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Microcanonical

The microcanonical ensemble is a set of systems each having the same number of molecules N, the same volume V and the same energy U. In such an ensemble of isolated systems, any allowed quantum state is equally probable. In classical thennodynamics at equilibrium at constant n (or equivalently, N), V, and U, it is the entropy S that is a maximum. For the microcanonical ensemble, the entropy is directly related to the number of allowed quantum states C1(N,V,U) ... [Pg.375]

An explicit example of an equilibrium ensemble is the microcanonical ensemble, which describes closed systems with adiabatic walls. Such systems have constraints of fixed N, V and E < W< E + E. E is very small compared to E, and corresponds to the assumed very weak interaction of the isolated system with the surroundings. E has to be chosen such that it is larger than (Si )... [Pg.386]

The microcanonical ensemble is a certain model for the repetition of experiments in every repetition, the system has exactly the same energy, Wand F but otherwise there is no experimental control over its microstate. Because the microcanonical ensemble distribution depends only on the total energy, which is a constant of motion, it is time independent and mean values calculated with it are also time independent. This is as it should be for an equilibrium system. Besides the ensemble average value (il), another coimnonly used average is the most probable value, which is the value of tS(p, q) that is possessed by the largest number of systems in the ensemble. The ensemble average and the most probable value are nearly equal if the mean square fluctuation is small, i.e. if... [Pg.387]

In the last subsection, the microcanonical ensemble was fomuilated as an ensemble from which the equilibrium, properties of a dynamical system can be detennined by its energy alone. We used the postulate of... [Pg.387]

For a microcanonical ensemble, p = [F( )] for each of the allowed F( ) microstates. Thns for an isolated system in eqnilibrinm, represented by a microcanonical ensemble. [Pg.389]

The definition of entropy and the identification of temperature made in the last subsection provides us with a coimection between the microcanonical ensemble and themiodynamics. [Pg.392]

For practical calculations, the microcanonical ensemble is not as useful as other ensembles corresponding to more connnonly occurring experimental situations. Such equilibrium ensembles are considered next. [Pg.394]

This behaviour is characteristic of thennodynamic fluctuations. This behaviour also implies the equivalence of various ensembles in the thermodynamic limit. Specifically, as A —> oo tire energy fluctuations vanish, the partition of energy between the system and the reservoir becomes uniquely defined and the thennodynamic properties m microcanonical and canonical ensembles become identical. [Pg.399]

It may be iisefiil to mention here one currently widely applied approximation for barrierless reactions, which is now frequently called microcanonical and canonical variational transition state theory (equivalent to the minimum density of states and maximum free energy transition state theory in figure A3,4,7. This type of theory can be understood by considering the partition fiinctions Q r ) as fiinctions of r similar to equation (A3,4.108) but with F (r ) instead of V Obviously 2(r J > Q so that the best possible choice for a... [Pg.784]

Equation (ASA. 110) represents the canonical fonn T= constant) of the variational theory. Minimization at constant energy yields the analogous microcanonical version. It is clear that, in general, this is only an approximation to the general theory, although this point has sometimes been overlooked. One may also define a free energy... [Pg.784]

RRKM fit to microcanonical rate constants of isolated tran.s-stilbene and the solid curve a fit that uses a reaction barrier height reduced by solute-solvent interaction [46],... [Pg.855]

As reactants transfonn to products in a chemical reaction, reactant bonds are broken and refomied for the products. Different theoretical models are used to describe this process ranging from time-dependent classical or quantum dynamics [1,2], in which the motions of individual atoms are propagated, to models based on the postidates of statistical mechanics [3], The validity of the latter models depends on whether statistical mechanical treatments represent the actual nature of the atomic motions during the chemical reaction. Such a statistical mechanical description has been widely used in imimolecular kinetics [4] and appears to be an accurate model for many reactions. It is particularly instructive to discuss statistical models for unimolecular reactions, since the model may be fomuilated at the elementary microcanonical level and then averaged to obtain the canonical model. [Pg.1006]

