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2022 年度 実施状況報告書

Query-and-Learn Machine Learning framework to model the stability mechanism of REFe12 magnets

研究課題

研究課題/領域番号 21K14396
研究機関北陸先端科学技術大学院大学

研究代表者

NGUYEN DuongNguyen  北陸先端科学技術大学院大学, 先端科学技術研究科, 助教 (20879978)

研究期間 (年度) 2021-04-01 – 2024-03-31
キーワードmaterials discovery / rare-earths magnets / evidence-based theory
研究実績の概要

The research project has been process with three main achievements:
(1) develop an active learning framework in investigating the structure-stability of SmFe12 family magnets (published in MRS Bulletin Impact). (2) develop an Evidence-based similarity measure for materials science data (published in J. Appl. Phys.) (3) develop a Machine Learning-aided Genetic algorithm to investigate the stability SmFe12 based magnets (published in J. Appl. Phys.)
From data contribution aspect, published articles in (1) and (3) provided systematic quantum calculation datasets for SmFe12 magnets and framework for higher efficiency data calculation. From theoretical contribution aspect, article in (2) investigated a new method bridging between Dempster theory of evidence to investigate materials science data.

現在までの達成度 (区分)
現在までの達成度 (区分)

1: 当初の計画以上に進展している

理由

The grant focuses on building a query-and-learn framework to accelerate materials discovery process using interpretable machine learning systems. We clarify the process via the following points:
1- regarding the proposed query-and-learn framework: We have built two calculation infrastructures integrated machine learning and well-known quantum-based calculation methods (VASP and USPEX), which is capable of iteratively calculating new data to investigate a certain materials family
2- regarding accelerating the materials discovery process: lowering calculation resources was performed via our proposed framework
3- regarding interpretable ability: all proposed frameworks introduced methods for researchers to be able to monitor and understand the materials discovery process from multiple viewpoints

今後の研究の推進方策

In the future, we continue focus on improving the proposed framework to (1) increasing the efficiency of calculation resource (2) providing higher quality data via extracting more meaningful structure-stability relationship

次年度使用額が生じた理由

Since the research results have initially shown efficiency, we need to hire more human resources to finalize and optimize the calculation system, post-processing, and writing of scientific articles. A calculation system also needs to expand to run for further materials family.

  • 研究成果

    (5件)

すべて 2023 2022

すべて 雑誌論文 (3件) (うち国際共著 1件、 査読あり 3件、 オープンアクセス 3件) 学会発表 (2件) (うち国際学会 2件)

  • [雑誌論文] Evidence-based data mining method to reveal similarities between materials based on physical mechanisms2023

    • 著者名/発表者名
      Ha Minh-Quyet、Nguyen Duong-Nguyen、Nguyen Viet-Cuong、Kino Hiori、Ando Yasunobu、Miyake Takashi、Denoeux Thierry、Huynh Van-Nam、Dam Hieu-Chi
    • 雑誌名

      Journal of Applied Physics

      巻: 133 ページ: 053904

    • DOI

      10.1063/5.0134999

    • 査読あり / オープンアクセス / 国際共著
  • [雑誌論文] Machine learning-aided Genetic algorithm in investigating the structure property relationship of SmFe12-based structures2023

    • 著者名/発表者名
      Nguyen Duong-Nguyen、Dam Hieu-Chi
    • 雑誌名

      Journal of Applied Physics

      巻: 133 ページ: 063902~063902

    • DOI

      10.1063/5.0134821

    • 査読あり / オープンアクセス
  • [雑誌論文] Explainable active learning in investigating structure stability of SmFe12-α-βXαYβ structures X, Y {Mo, Zn, Co, Cu, Ti, Al, Ga}2022

    • 著者名/発表者名
      Nguyen Duong-Nguyen、Kino Hiori、Miyake Takashi、Dam Hieu-Chi
    • 雑誌名

      MRS Bulletin

      巻: 48 ページ: 31~44

    • DOI

      10.1557/s43577-022-00372-9

    • 査読あり / オープンアクセス
  • [学会発表] Query-and-learn Based Active Learning Framework for Screening New SmFe12 Structures2023

    • 著者名/発表者名
      Duong-Nguyen NGUYEN, Hieu-Chi DAM
    • 学会等名
      11th International Conference on Materials for Advanced Technologies
    • 国際学会
  • [学会発表] An Application of Evidence Theory for Revealing Similarity Between Materials Based on Physical Mechanisms2023

    • 著者名/発表者名
      Minh-Quyet HA, Duong-Nguyen NGUYEN, Hieu-Chi DAM
    • 学会等名
      11th International Conference on Materials for Advanced Technologies
    • 国際学会

URL: 

公開日: 2023-12-25  

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