研究者
J-GLOBAL ID：202201002740984202
更新日: 2025年12月02日
孫 一帆
スン イーファン | Sun Yifan
所属機関・部署：
競争的資金等の研究課題 (1件)：
- 2020 - 2022 多成分溶融ウラン合金の熱物性に及ぼすウランと酸素比率の影響
論文 (21件)：
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Yifan Sun, Hirofumi Tsuruta, Masaya Kumagai, Ken Kurosaki. YouTube-based topic modeling and large language model sentiment analysis of Japanese online discourse on nuclear energy. Journal of Nuclear Science and Technology. 2025
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Yifan Sun, Ken Kurosaki, Tetsuya Imamura, Ryusuke Torata, Yuji Ohishi, Dulyawich Palaporn, Theeranuch Nachaithong, Supree Pinitsoontorn, Jintara Padchasri, Pinit Kidkhunthod, et al. Investigating Thermoelectric Properties of GeTe Alloys with Multi Element Doping: Insights from High-Entropy Engineering. ACS Omega. 2025
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Yifan Sun, Yuji Miyawaki, Masaya Kumagai, Shun Fujieda, Hiroaki Muta, Ken Kurosaki, Yuji Ohishi. Thermophysical characterization of UFe3B2 and USiNi: An experimental study. Journal of Nuclear Materials. 2024. 595
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Dulyawich Palaporn, Sora-at Tanusilp, Yifan Sun, Supree Pinitsoontorn, Ken Kurosaki. Thermoelectric materials for space explorations. Materials Advances. 2024. 5. 13. 5351-5364
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Yifan Sun, Tomoya Takatani, Hiroaki Muta, Shun Fujieda, Toshiki Kondo, Shin Kikuchi, Florian Kargl, Yuji Ohishi. Thermophysical Properties of Dense Molten Al2O3 Determined by Aerodynamic Levitation. International Journal of Thermophysics. 2023. 45
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MISC (1件)：
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Yifan Sun, Hirofumi Tsuruta, Masaya Kumagai, Ken Kurosaki. Topic Modeling and Sentiment Analysis on Japanese Online Media's Coverage of Nuclear Energy. 2024
講演・口頭発表等 (24件)：
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A Divide and Conquer Approach to Identifying Ultralow Thermal Conductivity Materials with Machine Learning
(The 41st International and 7th Asian Conference on Thermoelectrics 2025)
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Development of a machine learning model for exploring high performance thermoelectric materials based on the quality factor
(The 41st International and 7th Asian Conference on Thermoelectrics 2025)
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Leveraging machine learning to enhance the performance of filled skutterudites through composition optimization
(2025 TMS Annual Meeting & Exhibition 2025)
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Construction of physical property temperature-dependency benchmarks for high-accuracy machine learning models
(2025 TMS Annual Meeting & Exhibition 2025)
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Google Trendsデータを用いた福島第一原発事故の社会的影響の可視化
(日本原子力学会関西支部「第20回若手研究者による研究発表会」 2025)
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学歴 (3件)：
- 2019 - 2022 大阪大学 環境・エネルギー工学研究科
- 2017 - 2019 大阪大学 環境・エネルギー工学研究科
- 2012 - 2016 Northwestern University Materials Science and Engineering
学位 (3件)：
- B.S. in Materials Science and Engineering (Northwestern University)
- 工学修士 (大阪大学)
- 工学博士 (大阪大学)
受賞 (3件)：
- 2024/03 - 日本原子力学会 2023年度核燃料部会賞学会講演賞 Fabrication and Characterization of Metallic Uranium Compounds (UFe3B2, USiNi) Prepared via Spark Plasma Sintering
- 2021/11 - 日本熱物性学会 学生ベストプレゼンテーション賞 ガス浮遊法による高温液体金属の熱容量測定技術の開発
- 2019/10 - The Minerals, Metals & Materials Society TMS - EPD MATERIALS CHARACTERIZATION BEST POSTER AWARD - FIRST PLACE Thermal Conductivity of Liquid Phase Al-Si Alloys
所属学会 (1件)：
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