Force-field parameters from the SAFT-γ equation of state for use in coarse-grained molecular simulations.
A description of fluid systems with molecular-based algebraic equations of state (EoSs) and by direct molecular simulation is common practice in chemical engineering and the physical sciences, but the two approaches are rarely closely coupled. The key for an integrated representation is through a well-defined force field and Hamiltonian at the molecular level. In developing coarse-grained intermolecular potential functions for the fluid state, one typically starts with a detailed, bottom-up quantum-mechanical or atomic-level description and then integrates out the unwanted degrees of freedom using a variety of techniques; an iterative heuristic simulation procedure is then used to refine the parameters of the model. By contrast, with a top-down technique, one can use an accurate EoS to link the macroscopic properties of the fluid and the force-field parameters. We discuss the latest developments in a top-down representation of fluids, with a particular focus on a group-contribution formulation of the statistical associating fluid theory (SAFT-γ). The accurate SAFT-γ EoS is used to estimate the parameters of the Mie force field, which can then be used with confidence in direct molecular simulations to obtain thermodynamic, structural, interfacial, and dynamical properties that are otherwise inaccessible from the EoS. This is exemplified for several prototypical fluids and mixtures, including carbon dioxide, hydrocarbons, perfluorohydrocarbons, and aqueous surfactants.
Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom; email: e.muller@imperial.ac.uk ; g.jackson@imperial.ac.uk.
Erich A
EA
Müller
George
G
Jackson
D000465:Algorithms; D002245:Carbon Dioxide / Q000737:chemistry; D002616:Chemical Engineering / Q000379:methods*; D006838:Hydrocarbons / Q000737:chemistry; D057446:Hydrodynamics; D008956:Models, Chemical; D056004:Molecular Dynamics Simulation; D011789:Quantum Theory; D013816:Thermodynamics; D014867:Water / Q000737:chemistry
D006838:Hydrocarbons; D014867:Water; D002245:Carbon Dioxide
coarse graining; computer simulation; fluids; intermolecular potentials; molecular dynamics; multiscale modeling; soft matter