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Static and dynamic water structures at interfaces: A case study with focus on Pt(111).

Alexandra C Dávila López1, Thorben Eggert1, Karsten Reuter1

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Summary
This summary is machine-generated.

Static water models for interfaces can overemphasize hydrogen bonding, potentially biasing results. This study introduces a method to create structural ensembles, improving atomistic simulations of aqueous interfaces like water-Pt(111).

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Area of Science:

  • Computational chemistry
  • Materials science
  • Surface science

Background:

  • Accurate atomistic simulations of aqueous solid-liquid interfaces require explicit water description, ideally via ab initio molecular dynamics.
  • Current applications often use static interfacial water models, focusing on single structures for calculating reaction barriers, which may introduce biases.

Purpose of the Study:

  • To systematically investigate the relationship between static and dynamic interfacial water models derived from density functional theory.
  • To develop and apply a general protocol for constructing static 2D water layers on surfaces, specifically for the water-Pt(111) interface.

Main Methods:

  • Development of a general protocol for creating static 2D water layers on various substrates.
  • Application of the protocol to low-index platinum surfaces.
  • Comparison of generated static structures with dynamic ensembles using the Smooth Overlap of Atomic Positions descriptor.

Main Results:

  • Identified structural overlap between static and dynamic water models, but static models tend to overemphasize in-plane hydrogen bonding.
  • The low-temperature hexagonal ice-like structure particularly exaggerates in-plane hydrogen bonding.
  • Observed a complex interplay between water structure, work function, and adsorption energy on the Pt(111) surface.

Conclusions:

  • Reliance on single, static water models can introduce systematic biases in interface simulations.
  • Averaging over consistently created structural ensembles, as proposed, can mitigate these biases.
  • The study provides a framework for more robust atomistic treatments of aqueous interfaces.