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Related Experiment Video

Updated: May 20, 2026

Finite Element Modelling of a Cellular Electric Microenvironment

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

Simulation of phase boundaries using constrained cell models.

Michael Nayhouse¹, Vincent R Heng, Ankur M Amlani

¹Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, USA.

Journal of Physics. Condensed Matter : an Institute of Physics Journal

|August 2, 2012

Summary

This summary is machine-generated.

This study determines the phase diagram for particles with a specific potential, revealing a stable vapor-liquid critical point and triple point in a constrained cell model, advancing simulation of phase transitions.

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Area of Science:

Computational physics
Materials science
Chemical engineering

Background:

Simulating fluid-fluid and fluid-solid phase transitions remains challenging.
Accurate phase diagrams are crucial for understanding material behavior.
Particle interaction potentials dictate phase behavior.

Purpose of the Study:

Determine the phase diagram for particles with a specific pair potential (n=12).
Investigate fluid-solid and vapor-liquid phase transitions.
Analyze the impact of constrained cell models on phase behavior.

Main Methods:

Constant-pressure simulations.
Flat-histogram techniques.
Constrained and generalized cell models.
Thermodynamic integration with histogram reweighting.

Main Results:

The vapor-liquid phase diagram was established using constant-pressure simulations and flat-histogram techniques.
Solid phase properties were determined using constrained cell models.
Fluid-solid coexistence was identified at a reduced temperature of 2.
The constrained cell model exhibits a stable vapor-liquid critical point and triple point.

Conclusions:

The constrained cell model provides a stable vapor-liquid critical point and triple point.
Vapor-liquid transitions are metastable against crystallization due to short-range attractive interactions.
This work advances the simulation of phase transitions using novel cell models.