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Simulating Retention in Gas-Liquid Chromatography
Marcus G. Martin
,
J. Ilja Siepmann
, Mark R. Schure
Chemistry (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
30
Scopus citations
Overview
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Keyphrases
Gas-liquid Chromatography
100%
Partition Constants
100%
Topological Isomers
100%
Phase Equilibria
50%
Chromatography System
50%
Monte Carlo Simulation
50%
Prediction Accuracy
50%
Alkanes
50%
Vapor Phase
50%
Helium
50%
Retention Prediction
50%
Process Modeling
50%
Internal Energy
50%
Solute
50%
Experimental Values
50%
Transfer Free Energy
50%
Liquid Phase
50%
Chromatography
50%
Gibbs Ensemble
50%
Solvation Free Energy
50%
Squalane
50%
Linear Free Energy Relationships
50%
Radial Distribution Function
50%
Retention Time
50%
Retention Index
50%
Normal Alkanes
50%
Alkane Isomers
50%
Relative Retention Time
50%
Retention Structures
50%
Modeling Packages
50%
Energy Integral
50%
Martin Equation
50%
Configurational Bias Monte Carlo
50%
Kováts Retention Index
50%
United Atom Force Field
50%
Chemistry
Gas Liquid Chromatography
100%
Alkane
100%
Gibbs Free Energy
66%
Retention Time
66%
Phase Equilibria
33%
Solvation
33%
Monte Carlo Method
33%
Free Energy of Transfer
33%
Helium
33%
Linear Free Energy Relationship
33%
Radial Distribution Function
33%
Configurational Bias Monte Carlo
33%
Statistical Ensemble
33%
Internal Energy
33%
Chemical Engineering
Liquid Chromatography
100%
Gibbs Free Energy
100%
Chromatography
50%
Free Energy
50%