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Statistical mechanics dissipative systems

Clementi (1985) described ab initio computational chemistry as a global approach to simulations of complex chemical systems, derived directly from theory without recourse to empirical parametrizations. The intent is to break the computation into steps quantum mechanical computations for the elements of the system, construction of two-body potentials for the interactions between them, statistical mechanical simulations using the above potentials, and, finally, the treatment of higher levels of chemical complexity (e.g., dissipative behavior). This program has been followed for analysis of the hydration of DNA. Early work by Clementi et al. (1977) established intermolecular potentials for the interaction of lysozyme with water, given as maps of the energy of interaction of solvent water with the lysozyme surface. [Pg.120]

Over the past 15 years a number of important fundamental theorems in nonequilibrium statistical mechanics of many-particle systems have been proved. These proofs result in a number of important relations in nonequilibrium statistical mechanics. In this review we focus on three new relationships the dissipation function or Evans-Searles fluctuation relation (ES the Jarzynski equality... [Pg.181]

Ilya Prigogine (b. 1917 in Moscow, Russia) is Director of the International Solvay Institutes of Chemistry and Physics, Brussels, Belgium, and of the 1. Prigogine Center for Statistical Mechanics and Complex Systems, The University of Texas at Austin. He is a Belgian citizen. He received the Nobel Prize in Chemistry in 1977 for his contributions to non-equilibrium thermodynamics, particularly the theory of dissipative structures. ... [Pg.423]

Increase in entropy is associated with (i) decrease in order, (ii) increase in disorder and (iii) loss of information as predicted by Statistical Mechanics. Everything tends towards disorder. Any process that converts from one energy to another must lose heat. The universe is one-way street. Entropy must always increase in the universe and in any hypothetical system, within it. Although d S is greater than zero d S can be less than zero under certain circumstances, thereby generating a particular type of ordered structure which is called dissipative structure. [Pg.165]

The cut-off radius rc t is defined arbitrarily and reveals the range of interaction between the fluid particles. DPD model with longer cut-off radius reproduces better dynamical properties of realistic fluids expressed in terms of velocity correlation function [80]. Simultaneously, for a shorter cut-off radius, the efficiency of DPD codes increases as 0(1 /t ut). which allows for more precise computation of thermodynamic properties of the particle system from statistical mechanics point of view. A strong background drawn from statistical mechanics has been provided to DPD [43,80,81] from which explicit formulas for transport coefficients in terms of the particle interactions can be derived. The kinetic theory for standard hydrodynamic behavior in the DPD model was developed by Marsh et al. [81] for the low-friction (small value of yin Equation (26.25)), low-density case and vanishing conservative interactions Fc. In this weak scattering theory, the interactions between the dissipative particles produce only small deflections. [Pg.732]

As the foundation of quantum statistical mechanics, the theory of open quantum systems has remained an active topic of research since about the middle of the last century [1-40]. Its development has involved scientists working in fields as diversified as nuclear magnetic resonance, quantum optics and nonlinear spectroscopy, solid-state physics, material science, chemical physics, biophysics, and quantum information. The key quantity in quantum dissipation theory (QDT) is the reduced system density operator, defined formally as the partial trace of the total composite density operator over the stochastic surroundings (bath) degrees of freedom. [Pg.9]

In this chapter we examine the non-equilibrium response of a system to external perturbation forces. Example external perturbation forces are electromagnetic fields, and temperature, pressure, or concentration gradients. Under such external forces, systems move away from equilibrium and may reach a new steady state, where the added, perturbing energy is dissipated as heat by the system. Of interest is typically the transition between equilibrium and steady states, the determination of new steady states and the dissipation of energy. Herein, we present an introduction to the requisite statistical mechanical formalism. [Pg.202]

This contribution deals with the description of molecular systems electronically excited by light or by collisions, in terms of the statistical density operator. The advantage of using the density operator instead of the more usual wavefunction is that with the former it is possible to develop a consistent treatment of a many-atom system in contact with a medium (or bath), and of its dissipative dynamics. A fully classical calculation is usually suitable for a many-atom system in its ground electronic state, but is not acceptable when the system gets electronically excited, so that a quantum treatment must then be introduced initially. The quantum mechanical density operator (DOp) satisfies the Liouville-von Neumann (L-vN) equation [1-3], which involves the Hamiltonian operator of the whole system. When the system of interest, or object, is only part of the whole, the treatment can be based on the reduced density operator (RDOp) of the object, which satisfies a modified L-vN equation including dissipative rates [4-7]. [Pg.294]


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