Imperial College London

Professor Erich A. Muller

Faculty of EngineeringDepartment of Chemical Engineering

Professor of Thermodynamics
 
 
 
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Contact

 

+44 (0)20 7594 1569e.muller Website

 
 
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Assistant

 

Mrs Raluca Reynolds +44 (0)20 7594 5557

 
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Location

 

409ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Muller:2022:10.1002/mats.202100031,
author = {Muller, E and Fayaz-Torshizi, M},
doi = {10.1002/mats.202100031},
journal = {Macromolecular Theory and Simulations},
pages = {1--28},
title = {Coarse-grained molecular simulation of polymers supported by the use of the SAFT-γ mie equation of state},
url = {http://dx.doi.org/10.1002/mats.202100031},
volume = {31},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - A framework to self-consistently combine a classical equation of state (EoS) and a molecular force field to model polymers and polymer mixtures is presented. The statistical associating fluid theory (SAFT-γ Mie) model is used to correlate the thermophysical properties of oligomers and generate robust and transferrable coarse-grained (CG) molecular parameters which can be used both in particle based molecular simulations and in EoS calculations. Examples are provided for polyethylene, polypropylene, polyisobutyleneatactic polystyrene, 1,4-cis-butadiene, polyisoprene, their blends and mixtures with low molecular weight solvents. Different types ofliquid-liquid phase behaviour are quantitatively captured both by the EoS and by direct molecular dynamics simulations. The use ofCG models following this top-down approach extends the time and length scales accessible to molecular simulation while retainingquantitative accuracy as compared to experimental results.
AU - Muller,E
AU - Fayaz-Torshizi,M
DO - 10.1002/mats.202100031
EP - 28
PY - 2022///
SN - 1022-1344
SP - 1
TI - Coarse-grained molecular simulation of polymers supported by the use of the SAFT-γ mie equation of state
T2 - Macromolecular Theory and Simulations
UR - http://dx.doi.org/10.1002/mats.202100031
UR - https://onlinelibrary.wiley.com/doi/10.1002/mats.202100031
UR - http://hdl.handle.net/10044/1/91771
VL - 31
ER -