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Random path

In the simple sampling procedure of generating chain conformations all successfully generated walks have equal probabihty. Walks are grown purely stochastically. Each time an attempted new bond hits a site which is already occupied, one has to start at the very beginning. Otherwise different conformations would have different probabihties and this would introduce an effective attraction among the monomers [54]. With this method, each conformation is taken randomly out of the q q — 1) possible random paths which do not include direct back-folding. However, the total number of SAW on a lattice is known [26] to be ... [Pg.559]

But a computer simulation is more than a few clever data structures. We need algorithms to manipulate our system. In some way, we have to invent ways to let the big computer in our hands do things with the model that is useful for our needs. There are a number of ways for such a time evolution of the system the most prominent is the Monte Carlo procedure that follows an appropriate random path through configuration space in order to investigate equilibrium properties. Then there is molecular dynamics, which follows classical mechanical trajectories. There is a variety of dissipative dynamical methods, such as Brownian dynamics. All these techniques operate on the fundamental degrees of freedom of what we define to be our model. This is the common feature of computer simulations as opposed to other numerical approaches. [Pg.749]

The random path of molecules taken in a packed bed (called Random Path Term). [Pg.407]

Here, A is the random path, B the longitudinal molecular diffusion and C the RTMT contributions with the velocity of the mobile phase u shown separately. H is referred to as the Height Equivalent to a Theoretical Plate and is terminology borrowed from distillation. While the distillation HETP is not truly applicable, the terminology has persisted. It can be shown that the H in this expression is the equivalent to variance/unit length. This is the expression introduced by Van Deemter and co-workers in 1956 in a discussion of band broadening. [Pg.410]

Turbulent Flow A condition where the fluid mass moves in random paths rather than in continuous parallel paths. [Pg.356]

Figure 7.2 A random path between two rectangles of the color Mondrian. The graph on the right shows the intensity of the red channel along this path. Figure 7.2 A random path between two rectangles of the color Mondrian. The graph on the right shows the intensity of the red channel along this path.
The remaining question is how to select this reference patch. One method would be to compute the sequential products of the ratios for randomly selected points of the input image. Next, the patch with the highest sequential product is chosen. This patch becomes the reference patch from which all random paths start. Land and McCann reject this possibility on the grounds that this solution is biologically not plausible. They settled on a method that does not require a scanning step that selects the area of highest reflectance. [Pg.147]

All values smaller than 0 are left unchanged. All others are set to zero. Let us now compute the relative reflectances along a random path from a point x to a random point x. Let... [Pg.149]

Even relatively weak attraction between droplets or solid particles in aerosols suffices to create an enhanced collision rate that can change particle-size distributions and overall stability. Think in kT thermal-energy units. Alone, small suspended bodies do a Brownian bop, randomly jiggling from the kT kicks of the air. Should their mutually random paths bring two particles to separations comparable with their size, their van der Waals attraction energy also approaches kT. To previous randomness, attraction adds strength of purpose and increased chance of collision, aggregation, or fusion.59... [Pg.34]

Unfortunately, for the investigation of random walk statistics in the regular 3D lattice of obstacles the approach based on the idea of conformal transformations cannot be applied. Nevertheless, due to the analogy established in the 2D-case it is naturally to suppose that between random paths statistics in the 3D lattice of uncrossable strings and the free random walk in Lobachevsky space the similar analogy remains. Let us present below some arguments confirming that idea. [Pg.12]

Meteoroids are small bits and pieces of rock left over from the original material that formed the solar system. As they follow random paths through the solar system, some wander close to Earth and enter its atmosphere. Hundreds of meteoroids enter the atmosphere every day, but most are very tiny and do not survive the journey. Only the largest fragments reach the Earth s surface. [Pg.49]

Local motions which occur in macromolecular systems can be probed from the diffusion process of small molecules in concentrated polymeric solutions. The translational diffusion is detected from NMR over a time scale which may vary from about 1 to 100 ms. Such a time interval corresponds to a very large number of elementary collisions and a long random path consequently, details about mechanisms of molecular jump are not disclosed from this NMR approach. However, the dynamical behaviour of small solvent molecules, immersed in a polymer melt and observed over a long time interval, permits the determination of characteristic parameters of the diffusion process. Applying the Langevin s equation, the self-diffusion coefficient Ds is defined as... [Pg.31]

Figure 19. Correlation functions for fitness by folding. Correlation functions for linearized forms of folding fitness functions of type 1 [Eqn. (IV.6), upper curve] and type 2 [Eqn. (IV.7), lower curve] are displayed. Both are normalized by value at local optimum at distance 0. Seventy-two random paths radiating outward 24 shells and starting with distinct first mutants employed. Same paths and reference fold employed in both cases. Figure 19. Correlation functions for fitness by folding. Correlation functions for linearized forms of folding fitness functions of type 1 [Eqn. (IV.6), upper curve] and type 2 [Eqn. (IV.7), lower curve] are displayed. Both are normalized by value at local optimum at distance 0. Seventy-two random paths radiating outward 24 shells and starting with distinct first mutants employed. Same paths and reference fold employed in both cases.
Diffusion, or falling rate period—is the stage where the rate at which the liquid leaves the solid decreases. The liquid which is trapped inside the particles diffuses to the outside surface of the particle through capillary action. The random path which the liquid must take slows down the drying process at this stage. (See Fig. 9 for typical graph.)... [Pg.738]

This observation was supported from changes in M observed during hydrolyses (19) with subsequent analysis of the 3ata on a statistical model of a trifunctionally branched polymer. It was observed that the dispersity as a function of hydrolysis time, for given temperature and pH, exhibits a maximum. No maximum was observed for dextran hydrolyses, which is reported to follow a random path. [Pg.109]


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See also in sourсe #XX -- [ Pg.149 ]




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