer Science

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