1. Coarse-grained molecular simulation of polymers supported by the use of the SAFT-γ mie equation of state
- Author
-
Maziar Fayaz-Torshizi, Erich A. Müller, and Engineering & Physical Science Research Council (EPSRC)
- Subjects
Equation of state ,Materials science ,Polymers and Plastics ,Polymers ,VAPOR-LIQUID-EQUILIBRIUM ,Polymer Science ,Thermodynamics ,Molecular simulation ,PRESSURE PHASE-EQUILIBRIA ,Inorganic Chemistry ,Molecular dynamics ,MONTE-CARLO ,Materials Chemistry ,0307 Theoretical and Computational Chemistry ,FORCE-FIELD PARAMETERS ,LATTICE CLUSTER THEORY ,equation of state ,SOLVENT ACTIVITIES ,chemistry.chemical_classification ,Science & Technology ,CRITICAL SOLUTION TEMPERATURES ,Organic Chemistry ,statistical associating fluid theory ,coarse-graining ,ASSOCIATING FLUID THEORY ,Polymer ,0303 Macromolecular and Materials Chemistry ,Condensed Matter Physics ,DYNAMICS SIMULATION ,molecular dynamics ,chemistry ,Physical Sciences ,Granularity ,PERTURBED-CHAIN SAFT - Abstract
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, polyisobutylene atactic polystyrene, 1,4-cis-butadiene, polyisoprene, their blends and mixtures with low molecular weight solvents. Different types of liquid-liquid phase behaviour are quantitatively captured both by the EoS and by direct molecular dynamics simulations. The use of CG models following this top-down approach extends the time and length scales accessible to molecular simulation while retaining quantitative accuracy as compared to experimental results.
- Published
- 2021