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Atomistic Insights into Interfacial Characteristics for Energy Conversion

Research Project

Project/Area Number 21F30701
Research Category

Grant-in-Aid for JSPS Fellows

Allocation TypeSingle-year Grants
Section外国
Review Section Basic Section 28030:Nanomaterials-related
Research InstitutionShinshu University

Principal Investigator

古山 通久  信州大学, 先鋭領域融合研究群先鋭材料研究所, 教授(特定雇用) (60372306)

Co-Investigator(Kenkyū-buntansha) VALADEZ HUERTA GERARDO  信州大学, 先鋭領域融合研究群先鋭材料研究所, 外国人特別研究員
Project Period (FY) 2021-07-28 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 2022: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2021: ¥1,200,000 (Direct Cost: ¥1,200,000)
KeywordsNeural Network Potential / Heterogeneous Catalysis / Interface / Molecular Simulation / Catalyst / Supported Nanoparticles / Dissociation
Outline of Research at the Start

Interface plays key roles in many energy and environmental devices. Atomistic insights on the interfacial phenomena is essential to develop highly advanced devices. In this project, molecular dynamics simulations will be conducted to elucidate the complex phenomena at the interface related to energy and environmental devices. MD simulations will be carried out to clarify the governing factor of interfacial phenomena and obtain guiding principles. Computational material design will be challenged based on guiding principles clarified.

Outline of Annual Research Achievements

The study aims to analyze interfaces by using a universal neural network potential. We targeted the adsorption and catalytic properties of N2 on a Ru
nanoparticle supported on a La0.5Ce0.5O1.75-x reduced slab. This heterogeneous system shows a strong-metal support interaction (SMSI), which cannot be investigated by conventional methods. By developing automated procedure, N2 adsorption properties on all ontop sites of 200 different catalyst configurations were investigated, giving 15600 different adsorption results in total. Statistical analyses was conducted to identify the catalyst structure representing the real-system. The relation between activation barrier and local structure was carefully discussed, to identify the essential factor behind the experimentally observed high activity.
To further investigate the interfacial properties of supported nanocatalyst, combinations of different metal and support materials are prepared. Automated procedure was further extended to explore the adsorption properties of other small molecules, which are fundamental in key reactions such as carbon-neutral fuel synthesis, oxygen reduction reaction in fuel cells, and oxygen evolotion reaction in water electrolysis.

Research Progress Status

令和4年度が最終年度であるため、記入しない。

Strategy for Future Research Activity

令和4年度が最終年度であるため、記入しない。

Report

(2 results)
  • 2022 Annual Research Report
  • 2021 Annual Research Report
  • Research Products

    (8 results)

All 2022 2021

All Journal Article (3 results) (of which Open Access: 3 results,  Peer Reviewed: 1 results) Presentation (5 results) (of which Int'l Joint Research: 2 results,  Invited: 1 results)

  • [Journal Article] Cyber Catalysis: N2 Dissociation over Ruthenium Catalyst with Strong Metal-Support Interaction2022

    • Author(s)
      Gerardo Valadez Huerta, Kaoru Hisama, Katsutoshi Sato, Katsutoshi Nagaoka, Michihisa Koyama
    • Journal Title

      arXiv

      Volume: -

    • Related Report
      2022 Annual Research Report
    • Open Access
  • [Journal Article] First-Principles Calculations of Stability, Electronic Structure, and Sorption Properties of Nanoparticle Systems2021

    • Author(s)
      Gerardo Valadez Huerta, Yusuke Nanba, Nor Diana Binti Zulkifli, David Samuel Rivera Rocabado, Takayoshi Ishimoto, Michihisa Koyama
    • Journal Title

      Journal of Computer Chemistry, Japan

      Volume: 20 Issue: 2 Pages: 23-47

    • DOI

      10.2477/jccj.2021-0028

    • NAID

      130008088396

    • ISSN
      1347-1767, 1347-3824
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Calculations of Real-System Nanoparticles Using Universal Neural Network Potential PFP2021

    • Author(s)
      Gerardo Valadez Huerta, Yusuke Nanba, Iori Kurata, Kosuke Nakago, So Takamoto, Chikashi Shinagawa, Michihisa Koyama
    • Journal Title

      arXiv

      Volume: NA

    • Related Report
      2021 Annual Research Report
    • Open Access
  • [Presentation] Catalytic Properties of N2 on Ru/La0.5Ce0.5O1.75-x revealed by a Universal Neural Network Potential2022

    • Author(s)
      G. Valadez Huerta, K. Hisama, K. Sato, K. Nagaoka, M. Koyama
    • Organizer
      Annual Meeting of The Japan Society for Computer Chemistry Fall 2022 in Nagano
    • Related Report
      2022 Annual Research Report
  • [Presentation] Catalysts Studies with Universal Neural Network Potential2022

    • Author(s)
      G. Valadez Huerta, A. Tamura, K. Sato, K. Nagaoka, M. Koyama
    • Organizer
      The 9th Tokyo Conference on Advanced Catalytic Science and Technology (Japan)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Application of Universal Neural Network Potential to Nitrogen Dissociation over Ru/La0.5Ce0.5O1.75-x for Ammonia Synthesis2022

    • Author(s)
      G. Valadez Huerta, K. Hisama, M. Koyama
    • Organizer
      International Congress on Pure & Applied Chemistry Kota Kinabalu. (Malaysia)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Computer Automated Material Design by Universal Neural Network Potential2022

    • Author(s)
      Gerardo Valadez Huerta, Ayako Tamura, Yusuke Nanba, Kaoru Hisama, Michihisa Koyama
    • Organizer
      The Society of Chemical Engineers, Japan, 87th Annual Meeting
    • Related Report
      2021 Annual Research Report
  • [Presentation] Theoretical Investigation of N2 Adsorption on Supported Ru Nanoparticles on Partially Reduced La0.5Ce0.5O1.75 by Neural Network Potential Calculations2021

    • Author(s)
      erardo Valadez Huerta, Katsutoshi Sato, Katsutoshi Nagaoka, Michihisa Koyama
    • Organizer
      31st Annual Meeting of the Materials Research Society of Japan
    • Related Report
      2021 Annual Research Report

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Published: 2021-07-29   Modified: 2024-03-26  

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