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Related Experiment Video

Updated: Jan 26, 2026

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

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Published on: September 17, 2021

The Ninth Industrial Fluid Properties Simulation Challenge.

Jonathan D Moore¹, Raymond D Mountain², Richard B Ross³

¹DowDuPont, Midland, MI 48674, USA.

Fluid Phase Equilibria

|April 16, 2019

Summary

This summary is machine-generated.

Molecular modeling accurately predicted trends in water/oil interfacial tension (IFT) under high temperature and pressure. While absolute values varied, simulation methods like molecular dynamics (MD) and Monte Carlo (MC) showed the best performance.

Keywords:

interfacial tension molecular modeling

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Area of Science:

Physical Chemistry
Computational Chemistry
Materials Science

Background:

Accurate prediction of interfacial tension (IFT) is crucial for industrial fluid processes.
High temperature and pressure conditions present significant challenges for molecular modeling accuracy.

Purpose of the Study:

To evaluate the predictive capabilities of various molecular modeling techniques for water/oil IFT.
To benchmark simulation approaches against experimental data under industrially relevant conditions.

Main Methods:

The Ninth Industrial Fluid Properties Simulation Challenge.
Utilized molecular dynamics (MD), Monte Carlo (MC) simulations, COSMO-RS, and iSAFT.
Compared predictions against pendant drop tensiometer benchmark data.

Main Results:

Predictive accuracy varied across methods, with MD and MC generally achieving the highest scores.
Entries achieved between 20% and 70% of possible points.
Relative trends in IFT were reliably predicted, though absolute values showed discrepancies.

Conclusions:

Molecular modeling can reliably predict trends in water/oil IFT at high temperatures and pressures.
MD and MC simulations demonstrate strong potential for IFT prediction in industrial applications.
Further refinement of absolute value predictions remains an area for development.