Rchr
J-GLOBAL ID:201801001435518529   Update date: Jan. 31, 2024

Shiomi Junichiro

シオミ ジュンイチロウ | Shiomi Junichiro
Affiliation and department:
Homepage URL  (1): http://www.phonon.t.u-tokyo.ac.jp/
Research field  (4): Nanomaterials ,  Fluid engineering ,  Thermal engineering ,  Nanostructure physics
Research keywords  (9): 表面張力 ,  ナノ構造 ,  サーマルマネージメント ,  断熱 ,  熱電変換 ,  ナノ材料 ,  濡れ性 ,  フォノン輸送 ,  熱エネルギー
Research theme for competitive and other funds  (25):
  • 2022 - 2027 Meta-phononics of disordered solid system including mass transport
  • 2022 - 2025 Developing Science of Amorphous Phonon Engineering
  • 2022 - 2024 フォノンエンジニアリングによる2次元ヘテロ構造の究極的な熱伝導率の実現
  • 2021 - 2023 Study on Thermoelectric Properties of Metamaterials in Presence of Magnetic Field
  • 2020 - 2023 磁場の存在下におけるメタマテリアルの熱電変換物性に関する研究
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Papers (252):
  • Huihang Qiu, Keisuke Obata, Zhicheng Yuan, Takeshi Nishimoto, Yaerim Lee, Keisuke Nagato, Ikuya Kinefuchi, Junichiro Shiomi, Kazuhiro Takanabe. Quantitative Description of Bubble Formation in Response to Electrolyte Engineering. Langmuir. 2023. 39. 14. 4993-5001
  • Bin Xu, Yuxuan Liao, Zhenglong Fang, Yifei Li, Rulei Guo, Ryohei Nagahiro, Yoshifumi Ikoma, Masamichi Kohno, Junichiro Shiomi. Extremely suppressed thermal conductivity of large-scale nanocrystalline silicon through inhomogeneous internal strain engineering. Journal of Materials Chemistry A. 2023. 11. 35. 19017-19024
  • Guantong Wang, Masaki Kudo, Kazuho Daicho, Sivasankaran Harish, Bin Xu, Cheng Shao, Yaerim Lee, Yuxuan Liao, Naoto Matsushima, Takashi Kodama, et al. Enhanced High Thermal Conductivity Cellulose Filaments via Hydrodynamic Focusing. Nano Letters. 2022. 22. 21. 8406-8412
  • Yoshihiro Hayashi, Junichiro Shiomi, Junko Morikawa, Ryo Yoshida. RadonPy: automated physical property calculation using all-atom classical molecular dynamics simulations for polymer informatics. npj Computational Materials. 2022. 8. 1
  • Ruimin Ma, Hanfeng Zhang, Jiaxin Xu, Luning Sun, Yoshihiro Hayashi, Ryo Yoshida, Junichiro Shiomi, Jian-xun Wang, Tengfei Luo. Machine learning-assisted exploration of thermally conductive polymers based on high-throughput molecular dynamics simulations. Materials Today Physics. 2022. 28. 100850-100850
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MISC (62):
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Education (3):
  • 1999 - 2004 スウェーデン王立工科大学(KTH) Department of Mechanics
  • 1994 - 1999 Tohoku University Faculty of Engineering
  • 1996 - 1997 カリフォルニア大学デービス校
Professional career (1):
  • Ph. D. (スウェーデン王立工科大学)
Work history (11):
  • 2022/04 - 現在 The University of Tokyo Professor
  • 2017/08 - 現在 The University of Tokyo
  • 2017/05 - 現在 理化学研究所 革新知能統合研究センター 客員研究員(兼務)
  • 2015/10 - 2020/03 物質・材料研究機構 情報統合型物質・材料研究拠点 特別研究員(兼務)
  • 2013/04 - 2018/03 Tokyo University of Science
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Awards (12):
  • 2023/04 - Ministry of Education, Culture, Sports, Science and Technology The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology (Research Category)
  • 2022/05 - The Heat Transfer Society of Japan Nukiyama Memorial Award
  • 2021/08 - 日本熱電学会学術賞
  • 2020/12 - JSPS PRIZE
  • 2020/09 - 応用物理学会第42回解説論文賞受賞
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