Literature DB >> 21815624

SAFT-γ force field for the simulation of molecular fluids. 1. A single-site coarse grained model of carbon dioxide.

Carlos Avendaño1, Thomas Lafitte, Amparo Galindo, Claire S Adjiman, George Jackson, Erich A Müller.   

Abstract

An application of the "top-down" concept for the development of accurate coarse-grained intermolecular potentials of complex fluids is presented. With the more common "bottom-up" procedure, coarse-grained models are constructed from a suitable simplification of a detailed atomistic representation, and small adjustments to the intermolecular parameters are made by comparison with limited experimental data where necessary. In contrast, in the top-down approach, a molecular-based equation of state is used to obtain an effective coarse-grained intermolecular potential that reproduces the macroscopic experimental thermophysical properties over a wide range of conditions. These coarse-grained intermolecular potentials can then be used in conventional molecular simulation to obtain properties (such as structure or dynamics) that are not directly accessible from the equation of state or at extreme conditions where the theory is expected to fail. To demonstrate our procedure, a coarse-grained model for carbon dioxide (CO(2)) is obtained from a recent implementation of the statistical associating fluid theory of variable range (SAFT-VR) employing a Mie (generalized Lennard-Jones) potential; the parameters of this single-site Mie model of CO(2) are estimated by optimizing the equation of state's description of the experimental vapor-pressure and saturated liquid density data. This approach is only viable because of the excellent agreement of the SAFT-VR Mie EoS with simulation data. Our single-site SAFT-γ coarse-grained model for CO(2) is used in Monte Carlo molecular simulation to assess the adequacy of the description of the fluid-phase behavior and properties that were not used to develop the potential model such as the enthalpy of vaporization, interfacial tension, density profiles, supercritical densities, and second-derivative thermodynamic properties (thermal expansivity, isothermal compressibility, heat capacity, Joule-Thompson coefficient, and speed of sound). The accuracy of the description with the single-site SAFT-γ model of CO(2) is found to be of similar quality to that of more sophisticated intermolecular potentials such as a six-site (three LJ centers and three charged sites) all-atom model. The SAFT-γ top-down approach to coarse-graining resolves a key challenge with coarse-graining techniques: the provision of a direct robust link between the microscopic and macroscopic scales.
© 2011 American Chemical Society

Entities:  

Year:  2011        PMID: 21815624     DOI: 10.1021/jp204908d

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  6 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.  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

3.  Liquid crystal phase behaviour of attractive disc-like particles.

Authors:  Liang Wu; George Jackson; Erich A Müller
Journal:  Int J Mol Sci       Date:  2013-08-08       Impact factor: 5.923

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

5.  Implicitly perturbed Hamiltonian as a class of versatile and general-purpose molecular representations for machine learning.

Authors:  Amin Alibakhshi; Bernd Hartke
Journal:  Nat Commun       Date:  2022-03-10       Impact factor: 17.694

6.  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

  6 in total

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