scholarly journals SAFT-γ Force Field for the Simulation of Molecular Fluids. 1. A Single-Site Coarse Grained Model of Carbon Dioxide

2011 ◽  
Vol 115 (38) ◽  
pp. 11154-11169 ◽  
Author(s):  
Carlos Avendaño ◽  
Thomas Lafitte ◽  
Amparo Galindo ◽  
Claire S. Adjiman ◽  
George Jackson ◽  
...  
2015 ◽  
Vol 113 (9-10) ◽  
pp. 1228-1249 ◽  
Author(s):  
Olga Lobanova ◽  
Carlos Avendaño ◽  
Thomas Lafitte ◽  
Erich A. Müller ◽  
George Jackson

2018 ◽  
Vol 122 (39) ◽  
pp. 9161-9177 ◽  
Author(s):  
Sadia Rahman ◽  
Olga Lobanova ◽  
Guadalupe Jiménez-Serratos ◽  
Carlos Braga ◽  
Vasilios Raptis ◽  
...  

2008 ◽  
Vol 128 (10) ◽  
pp. 104501 ◽  
Author(s):  
B. M. Mognetti ◽  
L. Yelash ◽  
P. Virnau ◽  
W. Paul ◽  
K. Binder ◽  
...  

2017 ◽  
Author(s):  
Joseph F. Rudzinski ◽  
Tristan Bereau

Coarse-grained molecular simulation models have provided immense, often general, insight into the complex behavior of condensed-phase systems, but suffer from a lost connection to the true dynamical properties of the underlying system. In general, the physics that is built into a model shapes the free-energy landscape, restricting the attainable static and kinetic properties. In this work, we perform a detailed investigation into the property interrelationships resulting from these restrictions, for a representative system of the helix-coil transition. Inspired by high-throughput studies, we systematically vary force-field parameters and monitor their structural, kinetic, and thermodynamic properties. The focus of our investigation is a simple coarse-grained model, which accurately represents the underlying structural ensemble, i.e., effectively avoids sterically-forbidden configurations. As a result of this built-in physics, we observe a rather large restriction in the topology of the networks characterizing the simulation kinetics. When screening across force-field parameters, we find that structurally-accurate models also best reproduce the kinetics, suggesting structural-kinetic relationships for these models. Additionally, an investigation into thermodynamic properties reveals a link between the cooperativity of the transition and the network topology at a single reference temperature.


2021 ◽  
Author(s):  
Xiang-feng Jia ◽  
Jing-fei Chen ◽  
Hui-xue Ren ◽  
Qi Wang ◽  
Wen Xu ◽  
...  

Abstract Through analyzing the deficiency of the current coarse-grained (CG) model, a new CG model for the ionic surfactant was proposed based on the Martini force field and iterative Boltzmann inversion method. In this model, the electrostatic interaction can be tackled by using a self-defined piecewise function to avoid the disadvantage of using coarse-grained solvents, and the VDW interaction parameters were derived by iterative methods. Using the improved model, the radial distribution function of NaCl and SDS solution in all-atom OPLS can be completely reproduced. The successful setup of the new coarse-grained model provides a good example of the construction of a high-precision coarse-grained force field.


2013 ◽  
Vol 117 (9) ◽  
pp. 2717-2733 ◽  
Author(s):  
Carlos Avendaño ◽  
Thomas Lafitte ◽  
Claire S. Adjiman ◽  
Amparo Galindo ◽  
Erich A. Müller ◽  
...  

2007 ◽  
Vol 111 (27) ◽  
pp. 7812-7824 ◽  
Author(s):  
Siewert J. Marrink ◽  
H. Jelger Risselada ◽  
Serge Yefimov ◽  
D. Peter Tieleman ◽  
Alex H. de Vries

2012 ◽  
Vol 562-564 ◽  
pp. 123-128 ◽  
Author(s):  
Bo Du ◽  
Zi Lu Wang ◽  
Xue Hao He

A coarse-grained force field for poly (methylmethacrylate-b-2-vinyl pyridine) is developed based on the Iterative Boltzmann Inversion method. The proposed coarse-grained model, successfully reproduced the properties of the polymer melts obtained from atomistic simulations, may provide an efficient way to study their mechanical properties and self-assembly behaviors.


2016 ◽  
Vol 114 (18) ◽  
pp. 2597-2614 ◽  
Author(s):  
Pedro Morgado ◽  
Olga Lobanova ◽  
Erich A. Müller ◽  
George Jackson ◽  
Miguel Almeida ◽  
...  

2009 ◽  
Vol 107 (4-6) ◽  
pp. 331-341 ◽  
Author(s):  
B.M. Mognetti ◽  
M. Oettel ◽  
P. Virnau ◽  
L. Yelash ◽  
K. Binder

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