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Entropy time-dependent

Figure A3.4.1 shows as an example the time dependent concentrations and entropy for the simple decomposition reaction of chloroethane ... Figure A3.4.1 shows as an example the time dependent concentrations and entropy for the simple decomposition reaction of chloroethane ...
Figure B2.5.21. Time-dependent entropy S(t) /. S of CHD F starting from a pure CH stretehing exeitation... Figure B2.5.21. Time-dependent entropy S(t) /. S of CHD F starting from a pure CH stretehing exeitation...
This result holds equally well, of course, when R happens to be the operator representing the entropy of an ensemble. Both Tr Wx In Wx and Tr WN In WN are invariant under unitary transformations, and so have no time dependence arising from the Schrodinger equation. This implies a paradox with the second law of thermodynamics in that apparently no increase in entropy can occur in an equilibrium isolated system. This paradox has been resolved by observing that no real laboratory system can in fact be conceived in which the hamiltonian is truly independent of time the uncertainty principle allows virtual fluctuations of the hamiltonian with time at all boundaries that are used to define the configuration and isolate the system, and it is easy to prove that such fluctuations necessarily increase the entropy.30... [Pg.482]

A physically acceptable theory of electrical resistance, or of heat conductivity, must contain a discussion of the explicitly time-dependent hamiltonian needed to supply the current at one boundary and remove it at another boundary of the macrosystem. Lacking this feature, recent theories of such transport phenomena contain no mechanism for irreversible entropy increase, and can be of little more than heuristic value. [Pg.483]

The probability distribution is normalized by ZM( p, t), which is a time-dependent partition function whose logarithm gives the nonequilibrium total entropy, which may be used as a generating function. [Pg.53]

The enthalpy of copper at nitrogen temperature is H77K = 6 J/g, so the total entropy of the sphere will be about 6 x 106 J. The time needed to cool from 77 K down to 4K is of the order of 4h. The total helium consumption from room temperature to 4.2 K would be about 6001. The temperatures reached in a test run are reported in Table 16.2. The expected final sphere temperature is about 20 mK. A comparison of MiniGRAIL and Nautilus cool down is made in Table 16.2. The high power leak on the sphere has been attributed to a time-dependent heat leak caused by the ortho-para conversion (see Section 2.2) of molecular hydrogen present in the copper of the sphere (see Fig. 16.5) (the Nautilus bar instead is made by Al). A similar problem has been found in the cool down of the CUORICINO Frame (see Section 16.6). [Pg.357]

The rate of change in di5 (defined as the time-dependent change in the entropy change within the system) can then be written as ... [Pg.508]

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]

Fig. 19, where the exponential tail is restricted to the region Q < 0. Why are spontaneous events not observed for 2 > 0 The reason is that spontaneous events can only release and not absorb energy from the environment see Eq. (215). This is in line with the argumentation put forward in Section VI.A, where the first time that cooperative regions release the stress energy, it gets irreversibly lost as heat in the environment. As the number of stressed regions monotonically decreases as a function of time, the weight of the heat exponential tails decreases with the age of the system as observed in Fig. 19. The idea that only energy decreasing events contribute to the effective temperature (Eq. (215)) makes it possible to define a time-dependent configurational entropy [189]. Fig. 19, where the exponential tail is restricted to the region Q < 0. Why are spontaneous events not observed for 2 > 0 The reason is that spontaneous events can only release and not absorb energy from the environment see Eq. (215). This is in line with the argumentation put forward in Section VI.A, where the first time that cooperative regions release the stress energy, it gets irreversibly lost as heat in the environment. As the number of stressed regions monotonically decreases as a function of time, the weight of the heat exponential tails decreases with the age of the system as observed in Fig. 19. The idea that only energy decreasing events contribute to the effective temperature (Eq. (215)) makes it possible to define a time-dependent configurational entropy [189].
Figure 1. Time-dependent entropy for the three strongly coupled CH stretching and bending vibrations in CF2HC1 [6]. Figure 1. Time-dependent entropy for the three strongly coupled CH stretching and bending vibrations in CF2HC1 [6].
Here Fe(t) and Fg(t) are the time-dependent nonequilibrium Helmholtz free energies of the e and g states, respectively. The energy difference A U(t) can be replaced by a free energy difference due to the fact that the entropy is unchanged in a Franck-Condon transition [51]. Free energies in Eq. (3) can be represented [54] by a sum of an equilibrium value Fcq and an additional contribution related to nonequilibrium orientational polarization in the solvent. Thus for the free energy in the excited state Fe(t) we have... [Pg.8]

