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Rivera Rocabado David Samuel  RiveraRocabado DavidSamuel

ORCIDConnect your ORCID iD *help
… Alternative Names

RiveraRocabado DavidSamuel  リベラロカバド デイビッドサムエル

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Researcher Number 00865298
Other IDs
Affiliation (Current) 2025: 大阪公立大学, 大学院理学研究科, 准教授
Affiliation (based on the past Project Information) *help 2022 – 2024: 広島大学, 先進理工系科学研究科(工), 特任助教
Review Section/Research Field
Principal Investigator
Basic Section 36010:Inorganic compounds and inorganic materials chemistry-related
Except Principal Investigator
Basic Section 26010:Metallic material properties-related
Keywords
Principal Investigator
DFT calculations / Heterogenous Catalysts / Universal Descriptor / DOS decomposition / Heterogeneous catalysis / Support effect / Machine learning / DFT method / Density of states / ESDA … More
Except Principal Investigator
… More 重水素効果 / CPLB法 / 水素ダイナミクス / 量子効果 / 金属ナノ粒子 Less
  • Research Projects

    (2 results)
  • Research Products

    (16 results)
  • Co-Researchers

    (4 People)
  •  Creation of the Universal Descriptor of the Adsorbates Interaction on Heterogenous Catalysts by DOS Decomposition Approach and Machine LearningPrincipal Investigator

    • Principal Investigator
      RiveraRocabado DavidSamuel
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 36010:Inorganic compounds and inorganic materials chemistry-related
    • Research Institution
      Hiroshima University
  •  Development of CPLB method of properties and reactivities related hydrogen near the metal nanoparticle surfaces

    • Principal Investigator
      石元 孝佳
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 26010:Metallic material properties-related
    • Research Institution
      Hiroshima University

All 2023 2022

All Journal Article Presentation

  • [Journal Article] Quantum Effects of Hydrogen Nuclei on the Nuclear Magnetic Shielding Tensor of Ice Ih2023

    • Author(s)
      Shimohata Yuya、Kanematsu Yusuke、Rivera Rocabado David S.、Ishimoto Takayoshi
    • Journal Title

      The Journal of Physical Chemistry A

      Volume: 127 Issue: 39 Pages: 8025-8031

    • DOI

      10.1021/acs.jpca.3c01318

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K23026
  • [Journal Article] Computational analysis of H/D isotope effect on adsorption of water and its dissociated species on Pt(111) surface2023

    • Author(s)
      Nasu Kazuma、Sakagami Hiroki、Kanematsu Yusuke、Rivera Rocabado David S.、Shimazaki Tomomi、Tachikawa Masanori、Ishimoto Takayoshi
    • Journal Title

      AIP Advances

      Volume: 13 Issue: 6 Pages: 065305-065305

    • DOI

      10.1063/5.0151660

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K17905, KAKENHI-PUBLICLY-23H03993, KAKENHI-PROJECT-23K23026
  • [Journal Article] Exploring the Impact of H/D Isotope Effects of Hydrogen Bond Properties in Water Dimer, Trimer, and Water Adsorption on the Ice Ih(0001) Surface2023

    • Author(s)
      Shimohata Yuya、Sakagami Hiroki、Kanematsu Yusuke、Rivera Rocabado David S.、Tachikawa Masanori、Ishimoto Takayoshi
    • Journal Title

      The Journal of Physical Chemistry C

      Volume: 127 Issue: 50 Pages: 24316-24323

    • DOI

      10.1021/acs.jpcc.3c04610

    • Data Source
      KAKENHI-PROJECT-23K23026
  • [Journal Article] Predicting CO Interaction and Activation on Inhomogeneous Ru Nanoparticles Using Density Functional Theory Calculations and Machine Learning Models2023

    • Author(s)
      Rivera Rocabado David S.、Aizawa Mika、Ishimoto Takayoshi
    • Journal Title

      The Journal of Physical Chemistry C

      Volume: 127 Issue: 47 Pages: 23010-23022

    • DOI

      10.1021/acs.jpcc.3c04218

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K04890
  • [Journal Article] Uncovering the Mechanism of the Hydrogen Poisoning on Ru Nanoparticles via Density Functional Theory Calculations2022

    • Author(s)
      Rivera Rocabado David S.、Aizawa Mika、Noguchi Tomohiro G.、Yamauchi Miho、Ishimoto Takayoshi
    • Journal Title

