Jm. Polson et Ee. Burnell, MONTE-CARLO SIMULATIONS OF SOLUTE ORDERING IN NEMATIC LIQUID-CRYSTALS- SHAPE ANISOTROPY AND QUADRUPOLE-QUADRUPOLE INTERACTIONS AS ORIENTING MECHANISMS, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 55(4), 1997, pp. 4321-4337
Monte Carlo computer simulations were used to investigate the effects
of shape anisotropy and electrostatic interactions as mechanisms for o
rientational ordering of solutes in nematic liquid crystals. The simul
ation results were analyzed in terms of two theories of solute orderin
g which derive mean-field orientational potentials from the intermolec
ular pair potential. In the calculations, solute and solvent molecular
shapes were approximated by hard ellipsoids. Most simulations also in
corporated the interaction between point quadrupole moments placed at
the centers of the ellipsoids. In the hard-core systems, orientational
order parameters and distribution functions were calculated for a col
lection of different solutes under a variety of conditions. A theory d
ue to Terzis and Photinos [Mol. Phys. 83, 847 (1994)] was found to und
erestimate the effect of shape anisotropy on orientational ordering dr
astically. The introduction of an effective solvent packing fraction w
as unable to improve the predictive power of the theory significantly.
The quadrupolar systems were used to investigate a mean-field model f
or solute ordering which considers an interaction between the solute m
olecular quadrupole moment with an average electric-field gradient. Th
e simulations indicate that the electric-field gradient sampled by the
solute is highly dependent on the properties of the solute, contrary
to some experimental evidence. Further, the effects of the intermolecu
lar quadrupolar interactions on orientational ordering and the electri
c-field gradient were analyzed using a mean-field potential derived he
re and based on the theory due to Emsley, Palke, and Shilstone [Liq. C
ryst. 9, 649 (1991)]. This model was found to provide a qualitatively
correct but quantitatively imprecise prediction of orientational order
ing.