In an irreversible process, in conformity with the second law of thermodynamics, the magnitude that determines the time dependence of an isolated thermodynamic system is the entropy, S [23-26], Consequently, in a closed system, processes that merely lead to an increase in entropy are feasible. The necessary and sufficient condition for a stable state, in an isolated system, is that the entropy has attained its maximum value [26], Therefore, the most probable state is that in which the entropy is maximum. [Pg.220]

Figure 2.5 The rate of energy dissipation (entropy production) near the stationary point in a system close to thermodynamic equilibrium dependence of P = Td S/dt on thermodynamic driving forces nearby stationary point Xj (A) time dependence of P(7, 3) and dP/dt 2, 4) on approaching the stationary state (B). The vertical dashed line stands for the moment of approaching the stationary state by the system, and wavy line for escaping the stationary state caused by an internal perturbation (fluctuation). Figure 2.5 The rate of energy dissipation (entropy production) near the stationary point in a system close to thermodynamic equilibrium dependence of P = Td S/dt on thermodynamic driving forces nearby stationary point Xj (A) time dependence of P(7, 3) and dP/dt 2, 4) on approaching the stationary state (B). The vertical dashed line stands for the moment of approaching the stationary state by the system, and wavy line for escaping the stationary state caused by an internal perturbation (fluctuation).
In this review, we begin with a treatment of the functional theory employing as basis the maximum entropy principle for the determination of the density matrix of equilibrium ensembles of any system. This naturally leads to the time-dependent functional theory which will be based on the TD-density matrix which obeys the von Neumann equation of motion. In this way, we present a unified formulation of the functional theory of a condensed matter system for both equilibrium and non-equilibrium situations, which we hope will give the reader a complete picture of the functional approach to many-body interacting systems of interest to condensed matter physics and chemistry. [Pg.175]

Furthermore, the explicit-water simulations do include the CDS terms to the extent that dispersion and hydrogen bonding are well represented by the force field. Finally, by virtue of the solvent being explicitly part of the system, it is possible to derive many useful non-entropy-based properties "" (radial distribution functions, average numbers of hydrogen bonds, size and stability of the first solvation shell, time-dependent correlation functions, etc.). Since many of these properties are experimentally observable, it is often possible to identify and correct at least some deficiencies in the simulation. Simulation is thus an extremely powerful tool for studying solvation, especially when focused on the response of the solvent to the solute. [Pg.7]

Unie resolved ground state hole spectra of cresyl violet in acetonitrile, methanol, and ethanol at room temperature have been measured in subpicosecond to picosecond time region. The time correlation function of the solvent relaxation expressed by the hole width was obtained. The main part of the correlation function decayed much slower compared with that of the reported correlation function observed in time dependent fluorescence Stokes shift. Some possible mechanisms are proposed for understanding of the time depencences of the spectral broadening under the condition with the distribution of the relaxation times in fluid solution based on the entropy term in the solvent orientation as well as the site dependent response of the solvent. [Pg.41]

The profound consequences of the microscopic formulation become manifest in nonequilibrium molecular dynamics and provide the mathematical structure to begin a theoretical analysis of nonequilibrium statistical mechanics. As discussed earlier, the equilibrium distribution function / q contains no explicit time dependence and can be generated by an underlying set of microscopic equations of motion. One can define the Gibbs entropy as the integral over the phase space of the quantity /gq In / q. Since Eq. [48] shows how functions must be integrated over phase space, the Gibbs entropy must be expressed as follows ... [Pg.308]

Summary of Equations of Balance for Open Systems Only the most general equations of mass, energy, and entropy balance appear in the preceding sections. In each case important applications require less general versions. The most common restrictedTcase is for steady flow processes, wherein the mass and thermodynamic properties of the fluid within the control volume are not time-dependent. A further simplification results when there is but one entrance and one exit to the control volume. In this event, m is the same for both streams, and the equations may be divided through by this rate to put them on the basis of a unit amount of fluid flowing through the control volume. Summarized in Table 4-3 are the basic equations of balance and their important restricted forms. [Pg.658]

Modem quantum-chemical methods can, in principle, provide all properties of molecular systems. The achievable accuracy for a desired property of a given molecule is limited only by the available computational resources. In practice, this leads to restrictions on the size of the system From a handful of atoms for highly correlated methods to a few hundred atoms for direct Hartree-Fock (HF), density-functional (DFT) or semiempirical methods. For these systems, one can usually afford the few evaluations of the energy and its first one or two derivatives needed for optimisation of the molecular geometry. However, neither the affordable system size nor, in particular, the affordable number of configurations is sufficient to evaluate statistical-mechanical properties of such systems with any level of confidence. This makes quantum chemistry a useful tool for every molecular property that is sufficiently determined (i) at vacuum boundary conditions and (ii) at zero Kelvin. However, all effects from finite temperature, interactions with a condensed-phase environment, time-dependence and entropy are not accounted for. [Pg.82]


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