• 研究課題をさがす
  • 研究者をさがす
  • KAKENの使い方
  1. 課題ページに戻る

2021 年度 実績報告書

粒子と波動の二重性を利用した低次元物質のフォノン輸送のフルスペクトル制御

研究課題

研究課題/領域番号 21J21382
配分区分補助金
研究機関東京大学

研究代表者

DING WENYANG  東京大学, 工学系研究科, 特別研究員(DC1)

研究期間 (年度) 2021-04-28 – 2024-03-31
キーワードvdW heterostructures / Materials informatics / Bayesian optimization
研究実績の概要

Bayesian optimization is performed to explore the controllability of thermal transport in vdW graphene-WS2 heterostructures and identify the ultimate heterostructure that gives minimum thermal conductivity from 16384 possible candidates. The global optimum heterostructure with the minimum thermal conductivity is obtained by repeating 15 rounds (calculating 150 candidates) in first optimization procedure and 34 rounds (calculating 340 candidates) in second optimization procedure. The thermal conductivity of the optimized heterostructure is only 0.048 W/m-K, which is only about 5.4% (13%) of the pristine graphene (WS2).

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

My original plan for the first year is calculation of thermal conductivity for two dimensional material and calculation of phonon properties for the two dimensional material to understand the underlying physical mechanism. Now I not only constructed heterostructures by stacking different two dimensional material and calculate their thermal conductivities, but also performed Bayesian optimization to get the optimized heterostructure with desired property. Moreover, the phonon transmission of the optimized structure is also calculated, and the result shows that the phonon transmission of the optimized structure is suppressed throughout the full frequency range.

今後の研究の推進方策

1. Since Bayesian optimization pursues biased sampling, it may suffer from possibility of being trapped in the local optimum. Therefore, we will implement replica-exchange monte carlo method, which searches a broader parameter space by fair sampling and is more likely to find the global minimum of Van der Waals (vdW) graphene-WS2 heterostructures at the expense of efficiency.
2. Atomistic Green's Function, which can generate individual phonon behavior information, has never been imposed on heterostructure. In our future study, the Atomistic Green's function will be performed to understand the underlying physical mechanism for the significantly suppressed thermal conductivity of the optimized heterostructure.

  • 研究成果

    (1件)

すべて 2022

すべて 学会発表 (1件)

  • [学会発表] Aperiodic van der Waals heterostructures with minimum thermal conductivity2022

    • 著者名/発表者名
      Wenyang Ding, Shiqian Hu, Masato Ohnishi, Cheng Shao, Bin Xu, Junichiro Shiomi
    • 学会等名
      第69回 応用物理学会春季学術講演会

URL: 

公開日: 2022-12-28   更新日: 2023-08-01  

サービス概要 検索マニュアル よくある質問 お知らせ 利用規程 科研費による研究の帰属

Powered by NII kakenhi