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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Development of a Transferable Density-Functional Tight-Binding Model for Organic Molecules at the Water/Platinum

Qing Wang1, Mingjun Gu2, Carine Michel1

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We developed a new computational method, DFTB/ChIMES, to accurately model reactions on platinum surfaces for biomass conversion. This approach significantly improves simulation accuracy and transferability across different platinum systems, aiding catalyst development.

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Area of Science:

  • Computational Chemistry
  • Materials Science
  • Catalysis

Background:

  • Modeling metal/water interfaces is crucial for catalytic transformations, especially in biomass conversion.
  • Accurate and efficient computational methods are needed to understand reactions at these interfaces.

Purpose of the Study:

  • To develop a computationally efficient and transferable method for modeling reactions at platinum/water interfaces.
  • To parametrize the density-functional tight-binding (DFTB) method with many-body interactions (DFTB/ChIMES) for platinum systems.

Main Methods:

  • Constructed Pt-H, Pt-O, and Pt-C repulsive potential splines.
  • Augmented pairwise parameters with many-body interactions using the Chebyshev Interaction Model for Efficient Simulation (ChIMES).
  • Compared DFTB and DFTB/ChIMES with DFT reference data for organic molecules on platinum surfaces.

Main Results:

  • DFTB/ChIMES significantly improved transferability and accuracy compared to DFTB, reducing RMSD from ~30 kcal/mol to ~10 kcal/mol.
  • DFTB/ChIMES accurately captured phenol adsorption on Pt(111), including water solvation effects, unlike DFTB.
  • Simulations showed weaker adsorption at solid/liquid interfaces than solid/gas interfaces, aligning with experimental data.

Conclusions:

  • DFTB/ChIMES offers a computationally efficient and transferable approach for modeling platinum/water interfaces.
  • The method enhances understanding of catalytic reactions, particularly for biomass conversion.
  • Further simulations are needed for full convergence, even with the improved DFTB method.