Molecular Modeling of Electrocatalysis Perla B' Balbuena, University of South Carolina balbuenaengr' - PowerPoint PPT Presentation

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Molecular Modeling of Electrocatalysis Perla B' Balbuena, University of South Carolina balbuenaengr'

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Title: Molecular Modeling of Electrocatalysis Perla B' Balbuena, University of South Carolina balbuenaengr'


1
Molecular Modeling of ElectrocatalysisPerla B.
Balbuena, University of South Carolina
(balbuena_at_engr.sc.edu)
DOD-EPSCoR
  • Goals
  • Develop and apply theoretical procedures for
    understanding the fundamentals of
    electrocatalytic mechanisms
  • Atomistic level characterization of
    electroreduction of oxygen on platinum catalysts
  • Use of atomistic level characterization for
    prediction of oxygen electroreduction macroscopic
    properties to be compared with electrochemical
    experiments
  • Guide the design of effective electrocatalysts.
  • Accomplishments
  • Established a systematic procedure to analyze an
    electrocatalytic problem.
  • Demonstrated the main effects due to electron and
    proton transfer in the rate-determining step of
    O2 electroreduction on Pt.
  • Explored the shape and mobility of platinum and
    bimetallic nanoclusters supported on graphite,
    exposed to various gases.
  • Investigated the four-electron electroreduction
    of oxygen on Pt (111). The resultant surface
    composition as a function of overpotential
    elucidates the roles of adsorbed H2O and OH.
  • Scientific/Technical Approach
  • Prediction of electronic, thermodynamic, and
    kinetic properties for adsorption and
    dissociation of molecular oxygen on platinum, and
    proton transfer to the adsorbed oxygen, using
    modern density functional methods.
  • Prediction of structure and dynamics of platinum
    nanoclusters deposited on graphite substrates
    using molecular dynamics simulations.
  • Prediction of cyclic voltammograms as a function
    of overpotential based on a sequence of electron
    and proton transfer reactions on a platinum
    surface, using dynamic Monte Carlo simulations.
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