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2020 Fiscal Year Research-status Report

Designing Thermal Functional Materials via Materials Informatics

Research Project

Project/Area Number 19K14902
Research InstitutionThe University of Tokyo

Principal Investigator

鞠 生宏  東京大学, 大学院工学系研究科(工学部), 客員研究員 (30809645)

Project Period (FY) 2019-04-01 – 2022-03-31
Keywordsマテリアルズ・インフォマティクス / 伝熱機能材料
Outline of Annual Research Achievements

This mateirals inforamtics related research project went smoothly in 2020. We have successfully applied machine learning to design materials for improving the thermoelectric property and high-throughput screening for high thermal conductivity crystals.
The main achievements are summarized as follows:
1. We identified the optimal strain in bismuth telluride thermoelectric film by combinatorial gradient thermal annealing and machine learning.
2. The high-throughput screening and transfer learning has been successfully applied to screen high thermal conductivity crystals in Materials Project database.

Current Status of Research Progress
Current Status of Research Progress

1: Research has progressed more than it was originally planned.

Reason

This materials informatics related research project goes smoothly as expected in the proposal. Up to present, we have applied the materials informatics method to design thermal conduction, thermal radiation, magnetic and thermoelectric properties. Our work has shown great advantage in designing materials or structures with optimal transport properties for different energy carriers including phonons, electrons, photons and magnons. The mentioned research works were published in international journals or presented on conferences.

Strategy for Future Research Activity

Following the research proposal, we will push forward the work related with:
(1) explore anisotropic thermal conductivity crystals via high-throughput screening, and (2) continue to design novel functional materials using various materials informatics method including the Bayesian optimization, the Monte Carlo tree search, and the quantum annealing.

Causes of Carryover

Due to the coronavirus pandemic situation, we hope to be able to use the unfinished funding in the next fiscal year.

  • Research Products

    (7 results)

All 2021 2020

All Journal Article (3 results) (of which Int'l Joint Research: 3 results,  Peer Reviewed: 3 results) Presentation (4 results) (of which Int'l Joint Research: 2 results,  Invited: 3 results)

  • [Journal Article] Phonon transport in multiphase nanostructured silicon fabricated by high-pressure torsion2021

    • Author(s)
      Shao Cheng、Matsuda Kensuke、Ju Shenghong、Ikoma Yoshifumi、Kohno Masamichi、Shiomi Junichiro
    • Journal Title

      Journal of Applied Physics

      Volume: 129 Pages: 085101~085101

    • DOI

      10.1063/5.0037775

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Identifying Optimal Strain in Bismuth Telluride Thermoelectric Film by Combinatorial Gradient Thermal Annealing and Machine Learning2020

    • Author(s)
      Sasaki Michiko、Ju Shenghong、Xu Yibin、Shiomi Junichiro、Goto Masahiro
    • Journal Title

      ACS Combinatorial Science

      Volume: 22 Pages: 782~790

    • DOI

      10.1021/acscombsci.0c00112

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Designing thermal functional materials by coupling thermal transport calculations and machine learning2020

    • Author(s)
      Ju Shenghong、Shimizu Shuntaro、Shiomi Junichiro
    • Journal Title

      Journal of Applied Physics

      Volume: 128 Pages: 161102~161102

    • DOI

      10.1063/5.0017042

    • Peer Reviewed / Int'l Joint Research
  • [Presentation] Exploring ultrahigh lattice thermal conductivity crystals via feature-based transfer learning2020

    • Author(s)
      Shenghong Ju, Ryo Yoshida, Chang Liu, Kenta Hongo, Terumasa Tadano, Junichiro Shiomi
    • Organizer
      MSE2020 - Virtual Materials Science and Engineering Congress
    • Int'l Joint Research
  • [Presentation] Designing Nanostructures for Phonon Transport via Heuristic Algorithms2020

    • Author(s)
      Shenghong Ju
    • Organizer
      The 4th Phonon Engineering Workshop
    • Invited
  • [Presentation] Machine learning analysis of tunnel magnetoresistance of magnetic tunnel junctions with disordered MgAl2O42020

    • Author(s)
      Shenghong Ju
    • Organizer
      The 4rd Forum of Materials Genome Engineering
    • Int'l Joint Research / Invited
  • [Presentation] High Thermoelectric Performance in Metastable Phases of Silicon: A Density Functional Theory Study2020

    • Author(s)
      Shenghong Ju
    • Organizer
      The 5th Workshop on Thermal Transport, China
    • Invited

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Published: 2021-12-27  

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