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Connections between the models

Simply to look at the literature is to convince yourself of the importance that density functional theory (DFT) methods have attained in molecular calculations. But there is among the molecular physics community, it seems to me, a widespread sense of unease about their undoubted successes. To many it seems quite indecent that such a cheap and cheerful approach (to employ Peter Atkins s wonderful phrase) should work at all, let alone often work very well indeed. I think that no-one in the com-mimity any longer seriously doubts the Hohenberg-Kohn theo-rem(s) and anxiety about this is not the source of the unease. As Roy reminded us at the last meeting, the N— representability problem is still imsolved. This remains true and, even though the problem seems to be circumvented in DFT, it is done so by making use of a model system. He pointed out that the connection between the model system and the actual system remains obscure and in practice DFT, however successful, still appears to contain empirical elements And I think that is the source of our present unease. [Pg.5]

Clearly, the MFI description does not capture all possible complicated mechanisms of ET activation in condensed phases. The general question that arises in this connection is whether we are able to formulate an extension of the mathematical MH framework that would (1) exactly derive from the system Hamiltonian, (2) comply with the fundamental linear constraint in Eq. [24], (3) give nonparabolic free energy surfaces and more flexibility to include nonlinear electronic or solvation effects, and (4) provide an unambiguous connection between the model parameters and spectroscopic observables. In the next section, we present the bilinear coupling model (Q model), which satisfies the above requirements and provides a generalization of the MH model. [Pg.168]

We have found that Stella is an effective tool to teach introductory kinetics and equilibrium concepts. Although it is true that all of this could be done in a spreadsheet or an equation solver, we believe that the presence of the Diagram window provides a strong visual connection between the model that is built and the mathematics behind the model. This example illustrates a realistic simulation of a real chemical phenomenon, of the sort recommended by Atkins. ... [Pg.184]

Figure 1 Connection Between the Models of the Solid Phase Momentum Balance... Figure 1 Connection Between the Models of the Solid Phase Momentum Balance...
This ensures the correct connection between the one-dimensional Kramers model in the regime of large friction and multidimensional imimolecular rate theory in that of low friction, where Kramers model is known to be incorrect as it is restricted to the energy diflfiision limit. For low damping, equation (A3.6.29) reduces to the Lindemann-Flinshelwood expression, while in the case of very large damping, it attains the Smoluchowski limit... [Pg.849]

To make connection between the spectra and tire ET process clearer, we note a simple model for tire lineshape that includes a classical and a high-frequency degree of freedom. In tliis case tire overall lineshape is... [Pg.2985]

The biradical model suggests a connection between the single coordinate model, emphasizing reactions on a single energy surface, and the two-coordinate model, in which the coupling between states is important. [Pg.389]

The present paper is organized as follows In a first step, the derivation of QCMD and related models is reviewed in the framework of the semiclassical approach, 2. This approach, however, does not reveal the close connection between the QCMD and BO models. For establishing this connection, the BO model is shown to be the adiabatic limit of both, QD and QCMD, 3. Since the BO model is well-known to fail at energy level crossings, we have to discuss the influence of such crossings on QCMD-like models, too. This is done by the means of a relatively simple test system for a specific type of such a crossing where non-adiabatic excitations take place, 4. Here, all models so far discussed fail. Finally, we suggest a modification of the QCMD system to overcome this failure. [Pg.381]

We refer to this equation as to the time-dependent Bom-Oppenheimer (BO) model of adiabatic motion. