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Thermal bath system dynamics

This equation has been used by Sundstrom and coworkers [151] and adapted to the analysis of femtosecond spectral evolution as monitored by the bond-twisting events in barrierless isomerization in solution. The theoretical derivation of Aberg et al. establishes a link between the Smoluchowski equation with a sink and the Schrodinger equation of a solute coupled to a thermal bath. The reader is referred to this important work for further theoretical details and a thorough description of the experimental set up. It is sufficient to say here that the classical link is established via the Hamilton-Jacobi equation formalism. By using the standard ansatz Xn(X,t)= A(X,i)cxp(S(X,t)/i1l), where S(X,t) is the action of the dynamical system, and neglecting terms in once this... [Pg.312]

The system is assumed to be in contact with a thermal bath at temperature T. We also assume that the microscopic dynamics of the system is of the Markovian type the probability that the system has a given configuration at a given time only depends on its previous configuration. We then introduce the transition probability Wt(C C ). This denotes the probability for the system to change from C to C at time step k. According to the Bayes formula,... [Pg.43]

We first consider the AN regime of a two-level system coupled to a thermal bath. We will use off-resonant dynamic modulations, resulting in AC-Stark shifts (Figure 4.5(a)). The Hamiltonians then assume the following form ... [Pg.162]

The two-dimensional system described above is the simplest source of information on reorientation dynamics. We are interested in the behavior of the system when it is excited out of the equUibrium state. The 313 disk molecules are our thermal bath described by a temperature T and by the properties shown in the equihbrium MD runs. The variable of interest to be excited is the angular velocity dynamical behavior of [Pg.269]

The set of dynamical variables of interest is enlarged via inclusion of a few additional variables (usually termed auxiliary or virtual). This serves the twofold purpose of providing a simplified picture of the real thermal bath and recovering a distinct time-scale separation between relevant and irrelevant parts. In other words, the system of interest plus the set of virtual variables behaves like a mesoscopic system—a system with a time scale intermediate between the microscopic and the macroscopic. The first well-known example at the mesoscopic level is the Brownian particle of Einstein theory. ... [Pg.286]

Figure 8. An intuitive representation of the multiplicative stochastic process under study. The arrow indicates that energy flows continuously from left to right. Energy flows only from Si into S witout admitting any reverse process as the dynamics of f is assumed to be completely independent of the dynamics of S. Then the system 5 tries to dissipate this energy into the thermal bath 5. The whole situation is interpreted as a flow of energy from a hot to a cold heat bath, i.e., T, > Tj, where Ti and Tj are the temperature of Si and Si, respectively. Figure 8. An intuitive representation of the multiplicative stochastic process under study. The arrow indicates that energy flows continuously from left to right. Energy flows only from Si into S witout admitting any reverse process as the dynamics of f is assumed to be completely independent of the dynamics of S. Then the system 5 tries to dissipate this energy into the thermal bath 5. The whole situation is interpreted as a flow of energy from a hot to a cold heat bath, i.e., T, > Tj, where Ti and Tj are the temperature of Si and Si, respectively.
The fact that the lineshape (18.49) is Lorentzian is a direct consequence of the fact that our starting point, the Redfield equations (10.174) correspond to the limit were the thermal bath is fast relative to the system dynamics. A similar result was obtained in this limit from the stochastic approach that uses Eq. (10.171) as a starting point for the classical treatment of Section 7.5.4. In the latter case we were also able to consider the opposite limit of slow bath that was shown to yield, in the model considered, a Gaussian lineshape. [Pg.668]

In principle, the theory of nonlinear spectroscopy with femtosecond laser pulses is well developed. A comprehensive and up-to-date exposition of nonlinear optical spectroscopy in the femtosecond time domain is provided by the monograph of Mukamel. ° For additional reviews, see Refs. 7 and 11-14. While many theoretical papers have dealt with the analysis or prediction of femtosecond time-resolved spectra, very few of these studies have explicitly addressed the dynamics associated with conical intersections. In the majority of theoretical studies, the description of the chemical dynamics is based on rather simple models of the system that couples to the laser fields, usually a few-level system or a set of harmonic oscillators. In the case of condensed-phase spectroscopy, dissipation is additionally introduced by coupling the system to a thermal bath, either at a phenomenological level or in a more microscopic maimer via reduced density-matrix theory. [Pg.741]

For the canonical dynamics simulation, the temperature (T) is held constant by coupling to a thermal bath. Nose (61) and Hoover (62) suggested different methods of thermal coupling for canonical dynamics. Canonical dynamics using Hoover s heat bath gives the trajectory of particles in real time, while the molecular dynamics based on Nose s bath does not give the trajectory of particles in real time due to its time scaling method. Therefore, for a real-time evaluation of the system, Hoover s heat bath should be used for the canonical MD. [Pg.66]

The key quantity in quantum dissipative dynamics is the reduced system density operator, ps(t) = trBPT(0> Ihe bath-subspace trace over the total composite density operator. It is worth mentioning here that the harmonic bath described above assumes rather Gaussian statistics for thermal bath influence. Realistic anharmonic environments usually do obey Gaussian statistics in the thermodynamic mean field limit. For general treatment of nonperturbative and non-Markovian quantum dissipation systems, HEOM formalism has now emerged as a standard theory. It is discussed in the next section. [Pg.341]

The ENCAD (energy calculations and dynamics) force field has been developed by Levitt et al. for the molecular dynamics simulations of proteins and nucleic acids in solution. It employs all-atom force field parameters. For condensed phase simulations the new three-center, flexible water model has been developed. The stress has been laid on the energy conservation effect during molecular dynamics simulations without coupling simulated systems to the thermal bath. The following expression has been used to calculate potential energy of the molecular systems ... [Pg.1927]


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See also in sourсe #XX -- [ Pg.136 ]




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