The relationship between bulk water and protein dynamical transitions

ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 234 (2007)

Authors:

Teresa Head-Gordon, Margaret E Johnson, Cecile Malardier-Jugroot, Ard A Louis, Rajesh K Murarka

Viscoelastic flows of cholesteric liquid crystals

MOL CRYST LIQ CRYST 465 (2007) 1-14

Authors:

E Orlandini, D Marenduzzo, JM Yeomans

Abstract:

We numerically solve the hydrodynamic equations of motion for a cholesteric liquid crystal under an imposed Poiseuille flow, by means of lattice Boltzmann simulations. The elasticity of the cholesteric helix couples to the external flow to give rise to a highly viscoelastic flow. This is a technically difficult problem for standard flow solvers due to its fully two-dimensional nature. We consider a helix with axis parallel to the boundaries, and at the same time to either the primary flow or the vorticity direction (we identify these two flow modes as permeation and vorticity mode respectively). We quantify the large difference found in the steady state director and velocity profiles, and in the apparent viscosities obtained in the two cases.

Loop models and their critical points

Journal of Physics A: Mathematical and Theoretical IOP Publishing 39:50 (2006) 15445

Cooper pairs and exclusion statistics from coupled free-fermion chains

(2006)

Authors:

Paul Fendley, Kareljan Schoutens

Capacity and character expansions: Moment-generating function and other exact results for MIMO correlated channels

IEEE Transactions on Information Theory 52:12 (2006) 5336-5351

Authors:

SH Simon, AL Moustakas, L Marinelli

Abstract:

A promising new method from the field of representations of Lie groups is applied to calculate integrals over unitary groups, which are important for multiantenna communications. To demonstrate the power and simplicity of this technique, a number of recent results are rederived, using only a few simple steps. In particular, we derive the joint probability distribution of eigenvalues of the matrix GG† with G a nonzero mean or a semicor-related Gaussian random matrix. These joint probability distribution functions can then be used to calculate the moment generating function of the mutual information for Gaussian multiple-input multiple-output (MIMO) channels with these probability distribution of their channel matrices G. We then turn to the previously unsolved problem of calculating the moment generating function of the mutual information of MIMO channels, which are correlated at both the receiver and the transmitter. From this moment generating function we obtain the ergodic average of the mutual information and study the outage probability. These methods can be applied to a number of other problems. As a particular example, we examine unitary encoded space-time transmission of MIMO systems and we derive the received signal distribution when the channel matrix is correlated at the transmitter end. © 2006 IEEE.