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Published on: April 12, 2018
Extensions of the interfacial pinning method and application to hard core systems
Vikram Thapar1, Fernando A Escobedo1
1School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, USA.
Interface pinning (IP) accurately estimates phase transitions in condensed matter systems. This study extends the IP method to various ensembles and mixtures, improving phase transition prediction accuracy.
Area of Science:
- Condensed matter physics
- Thermodynamics
- Computational chemistry
Background:
- Accurate estimation of phase transition locations is crucial for understanding condensed matter systems.
- The interface pinning (IP) technique offers a precise method for fluid-solid transitions in single-component systems using the NP(z)T ensemble.
- Existing methods may have limitations in applicability to diverse systems and ensembles.
Purpose of the Study:
- To extend the interface pinning (IP) method for phase transition estimation to various thermodynamic ensembles.
- To adapt the IP method for both single-component systems and binary mixtures.
- To develop a generalized extrapolation scheme for properties at coexistence conditions.
Main Methods:
- Extension of the interface pinning (IP) technique to multiple ensembles (e.g., NVT, NPT).
- Application of IP to binary mixtures, including hard cubes and spheres.
- Development of a general extrapolation framework for coexistence properties.
- Investigation of different order parameters, including volume, for phase identification.
Main Results:
- The IP method was successfully extended to different ensembles and applied to binary mixtures.
- Coexistence pressure for isotropic-rotator transitions in polyhedral systems was estimated.
- Isotropic-crystal coexistence compositions for binary hard cubes and spheres were determined.
- Volume was identified as a viable, often more practical, order parameter than translational order parameters.
Conclusions:
- The generalized interface pinning (IP) framework enhances the accurate prediction of phase transitions across diverse systems and conditions.
- The study validates the utility of volume as an order parameter, offering a computationally efficient alternative.
- This work provides a robust computational tool for studying phase equilibria in complex materials.
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