jp212300d_si_001.pdf (361.48 kB)
Download fileDerivation of Coarse Grained Models for Multiscale Simulation of Liquid Crystalline Phase Transitions
journal contribution
posted on 2012-07-26, 00:00 authored by Biswaroop Mukherjee, Luigi Delle Site, Kurt Kremer, Christine PeterWe present a systematic derivation of a coarse grained
(CG) model
for molecular dynamics (MD) simulations of a liquid crystalline (LC)
compound containing an azobenzene mesogen. The model aims at a later
use in a multiscale modeling approach to study liquid crystalline
phase transitions that are (photo)induced by the trans/cis photoisomerization
of the mesogen. One of the
major challenges in the coarse graining process is the development
of models that are for a given chemical system structurally consistent
with for example an all-atom reference model and reproduce relevant
thermodynamic properties such as the LC phase behavior around the
state point of interest. The reduction of number of degrees of freedom
makes the resulting coarse models by construction state point dependent;
that is, they cannot easily be transferred to a range of temperatures,
densities, system compositions, etc. These are significant challenges,
in particular if one wants to study LC phase transitions (thermally
or photoinduced). In the present paper we show how one can systematically
derive a CG model for a LC molecule that is highly consistent with
an atomistic description by choosing an appropriate state point for
the reference simulation. The reference state point is the supercooled
liquid just below the smectic-isotropic phase transition which is
characterized by a high degree of local nematic order while being
overall isotropic. With the resulting CG model it is possible to switch
between the atomistic and the CG levels (and vice versa) in a seamless
manner maintaining values of all the relevant order parameters which
describe the smectic A (smA) state. This model will allow us in the
future to link large length scale and long time scale CG simulations
of the LC state with chemically accurate QM/MM simulations of the
photoisomerization process.