• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

NGUYEN DuongNguyen  NGUYEN DuongNguyen

ORCIDConnect your ORCID iD *help
Researcher Number 20879978
Other IDs
Affiliation (based on the past Project Information) *help 2021 – 2023: 北陸先端科学技術大学院大学, 先端科学技術研究科, 助教
Review Section/Research Field
Principal Investigator
Basic Section 26010:Metallic material properties-related
Keywords
Principal Investigator
REFe12 magnets / materials exploration / SmFe12 / active learning / evidence-based theory / Sm-Fe magnets / Dempster-Shafer theory / rare-earths magnets / structure prediction / materials discovery
  • Research Projects

    (1 results)
  • Research Products

    (16 results)
  • Co-Researchers

    (2 People)
  •  Query-and-Learn Machine Learning framework to model the stability mechanism of REFe12 magnetsPrincipal Investigator

    • Principal Investigator
      NGUYEN DuongNguyen
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 26010:Metallic material properties-related
    • Research Institution
      Japan Advanced Institute of Science and Technology

All 2024 2023 2022 2021

All Journal Article Presentation

  • [Journal Article] Evidence-based data mining method to reveal similarities between materials based on physical mechanisms2023

    • Author(s)
      Ha Minh-Quyet、Nguyen Duong-Nguyen、Nguyen Viet-Cuong、Kino Hiori、Ando Yasunobu、Miyake Takashi、Denoeux Thierry、Huynh Van-Nam、Dam Hieu-Chi
    • Journal Title

      Journal of Applied Physics

      Volume: 133 Issue: 5 Pages: 053904-053904

    • DOI

      10.1063/5.0134999

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K05301, KAKENHI-PROJECT-21K14396, KAKENHI-PLANNED-19H05815, KAKENHI-PROJECT-23K23299
  • [Journal Article] Machine learning-aided Genetic algorithm in investigating the structure property relationship of SmFe12-based structures2023

    • Author(s)
      Nguyen Duong-Nguyen、Dam Hieu-Chi
    • Journal Title

      Journal of Applied Physics

      Volume: 133 Issue: 6 Pages: 063902-063902

    • DOI

      10.1063/5.0134821

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14396, KAKENHI-PROJECT-20K05301, KAKENHI-PLANNED-19H05815
  • [Journal Article] Explainable active learning in investigating structure stability of SmFe12-α-βXαYβ structures X, Y {Mo, Zn, Co, Cu, Ti, Al, Ga}2022

    • Author(s)
      Nguyen Duong-Nguyen、Kino Hiori、Miyake Takashi、Dam Hieu-Chi
    • Journal Title

      MRS Bulletin

      Volume: 48 Issue: 1 Pages: 31-44

    • DOI

      10.1557/s43577-022-00372-9

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K14396, KAKENHI-PROJECT-20K05301, KAKENHI-PLANNED-19H05815
  • [Journal Article] Evidence-based recommender system for high-entropy alloys2021

    • Author(s)
      Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Takahiro Nagata, Toyohiro Chikyow, Hiori Kino, Takashi Miyake, Thierry Denoeux, Van-Nam Huynh, Hieu-Chi Dam
    • Journal Title

      Nature Computational Science

      Volume: 1 Issue: 7 Pages: 470-478

    • DOI

      10.1038/s43588-021-00097-w

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-19H05815, KAKENHI-PROJECT-20K05068, KAKENHI-PROJECT-20K05301, KAKENHI-PROJECT-21K14396, KAKENHI-PROJECT-21H01375
  • [Journal Article] Visualization of Structural Heterogeneities in Particles of Lithium Nickel Manganese Oxide Cathode Materials by Ptychographic X-ray Absorption Fine Structure2021

    • Author(s)
      Uematsu Hideshi、Ishiguro Nozomu、Abe Masaki、Takazawa Shuntaro、Kang Jungmin、Hosono Eiji、Nguyen Nguyen Duong、Dam Hieu Chi、Okubo Masashi、Takahashi Yukio
    • Journal Title

      The Journal of Physical Chemistry Letters

      Volume: 12 Issue: 24 Pages: 5781-5788

    • DOI

      10.1021/acs.jpclett.1c01445

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K15375, KAKENHI-PLANNED-19H05815, KAKENHI-PLANNED-19H05816, KAKENHI-PROJECT-18H05253, KAKENHI-PROJECT-21K14396, KAKENHI-PLANNED-19H05814
  • [Presentation] Multi-objective virtual screening with structure prompting2024

    • Author(s)
      Nguyen Duong-Nguyen, Kino Hiori, Miyake Takashi, Dam Hieu-Chi
    • Organizer
      Sixty-third Sanibel Symposium
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14396
  • [Presentation] An Application of Evidence Theory for Revealing Similarity Between Materials Based on Physical Mechanisms2023

    • Author(s)
      Ha Minh-Quyet, Nguyen Duong-Nguyen, Dam Hieu-Chi
    • Organizer
      11th International Conference on Materials for Advanced Technologies
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14396
  • [Presentation] An Application of Evidence Theory for Revealing Similarity Between Materials Based on Physical Mechanisms2023

    • Author(s)
      Minh-Quyet HA, Duong-Nguyen NGUYEN, Hieu-Chi DAM
    • Organizer
      11th International Conference on Materials for Advanced Technologies
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14396
  • [Presentation] Machine learning-aided Genetic Algorithm in investigating structure-stability relationship of SmFe12 based structures2023

    • Author(s)
      Nguyen Duong-Nguyen, Kino Hiori, Miyake Takashi, Dam Hieu-Chi
    • Organizer
      Materials Research Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14396
  • [Presentation] Query-and-learn Based Active Learning Framework for Screening New SmFe12 Structures2023

    • Author(s)
      Duong-Nguyen NGUYEN, Hieu-Chi DAM
    • Organizer
      11th International Conference on Materials for Advanced Technologies
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14396
  • [Presentation] Query-and-learn Based Active Learning Framework for Screening New SmFe12 Structures2023

    • Author(s)
      Nguyen Duong-Nguyen, Dam Hieu-Chi
    • Organizer
      11th International Conference on Materials for Advanced Technologies
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14396
  • [Presentation] Active learning in discovery SmFe12-x-yAxBy magnets A, B as Mo, Zn, Co, Cu, Ti, Al, Ga2021

    • Author(s)
      NGUYEN Duong Nguyen, DAM Hieu Chi
    • Organizer
      XXXII IUPAP Conference on Computational Physics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14396
  • [Presentation] Application of evidence theory to recommend solvent mixtures for chemical exfoliation of graphite2021

    • Author(s)
      Minh Quyet Ha, NGUYEN Duong Nguyen, DAM Hieu Chi
    • Organizer
      XXXII IUPAP Conference on Computational Physics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14396
  • [Presentation] Explainable active learning to investigate the structure-stability of SmFe12-a-BX a Y structures X, Y = {Mo, n, Co, Cu, Ti, Al, Ga}2021

    • Author(s)
      NGUYEN Duong Nguyen, DAM Hieu Chi
    • Organizer
      Materials Research Meeting 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14396
  • [Presentation] Deep attention model for extracting material structure-property relationships2021

    • Author(s)
      Vu Tien-Sinh, DINH Duy Tai, NGUYEN Duong Nguyen, DAM Hieu Chi
    • Organizer
      XXXII IUPAP Conference on Computational Physics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14396
  • [Presentation] Elucidating atomic-scale phenomena with transmission electron microscopy: a study of gold nanocontact2021

    • Author(s)
      Dao Duc-Anh, NGUYEN Duong Nguyen, DAM Hieu Chi
    • Organizer
      XXXII IUPAP Conference on Computational Physics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K14396
  • 1.  HIEU Chi Dam
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 2 results
  • 2.  石黒 志
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi