Literature DB >> 24702297

Force-field parameters from the SAFT-γ equation of state for use in coarse-grained molecular simulations.

Erich A Müller1, George Jackson.   

Abstract

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.

Entities:  

Keywords:  coarse graining; computer simulation; fluids; intermolecular potentials; molecular dynamics; multiscale modeling; soft matter

Mesh:

Substances:

Year:  2014        PMID: 24702297     DOI: 10.1146/annurev-chembioeng-061312-103314

Source DB:  PubMed          Journal:  Annu Rev Chem Biomol Eng        ISSN: 1947-5438            Impact factor:   11.059


  7 in total

1.  Density functional theory for the prediction of interfacial properties of molecular fluids within the SAFT-γ coarse-grained approach.

Authors:  Jesús Algaba; Bruno Mendiboure; Paula Gómez-Álvarez; Felipe J Blas
Journal:  RSC Adv       Date:  2022-06-29       Impact factor: 4.036

2.  Renormalization group theory of molecular dynamics.

Authors:  Daiji Ichishima; Yuya Matsumura
Journal:  Sci Rep       Date:  2021-03-16       Impact factor: 4.379

3.  Modelling and prediction of the thermophysical properties of aqueous mixtures of choline geranate and geranic acid (CAGE) using SAFT-γ Mie.

Authors:  Silvia Di Lecce; Georgia Lazarou; Siti H Khalit; Claire S Adjiman; George Jackson; Amparo Galindo; Lisa McQueen
Journal:  RSC Adv       Date:  2019-11-21       Impact factor: 3.361

4.  Fluid-solid phase transition of n-alkane mixtures: Coarse-grained molecular dynamics simulations and diffusion-ordered spectroscopy nuclear magnetic resonance.

Authors:  S Shahruddin; G Jiménez-Serratos; G J P Britovsek; O K Matar; E A Müller
Journal:  Sci Rep       Date:  2019-01-30       Impact factor: 4.379

Review 5.  Coarse-grained (hybrid) integrative modeling of biomolecular interactions.

Authors:  Jorge Roel-Touris; Alexandre M J J Bonvin
Journal:  Comput Struct Biotechnol J       Date:  2020-05-15       Impact factor: 7.271

6.  Probing the Interfacial Behavior of Type IIIa Binary Mixtures Along the Three-Phase Line Employing Molecular Thermodynamics.

Authors:  Gerard Alonso; Gustavo Chaparro; Marcela Cartes; Erich A Müller; Andrés Mejía
Journal:  Molecules       Date:  2020-03-25       Impact factor: 4.411

7.  Use of Boundary-Driven Nonequilibrium Molecular Dynamics for Determining Transport Diffusivities of Multicomponent Mixtures in Nanoporous Materials.

Authors:  Maziar Fayaz-Torshizi; Weilun Xu; Joseph R Vella; Bennett D Marshall; Peter I Ravikovitch; Erich A Müller
Journal:  J Phys Chem B       Date:  2022-02-01       Impact factor: 2.991

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.