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Energy-space diffusion

The upper bound of the escape probability, corresponding to t oo, can also be analytically calculated. In this limit, the electron is allowed to make many revolutions in the same orbit around the cation before it is scattered into another orbit. Under this condition, the electron motion may be described as diffusion in energy space [23]. The escape probability calculated by using the energy diffusion model is also included in Fig. 3. We see that the simulation results for finite x properly approach the energy diffusion limit. [Pg.271]

The energy diffusion coefficient D(E) is related to the friction P(E) in energy space by... [Pg.407]

Vibrational relaxation and excitation and usually the rate-limiting processes for molecular reaction in the gas phase, and their importance has led to many theoretical approaches. The use of an FPE such as described in Section II leads to a diffusion model in energy space, and only applies if the collision kernel P(E, E ) of the master equation is strongly peaked about the initial energy E. This is the weak collision limit in which the energy transfer is small, or comparable to kT. Other approaches, such as the model of Bhatnager, Gross and Krook propose that impulsive collisions randomize... [Pg.418]

This loss of information in the projection of the random walk in configuration space has important consequences for the random walk in energy space. Most strikingly, the local diffusivity of a random walker in energy space, which for a diffusion time to can be defined as... [Pg.601]

Fig. 1. Local diffusivity D E,tD) = E t) — E(t + tD)) )/tD of a random walk sampling a flat histogram in energy space for the two-dimensional ferromagnetic Ising model. The local diffusivity strongly depends on the energy with a strong suppression below the critical energy Ec — lAl N... Fig. 1. Local diffusivity D E,tD) = E t) — E(t + tD)) )/tD of a random walk sampling a flat histogram in energy space for the two-dimensional ferromagnetic Ising model. The local diffusivity strongly depends on the energy with a strong suppression below the critical energy Ec — lAl N...
Fig. 5. Optimized temperature sets for the two-dimensional Ising ferromagnet. The initial temperature set with 20 temperature points is determined by a geometric progression for the temperature interval [0.1,10]. After feedback of the local diffusivity the temperature points accumulate near the critical temperature Tc = 2.269 of the phase transition dashed line). Similar to the ensemble optimization in energy space the feedback of the local diffusivity relocates resources towards the bottleneck of the simulation... Fig. 5. Optimized temperature sets for the two-dimensional Ising ferromagnet. The initial temperature set with 20 temperature points is determined by a geometric progression for the temperature interval [0.1,10]. After feedback of the local diffusivity the temperature points accumulate near the critical temperature Tc = 2.269 of the phase transition dashed line). Similar to the ensemble optimization in energy space the feedback of the local diffusivity relocates resources towards the bottleneck of the simulation...
From this data, an exponent value of n = -2.9 1.2 is obtained. A singlecollision model for neutral-assisted three-body recombination based on the work of Thompson [36] suggests a temperature behaviour of T . A later modification of this theory by Bates [40] also predicts this numerical dependence, as does the diffusion of electron energy in energy space model of Pitaevskii [39]. Within the experimental uncertainty, excellent agreement between experiment and theory is obtained. [Pg.123]

We have just introduced the diffusion coefficient Dvx of excited molecules in vibrational energy space ... [Pg.115]

The diffusion coefficient Dvv of excited molecules in the vibrational energy space, related to the non-resonant W exchange of a molecule of energy E with the bulk of low vibrational energy molecules is given by... [Pg.116]

Only losses due to VT- and W-relaxation processes are taken into account here. Consider first those losses related to VT relaxation. Assiuning the VT diffusion coefficient in energy space is given as... [Pg.131]

The production step generates the equilibrium phase-space trajectory from which some properties can he evaluated. During the simulation, some representative thermodynamic properties, such as site potentials, kinetic energies, displacements, diffusion coefficients, and momenta, are averaged every 40 timesteps (and written to an output file for post analysis). In addition, when thought necessary, the positions and velocities of all atoms may be recorded every timestep, or every so many (e.g., 50) timesteps, for later extraction of dynamic structural information. [Pg.233]

The equilibrium space-energy-dependent diffusion equation can be written in the form... [Pg.130]


See other pages where Energy-space diffusion is mentioned: [Pg.111]    [Pg.281]    [Pg.282]    [Pg.13]    [Pg.188]    [Pg.16]    [Pg.682]    [Pg.212]    [Pg.50]    [Pg.16]    [Pg.191]    [Pg.128]    [Pg.134]    [Pg.601]    [Pg.366]    [Pg.481]    [Pg.60]    [Pg.62]    [Pg.62]    [Pg.646]    [Pg.30]    [Pg.101]    [Pg.101]    [Pg.115]    [Pg.115]    [Pg.129]    [Pg.48]    [Pg.157]    [Pg.348]    [Pg.278]    [Pg.16]    [Pg.26]    [Pg.173]    [Pg.360]   
See also in sourсe #XX -- [ Pg.271 , Pg.277 ]




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Diffusion energy

Energy space

Space diffusion

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