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Threshold criterion for wetting at the triple point

Curtarolo1, Stan, Bojan

  • 1Department of Physics, Pennsylvania State University, University Park, Pennsylvania 16802, USA.

Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
|October 25, 2000
PubMed
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Grand canonical simulations reveal diverse gas adsorption behaviors on metal surfaces. A dimensionless wetting parameter (w) effectively predicts nonwetting or complete wetting transitions near the triple point.

Area of Science:

  • Physical Chemistry
  • Materials Science
  • Computational Physics

Background:

  • Understanding gas adsorption on surfaces is crucial for catalysis and materials design.
  • Wetting phenomena, where a fluid spreads over a surface, are influenced by surface properties and temperature.
  • Predicting wetting behavior is essential for controlling interfacial processes.

Purpose of the Study:

  • To investigate adsorption isotherms of classical gases on alkali metal and Mg surfaces using grand canonical simulations.
  • To explore the conditions leading to nonwetting, complete wetting, or wetting transitions.
  • To evaluate the utility of a dimensionless wetting parameter for predicting wetting behavior.

Main Methods:

  • Grand canonical simulations were employed to model gas adsorption.

Related Experiment Videos

  • Ab initio calculations determined adsorption potentials.
  • Lennard-Jones potentials described gas-gas interactions.
  • Main Results:

    • Diverse adsorption behaviors, including nonwetting, complete wetting, and wetting transitions, were observed.
    • An unusual variety of wetting transitions occurred at the triple point for specific potentials.
    • The general threshold for wetting near the triple point aligned with predictions from Cheng et al.'s heuristic model.
    • A dimensionless wetting parameter (w ≈ 3.3) was identified as a predictor for wetting behavior at and above the triple temperature.

    Conclusions:

    • The study demonstrates the complex interplay between gas-surface interactions and wetting phenomena.
    • A dimensionless wetting parameter provides a reliable metric for predicting wetting transitions.
    • The findings are consistent with recent experimental and simulation studies, validating the predictive power of the wetting parameter.