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Monte Carlo simulation methods for computing the wetting and drying properties of model systems
Kaustubh S Rane1, Vaibhaw Kumar, Jeffrey R Errington
1Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260-4200, USA.
The Journal of Chemical Physics
|December 24, 2011
Summary
We developed new Monte Carlo simulation methods to efficiently calculate wetting and drying properties of fluids. These methods precisely determine interfacial properties like contact angles and surface tension for various model systems.
Area of Science:
- Computational physics and chemistry
- Interfacial phenomena
- Statistical mechanics
Background:
- Understanding fluid-surface interactions is crucial in various scientific fields.
- Traditional methods for calculating interfacial properties can be computationally intensive.
- Accurate determination of wetting and drying behavior is essential for material science and nanotechnology.
Purpose of the Study:
- To introduce novel Monte Carlo simulation methods for determining wetting and drying properties.
- To relate interfacial properties to surface excess free energy using an interface-potential-based approach.
- To enable precise calculation of contact angles and surface tension.
Main Methods:
- Interface-potential-based Monte Carlo simulations.
- Development of "spreading" and "drying" methods to measure coefficients.
- Application to Lennard-Jones fluid interacting with structureless and atomistic substrates.
- Coupling expanded ensemble techniques with interface potential approach.
Main Results:
- Direct measurement of spreading and drying coefficients.
- Computation of contact angle and liquid-vapor surface tension.
- Analysis of temperature and substrate strength dependence of interfacial properties.
- Demonstration of efficiency and precision in calculating wetting/drying properties.
Conclusions:
- The developed Monte Carlo methods provide an efficient and precise approach for calculating wetting and drying properties.
- The interface-potential-based methods accurately determine key interfacial parameters.
- These techniques are applicable to diverse model systems with varying substrate potentials.
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