Calculation of Diffusion Coefficients through Coarse-Grained Simulations Using the Automated-Fragmentation-Parametrization Method and the Recovery of Wilke-Chang Statistical Correlation

被引:15
作者
Fraaije, Johannes G. E. M. [1 ,2 ]
van Male, Jan [2 ]
Becherer, Paul [2 ]
Gracia, Ruben Serral [2 ]
机构
[1] Leiden Univ, Leiden Inst Chem, POB 9500, NL-2300 RA Leiden, Netherlands
[2] CULGI BV, Galileiweg 8, NL-2333 BD Leiden, Netherlands
关键词
MOLECULAR-DYNAMICS SIMULATIONS; DISSIPATIVE PARTICLE DYNAMICS; PROPERTY PREDICTION; MODEL;
D O I
10.1021/acs.jctc.7b01093
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
We introduce a model for the calculation of diffusion coefficients using dissipative particle dynamics coarse-grained molecular simulations. We validate the model on experimental diffusion data of small organics and drug-like molecules in water. The new model relies on our automated-fragmentation-parametrization protocol for cutting molecules into fragments, which are calibrated using the COSMO-RS thermodynamic model (J. Chem. Inf. Model. 2016, 56 (12), 2361-2377, DOI: 10.1021/acs.jcim.6b00003). By simulations over the entire CULGI database of more than 11000 molecules, we recover the decades-old empirical Wilke-Chang correlation between diffusion coefficient and molar volume. We believe this is the first demonstration of the correlation by simulation or theory. From a comparison of simulated and experimental diffusion coefficients, we find that one full time unit of coarse-grained simulation equals 64 +/- 13 ps real time.
引用
收藏
页码:479 / 485
页数:7
相关论文
共 26 条
[1]  
Berendsen H. J. C., 2007, Simulating the Physical World
[2]   Systematic coarse-graining methods for soft matter simulations - a review [J].
Brini, Emiliano ;
Algaer, Elena A. ;
Ganguly, Pritam ;
Li, Chunli ;
Rodriguez-Ropero, Francisco ;
van der Vegt, Nico F. A. .
SOFT MATTER, 2013, 9 (07) :2108-2119
[3]  
Cussler E.L., 2009, Diffusion: Mass transfer in fluid systems
[4]  
de Jong D. H., 2013, THESIS
[5]   COSMO-RS as a tool for property prediction of IL mixtures-A review [J].
Diedenhofen, Michael ;
Klamt, Andreas .
FLUID PHASE EQUILIBRIA, 2010, 294 (1-2) :31-38
[6]   Perspective: Dissipative particle dynamics [J].
Espanol, Pep ;
Warren, Patrick B. .
JOURNAL OF CHEMICAL PHYSICS, 2017, 146 (15)
[7]   Coarse-Grained Models for Automated Fragmentation and Parametrization of Molecular Databases [J].
Fraaije, Johannes G. E. M. ;
van Male, Jan ;
Becherer, Paul ;
Gracia, Ruben Serral .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2016, 56 (12) :2361-2377
[8]  
Frenkel D., 1996, Understanding Molecular Simulation: from Algorithms to Applications
[9]   A test of systematic coarse-graining of molecular dynamics simulations: Transport properties [J].
Fu, Chia-Chun ;
Kulkarni, Pandurang M. ;
Shell, M. Scott ;
Leal, L. Gary .
JOURNAL OF CHEMICAL PHYSICS, 2013, 139 (09)
[10]   Dissipative particle dynamics: Bridging the gap between atomistic and mesoscopic simulation [J].
Groot, RD ;
Warren, PB .
JOURNAL OF CHEMICAL PHYSICS, 1997, 107 (11) :4423-4435