Applicability of Effective Fragment Potential Version 2-Molecular Dynamics (EFP2-MD) Simulations for Predicting Dynamic Liquid Properties Including the Supercritical Fluid Phase
Author(s) -
Nahoko Kuroki,
Hirotoshi Mori
Publication year - 2018
Publication title -
the journal of physical chemistry b
Language(s) - English
Resource type - Journals
eISSN - 1520-6106
pISSN - 1520-5207
DOI - 10.1021/acs.jpcb.8b07446
Subject(s) - supercritical fluid , molecular dynamics , fragment (logic) , phase (matter) , dynamics (music) , statistical physics , materials science , chemistry , computational chemistry , thermodynamics , computer science , physics , algorithm , organic chemistry , acoustics
Effective fragment potential version 2-molecular dynamics (EFP2-MD) simulations, where the EFP2 is a polarizable force field based on ab initio electronic structure calculations, were applied to predict the static and dynamic liquid properties of compressed liquid NH 3 . By analyzing the temperature dependence of the radial distribution function, the autocorrelation functions of velocity ( C v ( t)) and reorientation ( C r ( t)), and the self-diffusion constant, we clarified that the ab initio EFP2 force field can effectively describe the properties of compressed liquids. These descriptions can be performed with at least semiquantitative accuracy and at a sufficiently low computational cost. In the EFP2-MD protocol, no force field training is required. This training is mandatory when simulating liquid properties with classical MD techniques (especially in extreme conditions with high pressures and temperatures). EFP2-MD is a promising technique for predicting the physicochemical properties of novel functional compressed liquids, including supercritical fluid phase properties.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom