Hydrodynamics of domain growth in nematic liquid crystals.

Phys Rev E Stat Nonlin Soft Matter Phys 67:5 Pt 1 (2003) 051705

Authors:

Géza Tóth, Colin Denniston, JM Yeomans

Abstract:

We study the growth of aligned domains in nematic liquid crystals. Results are obtained solving the Beris-Edwards equations of motion using the lattice Boltzmann approach. Spatial anisotropy in the domain growth is shown to be a consequence of the flow induced by the changing order parameter field (backflow). The generalization of the results to the growth of a cylindrical domain, which involves the dynamics of a defect ring, is discussed.

Jammed systems in slow flow need a new statistical mechanics

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences The Royal Society 361:1805 (2003) 741-751

Authors:

Jasna Brujic, Sam F Edwards, Dmitri Grinev

Dynamical Structure Factor in Cu Benzoate and other spin-1/2 antiferromagnetic chains

(2003)

Authors:

FHL Essler, A Furusaki, T Hikihara

Influence of solvent quality on effective pair potentials between polymers in solution

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 67:4 1 (2003) 418011-4180114

Authors:

V Krakoviack, JP Hansen, AA Louis

Abstract:

The effect of solvent quality on the effective pair potentials of the interacting linear polymers of a solution was investigated. The inversion of c.m. pair distribution function, by using the hypernetted chain closure method, was employed for the derivation of effective pair potentials. The pair potential was found to be strongly dependent on the polymer concentration and temperature.

Optimizing MIMO antenna systems with channel covariance feedback

IEEE Journal on Selected Areas in Communications 21:3 (2003) 406-417

Authors:

SH Simon, AL Moustakas

Abstract:

In this paper, we consider a narrowband point-to-point communication system with nT transmitters and nR receivers. We assume the receiver has perfect knowledge of the channel, while the transmitter has no channel knowledge. We consider the case where the receiving antenna array has uncorrelated elements, while the elements of the transmitting array are arbitrarily correlated. Focusing on the case where nT = 2, we derive simple analytic expressions for the ergodic average and the cumulative distribution function of the mutual information for arbitrary input (transmission) signal covariance. We then determine the ergodic and outage capacities and the associated optimal input signal covariances. We thus show how a transmitter with covariance knowledge should correlate its transmissions to maximize throughput. These results allow us to derive an exact condition (both necessary and sufficient) that determines when beamforming is optimal for systems with arbitrary number of transmitters and receivers.