      Catalysts

      Volume: 12 Issue: 3 Pages: 331-331

    • DOI

      10.3390/catal12030331

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-18H05517, KAKENHI-PROJECT-23K23026
  • [Journal Article] Hydrogen/Deuterium Transfer from Anisole to Methoxy Radicals: A Theoretical Study of a Deuterium-Labeled Drug Model2022

    • Author(s)
      Kimura Yuka、Kanematsu Yusuke、Sakagami Hiroki、Rivera Rocabado David S.、Shimazaki Tomomi、Tachikawa Masanori、Ishimoto Takayoshi
    • Journal Title

      The Journal of Physical Chemistry A

      Volume: 126 Issue: 1 Pages: 155-163

    • DOI

      10.1021/acs.jpca.1c08514

    • Peer Reviewed
    • Data Source
      KAKENHI-PUBLICLY-19H05063, KAKENHI-PROJECT-18H01945, KAKENHI-PLANNED-20H05739, KAKENHI-PLANNED-18H05517, KAKENHI-PUBLICLY-21H00026, KAKENHI-PROJECT-23K23026
  • [Presentation] Universal Predictive Power: Introducing the Electronic Structure Decomposition Approach for CO Adsorption and Activation on Inhomogeneous Ru Nanoparticles2023

    • Author(s)
      David S. Rivera Rocabado
    • Organizer
      International Conference on Catalysis, Chemical Science and Technology 2023
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K04890
  • [Presentation] Decomposition and Prediction of Adsorbates Binding Energy on Metal Nanoparticles via Density Functional Theory Calculations and Machine Learning Models2023

    • Author(s)
      David S. Rivera Rocabado
    • Organizer
      The 11th Annual World Congress of Nano-S&T
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K04890
  • [Presentation] Predicting CO Interaction and Activation on Inhomogeneous Ru Nanoparticles using Density Functional Theory Calculations and Machine Learning Models2023

    • Author(s)
      David S. Rivera Rocabado
    • Organizer
      Symposium of Theoretical Design of Materials: First-Principles Calculations and Machine Learning
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K04890
  • [Presentation] Discovery of New Materials by Quantum Calculations and Artificial Intelligence2023

    • Author(s)
      David S. Rivera Rocabado
    • Organizer
      10th International Congress on Industrial and Applied Mathematics
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K04890
  • [Presentation] Theoretical study of isotope effects in ice by CPLB method2023

    • Author(s)
      Yuya Shimohata, Yusuke Kanematsu, David Samuel Rivera Rocabado, Takayoshi Ishimoto
    • Organizer
      ACS Fall 2023
    • Data Source
      KAKENHI-PROJECT-23K23026
  • [Presentation] Unlocking the Secrets of CO Interaction and Activation on Ru Nanoparticles Supported on Al2O3 through Density Functional Theory Calculations and Machine Learning2023

    • Author(s)
      David S. Rivera Rocabado, Mika Aizawa, Takayoshi Ishimoto
    • Organizer
      American Chemical Society, Fall Meeting 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K04890
  • [Presentation] Unlocking the Secrets of CO Interaction and Activation on Ru Nanoparticles Supported on Al2O3: Harnessing the Predictive Power of the Electronic Structure Decomposition Approach2023

    • Author(s)
      David S. Rivera Rocabado, Mika Aizawa, Takayoshi Ishimoto
    • Organizer
      5th Conference of Theory and Applications of Computational Chemistry
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K04890
  • [Presentation] Pd(111)表面における水とその解離種の吸着に関するH/D同位体効果の理論的解析2023

    • Author(s)
      山岡廉、David S. Rivera Rocabado、石元孝佳、兼松佑典
    • Organizer
      第23回大つくば物理化学セミナー
    • Data Source
      KAKENHI-PROJECT-23K23026
  • [Presentation] CPLB法を用いた氷の重水素効果に対する理論的解析2022

    • Author(s)
      下畑佑也、兼松佑典、David Samuel Rivera Rocabado、石元孝佳
    • Organizer
      2022年日本化学中国四国支部大会 広島大会
    • Data Source
      KAKENHI-PROJECT-23K23026
  • [Presentation] CPLB法による氷の構造と物性に対する重水素効果の理論解析2022

    • Author(s)
      下畑佑也、兼松佑典、David S. Rivera Rocabado、石元孝佳
    • Organizer
      第16回分子科学討論会2022
    • Data Source
      KAKENHI-PROJECT-23K23026
  • 1.  石元 孝佳 (50543435)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 6 results
  • 2.  兼松 佑典 (10765936)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 6 results
  • 3.  立川 仁典
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 2 results
  • 4.  山内 美穂
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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