| 研究課題/領域番号 |
21J21382
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| 配分区分 | 補助金 |
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| 研究機関 | 東京大学 |
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研究代表者 |
DING WENYANG 東京大学, 工学系研究科, 特別研究員(DC1)
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| 研究期間 (年度) |
2021-04-28 – 2024-03-31
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| キーワード | VdW heterostructures / Thermal conductivity / Phonon incident angle |
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| 研究実績の概要 |
VdW heterostructures are an ideal candidate to realize low thermal conductivity in their through-thickness direction due to its weak interlayer interactions and prominent disorder by alternating stacking orders. Herein, for the first time, heat conduction in vdW heterostructures are resolved to the level of individual phonon polarizations, whose incident angles are utilized to elucidate the role that phonon
interference and phonon tunneling play in vdW heterostructures.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
In my original plan, the mode-resolved atomistic Green's function will be performed to understand the underlying physical mechanism for the significantly suppressed thermal conductivity of the optimized van der Waals graphene-WS2 heterostructure. Now not only the mode-resolved atomistic Green's function is successfully imposed on heterostructure, but also a conclusion that the ultralow thermal conductivity of van der Waals graphene-WS2 heterostructure is due to the suppression of oblique incident phonons is derived.
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| 今後の研究の推進方策 |
1. Since Bayesian optimization can only obtain the individual optimized heterostructure with ultralow thermal conductivity, a new machine learning method called SLEPA which can derive the distribution of thermal conductivity and their corresponding heterostructure is performed.
2. Now only graphene and WS2 are utilized to construct heterostructure, in the future plan, another new material is added (total three materials) to construct heterostructure to explore the possibility of getting even smaller thermal conductivity.
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