RRKM theory assumes a microcanonical ensemble of A vibrational/rotational states within the energy interval E E + dE, so that each of these states is populated statistically with an equal probability [4]. This assumption of a microcanonical distribution means that the unimolecular rate constant for A only depends on energy, and not on the maimer in which A is energized. If N(0) is the number of A molecules excited at / =... [Pg.1008]

The rapid IVR assumption of RRKM theory means that a microcanonical ensemble is maintained as the A molecnles decompose so that, at any time t, k(E) is given by... [Pg.1009]

Figure A3,12.2(a) illnstrates the lifetime distribution of RRKM theory and shows random transitions among all states at some energy high enongh for eventual reaction (toward the right). In reality, transitions between quantum states (though coupled) are not equally probable some are more likely than others. Therefore, transitions between states mnst be snfficiently rapid and disorderly for the RRKM assumption to be mimicked, as qualitatively depicted in figure A3.12.2(b). The situation depicted in these figures, where a microcanonical ensemble exists at t = 0 and rapid IVR maintains its existence during the decomposition, is called intrinsic RRKM behaviour [9]. Figure A3,12.2(a) illnstrates the lifetime distribution of RRKM theory and shows random transitions among all states at some energy high enongh for eventual reaction (toward the right). In reality, transitions between quantum states (though coupled) are not equally probable some are more likely than others. Therefore, transitions between states mnst be snfficiently rapid and disorderly for the RRKM assumption to be mimicked, as qualitatively depicted in figure A3.12.2(b). The situation depicted in these figures, where a microcanonical ensemble exists at t = 0 and rapid IVR maintains its existence during the decomposition, is called intrinsic RRKM behaviour [9].
The hypersurface fomied from variations in the system s coordinates and momenta at//(p, q) = /Tis the microcanonical system s phase space, which, for a Hamiltonian with 3n coordinates, has a dimension of 6n -1. The assumption that the system s states are populated statistically means that the population density over the whole surface of the phase space is unifomi. Thus, the ratio of molecules at the dividing surface to the total molecules [dA(qi, p )/A]... [Pg.1011]

In deriving the RRKM rate constant in section A3.12.3.1. it is assumed that the rate at which reactant molecules cross the transition state, in the direction of products, is the same rate at which the reactants fonn products. Thus, if any of the trajectories which cross the transition state in the product direction return to the reactant phase space, i.e. recross the transition state, the actual unimolecular rate constant will be smaller than that predicted by RRKM theory. This one-way crossing of the transition state, witii no recrossmg, is a fiindamental assumption of transition state theory [21]. Because it is incorporated in RRKM theory, this theory is also known as microcanonical transition state theory. [Pg.1015]

As a result of possible recrossings of the transition state, the classical RRKM lc(E) is an upper bound to the correct classical microcanonical rate constant. The transition state should serve as a bottleneck between reactants and products, and in variational RRKM theory [22] the position of the transition state along q is varied to minimize k E). This minimum k E) is expected to be the closest to the truth. The quantity actually minimized is N (E - E ) in equation (A3.12.15). so the operational equation in variational RRKM theory is... [Pg.1015]

The bulk of the infomiation about anhannonicity has come from classical mechanical calculations. As described above, the aidiannonic RRKM rate constant for an analytic potential energy fiinction may be detemiined from either equation (A3.12.4) [13] or equation (A3.12.24) [46] by sampling a microcanonical ensemble. This rate constant and the one calculated from the hamionic frequencies for the analytic potential give the aidiannonic correctiony j ( , J) in equation (A3.12.41). The transition state s aidiannonic classical sum of states is found from the phase space integral... [Pg.1021]

This expression, and variations of it, have been used to fit classical anliamionic microcanonical k(E, J) for unimolecular decomposition [56]. [Pg.1022]

