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Gibbs distribution

Consequently, AG is defined by Cc coefficient as well as by the change of element deflection, labor over the system, and the number of intermolecular bonds. The value of Cc approaches the A G value observed in similar reactions with the participation of only low-molecular compounds. As intermolecular bonds are distributed in elements according to Gibbs distribution, then chain parts between the molecular bonds and branching points possess different lengths in which the lengths of nonassociated parts are also different. Gibbs distribution is only performed in polymer equilibrium, which usually exists in so-called stationary states. [Pg.365]

Let the minimum of the potential U(angular coordinate value

probability density fl co, (p) for a particle to be located at a point with the angular coordinate (p and to have the angular velocity co under thermodynamic equilibrium with a thermostat is given by the Gibbs distribution ... [Pg.160]

Nonequilibrium Steady State (NESS). The system is driven by external forces (either time dependent or nonconservative) in a stationary nonequilibrium state, where its properties do not change with time. The steady state is an irreversible nonequilibrium process that cannot be described by the Boltzmann-Gibbs distribution, where the average heat that is dissipated by the system (equal to the entropy production of the bath) is positive. [Pg.40]

The stationary distribution over the wells is formed over a time max Vkrllr[. For the case of white Gaussian noise this distribution has the well-known form of the Gibbs distribution ... [Pg.479]

The statistical properties of the particle assembly in equilibrium follow from the Gibbs distribution... [Pg.574]

In the model the fact that at temperature T > 0 the particle (H2 molecule) can jump to exited levels z and change by that the distribution p(r) and the average energy of a particle Etot(a,7 ) = g.Q. was taken into account. Using the Gibbs distribution for the energy level occupation at given temperature T, one can calculate Etot(a,7 ) and other quantities depended on the temperature T and pressure P in the system. [Pg.130]

Thus, in a statistically equilibrium system containing a large number of independent submacroscopic subsystems these satisfy the canonical Gibbs distribution. In this case, the following general equations describe the system ... [Pg.48]

Steady-state models of homogeneous systems with regular fluxes based on the assumption of Gibbs distribution of micropores in energy are sufficiently simple for engineering use, while other models should be simplified before their recommendation for engineering use. [Pg.79]

The model of pore formation in system with random fluxes assumes the Gibbs distribution of subsystems in negentropy, this one being estimated from the negentropy balance. [Pg.79]

If we select a gas that is so dilute that we need only consider that two molecules at a time will be close enough to each other to give a considerable force between them, we can use the Gibbs distribution for P(r)... [Pg.200]

Standard approximate methods, e.g., the Percus-Yevick or hyper-chain approximations, are applicable for systems with the Gibbs distribution and are based on the distinctive Boltzmann factor like exp —U r)/ ksT)), where U(r) is the potential energy of interacting particles. The basic kinetic equation (2.3.53) has nothing to do with the Gibbs distribution. The only approximate method neutral with respect to the ensemble averaging is the Kirkwood approximation [76, 77, 87]. [Pg.124]

Introducing the free energy by definition F = -kBTZ, then in terms of free energy, the Gibbs distribution is written as usual... [Pg.73]

Figure 15. The current voltage curve of the tunnel transition via the dipole. Averaging of it coordinate between electrodes is given classically with the Gibbs distribution. The step increase of current is due to shuttling. Figure 15. The current voltage curve of the tunnel transition via the dipole. Averaging of it coordinate between electrodes is given classically with the Gibbs distribution. The step increase of current is due to shuttling.
S. Geman and D. Geman, Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans Pattern Anal Machine Intelligence 6 721-741 (1984). [Pg.162]

Gibbs accepts sequence data in FASTA format. The Gibbs distribution contains a sample data file, crp.dat. This file, along with all data files used in this article, is available for download at http //bayesweb.wadsworth.org/ gibbs/module. [Pg.406]

If diatomic molecnles are considered harmonic oscillators, the vibrational distribution function follows the same Boltzmann formnla (3-12) even when > To. Interesting non-eqnilibrinm statistical phenomena take place, however, when we take into account anharmonicity. Then vibrational-vibrational (W) exchange is not resonant and translational degrees of freedom become involved in the vibrational distribution, which results in a strong deviation from the Boltzmann distribntion. Considering vibrational quanta as qnasi-particles, and nsing the Gibbs distribution with a variable number of quasi-particles, V, the relative population of vibrational levels can be expressed (Kuznetzov, 1971) as... [Pg.99]

The Gibbs distribution (3-35), together with (3-34) and (3-36), leads to a nonequilibrium vibrational distribution of diatomic molecules known as the Treanor distribution (Treanor, Rich, Rehm, 1968) ... [Pg.99]

A recent example of a high order EDA can be found in the multi-variate DEUM model, [23]. DEUM performs distribution estimation using Markov random fields (MRF). The HEDA shares its structure with a second order MRF but differs in the way it represents the fitness function. An MRF attempts to model the probability distribution of highly fit patterns as a product across cliques in the graph, which is equivalent to a Gibbs distribution, in which the probability of a pattern across the inputs is calculated as the exponential of the energy state. [Pg.268]

Instead of a deterministic system of ordinary differential equations, we now have a stochastic system. Given a set of points Mo in the phase space, we consider the stochastic paths emanating from these points, with each point from the distribution viewed as an initial condition for the evolving SDE. At any time t we take a snapshot M, of the resulting set of random variables. Even if Mq is bounded, the evolving set of points would be expected to expand and fill in the phase space accessible at the temperature T eventually we hope that the points will be distributed in the entire phase space in accordance with the target measure (usually the Gibbs distribution... [Pg.244]


See other pages where Gibbs distribution is mentioned: [Pg.101]    [Pg.755]    [Pg.63]    [Pg.76]    [Pg.109]    [Pg.124]    [Pg.259]    [Pg.68]    [Pg.242]    [Pg.93]    [Pg.538]    [Pg.550]    [Pg.109]    [Pg.115]    [Pg.115]    [Pg.354]    [Pg.156]    [Pg.60]    [Pg.101]    [Pg.1450]    [Pg.9]    [Pg.214]    [Pg.262]   
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See also in sourсe #XX -- [ Pg.9 ]

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See also in sourсe #XX -- [ Pg.299 ]




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