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Area of Science:

  • Materials Science
  • Surface Chemistry
  • Computational Chemistry

Background:

  • Amorphous titanium dioxide (a-TiO2) is crucial for electrochemical and self-cleaning applications.
  • The microscopic structure of the a-TiO2-water interface remains poorly understood.
  • Understanding this interface is key to optimizing a-TiO2 performance.

Purpose of the Study:

  • To model and investigate the microscopic structure and dynamics of the amorphous titanium dioxide-water interface.
  • To compare the interfacial water behavior with that of crystalline titanium dioxide.
  • To provide insights into the chemical processes occurring at the a-TiO2 surface.

Main Methods:

  • Molecular dynamics (MD) simulations utilizing deep neural network potentials (DPs) trained on density functional theory (DFT) data.
  • Construction of an a-TiO2 surface model using a cut-melt-and-quench procedure.
  • Combined DP-based MD (DPMD) and ab initio MD (AIMD) simulations to analyze the a-TiO2-water system.

Main Results:

  • Water distribution at the a-TiO2 interface lacks distinct layering, unlike crystalline TiO2.
  • Water diffusion at the a-TiO2 interface is approximately 10 times faster.
  • Bridging hydroxyls (Ti2-ObH) show slower decay than terminal hydroxyls (Ti-OwH) due to proton exchange.

Conclusions:

  • The study provides a microscopic understanding of the amorphous titanium dioxide-water interface.
  • Findings are crucial for advancing electrochemical applications of a-TiO2.
  • The simulation methodology is applicable to other amorphous metal oxide-water interfaces.