A new version release (4.0) of the molecular simulation tool ms2 (Deublein et al. 2011; Glass et al. 2014; Rutkai et al. 2017) is presented. Version 4.0 of ms2 features two additional potential functions to address the repulsive and dispersive interactions in a more versatile way, i.e. the Mie potential and the Tang–Toennies potential. This version further introduces Kirkwood–Buff integrals based on radial distribution functions, which allow the sampling of the thermodynamic factor of mixtures with up to four components, orientational distribution functions to elucidate mutual configurations of neighboring molecules, thermal diffusion coefficients of binary mixtures for heat, mass as well as coupled heat and mass transport, Einstein relations to sample transport properties with an alternative to the Green–Kubo formalism, dielectric constant of non-polarizable fluid models, vapor–liquid equilibria relying on the second virial coefficient and cluster criteria to identify nucleation. New version programm summaryProgram Title: ms2Program Files doi:http://dx.doi.org/10.17632/nsfj67wydx.3Licensing provisions: CC by NC 3.0Programming language: Fortran95Supplemental material: A detailed description of the parameter setup for the introduced methods, properties, functionalities etc. is given in the supplemental material. Furthermore, all molecular force field models developed by our group are provided by the MolMod Database: Stephan et al., Mol. Sim. 45 (2019) 806Journal reference of previous version: Deublein et al., Comput. Phys. Commun. 182 (2011) 2350 and Glass et al., Comput. Phys. Commun. 185 (2014) 3302 and Rutkai et al., Comput. Phys. Commun. 221 (2017) 343Does the new version supersede the previous version?: YesReasons for the new version: Introduction of new features as well as enhancement of computational efficiencySummary of revisions: Two new potential functions to address repulsive and dispersive interactions (Mie and Tang–Toennies potential), new properties (Helmholtz energy, Kirkwood–Buff integrals, thermodynamic factor, thermal diffusion coefficients, dielectric constant, mean squared displacement and non-Gaussian parameter), new functionalities (Kirkwood–Buff integration with extrapolation to the thermodynamic limit, van der Vegt correction for the radial distribution function, orientational distribution function, Einstein relations, vapor–liquid equilibria estimations, cluster criteria to identify nucleation).Nature of problem: Calculation of application-oriented thermodynamic properties: vapor–liquid equilibria of pure fluids and multi-component mixtures, thermal, caloric and entropic data as well as transport properties and data on microscopic structureSolution method: Molecular dynamics, Monte Carlo, various ensembles, Grand equilibrium method, Green–Kubo formalism, Einstein formalism, Lustig formalism, OPAS method, smooth-particle mesh Ewald summation.
Read full abstract