In the above discussion it was assumed that the barriers are low for transitions between the different confonnations of the fluxional molecule, as depicted in figure A3.12.5 and therefore the transitions occur on a timescale much shorter than the RRKM lifetime. This is the rapid IVR assumption of RRKM theory discussed in section A3.12.2. Accordingly, an initial microcanonical ensemble over all the confonnations decays exponentially. However, for some fluxional molecules, transitions between the different confonnations may be slower than the RRKM rate, giving rise to bottlenecks in the unimolecular dissociation [4, ]. The ensuing lifetime distribution, equation (A3.12.7), will be non-exponential, as is the case for intrinsic non-RRKM dynamics, for an mitial microcanonical ensemble of molecular states. [Pg.1024]

The first classical trajectory study of iinimoleciilar decomposition and intramolecular motion for realistic anhannonic molecular Hamiltonians was perfonned by Bunker [12,13], Both intrinsic RRKM and non-RRKM dynamics was observed in these studies. Since this pioneering work, there have been numerous additional studies [9,k7,30,M,M, ai d from which two distinct types of intramolecular motion, chaotic and quasiperiodic [14], have been identified. Both are depicted in figure A3,12,7. Chaotic vibrational motion is not regular as predicted by tire nonnal-mode model and, instead, there is energy transfer between the modes. If all the modes of the molecule participate in the chaotic motion and energy flow is sufficiently rapid, an initial microcanonical ensemble is maintained as the molecule dissociates and RRKM behaviour is observed [9], For non-random excitation initial apparent non-RRKM behaviour is observed, but at longer times a microcanonical ensemble of states is fonned and the probability of decomposition becomes that of RRKM theory. [Pg.1026]


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See also in sourсe #XX -- [ Pg.195 , Pg.233 ]

See also in sourсe #XX -- [ Pg.195 , Pg.233 ]




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Applications to Microcanonical Simulations

Approximate microcanonical ensemble

Density operator, microcanonical

Effect microcanonical

Efficient microcanonical sampling

Entropy microcanonical configurational

Entropy microcanonical ensemble

Exponential relation, microcanonical

Fluctuation-dissipation theorem microcanonical distribution

Microcanonical Prescription

Microcanonical VTST

Microcanonical analysis

Microcanonical average

Microcanonical constant

Microcanonical dissociation rates

Microcanonical distribution

Microcanonical ensemble

Microcanonical ensemble (NVE

Microcanonical ensemble, Monte Carlo

Microcanonical ensemble, definition

Microcanonical ensemble, potential energy

Microcanonical ensemble, potential energy surfaces

Microcanonical entropy

Microcanonical equilibrium

Microcanonical ergodicity

Microcanonical interpretation The backbending effect

Microcanonical measure

Microcanonical normal mode sampling

Microcanonical optimized multidimensional tunneling

Microcanonical partition function

Microcanonical process

Microcanonical rate coefficient

Microcanonical rate constant

Microcanonical rate constant, unimolecular

Microcanonical sampling

Microcanonical sampling accurate

Microcanonical specific heat

Microcanonical system

Microcanonical temperature

Microcanonical temperature Arrhenius-like relation

Microcanonical temperature definition

Microcanonical temperature local temperatures

Microcanonical temperature multichannel chemical isomerization

Microcanonical temperature single exponential form

Microcanonical time correlated

Microcanonical trajectory

Microcanonical variation transition state

Microcanonical variation transition state theory

Microcanonical variational theory,

Microcanonical variational transition-state

Microcanonical-ensemble statistical

Microcanonical-ensemble statistical mechanics

Microcanonically optimized multidimensional

Microcanonically optimized multidimensional tunneling

Microcanonically optimized tunneling

Molecular dynamics microcanonical ensembles

Monte Carlo simulation microcanonical ensembles

Multichannel chemical microcanonical temperature

Partition function microcanonical ensemble

Phase Space Distributions and Microcanonical Averages

Potential energy surfaces microcanonical temperature

RRKM theory microcanonical

Rates microcanonical

Relation to Microcanonical Ensemble

Solvent dynamics microcanonical

Systematic microcanonical analysis of adsorption transitions

Temperature dependence microcanonical states

The Microcanonical Ensemble

The Microcanonical Probability Measure

The Microcanonical Probability Measure and Averages

The Microcanonically Optimized Transmission Coefficient

Transition-state theory microcanonical

Variational transition-state theory microcanonical

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