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Statistical distributions continuous

Raising Pevoi plays the role of skewing the database composition toward stronger binders (Fig. 14.1b). In the limit of pevoi 0, the lattice database will consist of randomly selected ligands. It is assumed that a sufficient number of ligands have been added and the evolution process is continued long enough until equilibrium is reached. By this, it is meant that the statistical distributions of contacts in this database are not altered by the inclusion of additional complexes. [Pg.330]

To account for the effect of a sufficiently broad, statistical distribution of heterogeneities on the overall transport, we can consider a probabilistic approach that will generate a probability density function in space (5) and time (t), /(i, t), describing key features of the transport. The effects of multiscale heterogeneities on contaminant transport patterns are significant, and consideration only of the mean transport behavior, such as the spatial moments of the concentration distribution, is not sufficient. The continuous time random walk (CTRW) approach is a physically based method that has been advanced recently as an effective means to quantify contaminant transport. The interested reader is referred to a detailed review of this approach (Berkowitz et al. 2006). [Pg.226]

The Peclet number compares the effect of imposed shear (known as the convective effect) with the effect of diffusion of the particles. The imposed shear has the effect of altering the local distribution of the particles, whereas the diffusion (or Brownian motion) of the particles tries to restore the equilibrium structure. In a quiescent colloidal dispersion the particles move continuously in a random manner due to Brownian motion. The thermal motion establishes an equilibrium statistical distribution that depends on the volume fraction and interparticle potentials. Using the Einstein-Smoluchowski relation for the time scale of the motion, with the Stokes-Einstein equation for the diffusion coefficient, one can write the time taken for a particle to diffuse a distance equal to its radius R, as... [Pg.176]

To account for the presumably statistical distribution of Ni and Sn atoms in the 2(c) and 3(g) sites in this crystal structure, the initial distribution of atoms in the unit cell has been assumed as listed in Table 7.2. The initial profile and structural parameters are found in the input file for LHPM-Rietica on the CD, the file name is Ch7Ex01a.inp. Experimental diffraction data, collected on a Rigaku TTRAX rotating anode powder diffractometer using Cu Ka radiation in a continuous scan mode, are located on the CD in the file Ch7Ex01 CuKa.dat. [Pg.610]

Previous explanations of the impact modification effect and its phase transition like the brittle-to-tough transition have assumed a basically statistical distribution of the dispersed rubber phase in the continuous polymer matrix [139], From there the critical interparticle distance model originated [139b], which is essentially a percolation-type theoretical interpretation. Experimental results like those reported by Bucknall [139a], but also many crack surfaces published in the literature, show that more rubber phase is present in the visible area of the crack surface than would be expected from a statistical distribution, SEM evaluations are consistent with our findings of a non-statistical distribution, but a phase separation of the dispersed material into some kind of layer. [Pg.626]

In contrast to the effective harmonic prescription for centroid-based dynamics, in CMD the force is a unique function of the system. That is, the force on a centroid trajectory at some time and position in space is not different from the force experienced by a different centroid trajectory at that same point in space but at a different time. Furthermore, the centroid trajectories are derived from the same effective potential as the one giving the exact centroid statistical distribution so that a centroid ergodic theorem will hold. The CMD approach satisfies this condition, while the analytically continued optimized LHO theory may not. Finally, CMD recovers the exact limiting expressions for globally harmonic potentials and for general classical systems. [Pg.169]

However, as in this section the evolution of phase separation in the metastable region will be analyzed, conditions will be such that a fractionation of the oligomer species between the continuous and dispersed phases will be produced. Therefore the available statistical distributions are of no value and it is necessary to calculate the evolution of the oligomer distributions in both phases using the kinetic equations describing the polycondensation. [Pg.130]

Without a thermal radiation field in the resonantly tuned cavity, the populations N n,T) and N(n — I, T) of the Rydberg levels should be a periodic function of the transit time T = djv, with a period Tr that corresponds to the Rabi oscillation period. The incoherent thermal radiation field causes induced emission and absorption with statistically distributed phases. This leads to a damping of the Rabi oscillation (Fig. 9.75b). This effect can be proved experimentally if the atoms pass a velocity selector before they enter the resonator, which allows a continuous variation of the velocity and therefore of the transit time T = d/v. n Fig. 9.76 the schematic drawing of the experimental setup with microwave resonator, atom source and detector is shown. [Pg.556]

Because corrosion phenomena are complex, deterministic models evolve continually as restrictive hypotheses are eased when additional, empirical knowledge is acquired. In essence, it is the scientific method that nudges a model to reality. Hybrid deterministic models have been developed in fracture and fatigue where a particular property or parameter is considered to be statistically distributed. This statistical distribution is carefully chosen for implementation to selected parameters in the deterministic model (a true deterministic model retains its probabilistic aspect as a placeholder until the statistical scatter can be replaced with true mechanistic understanding). [Pg.90]


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Continuous distributions

Distribution statistics

Statistical distributions

Statistics continuous

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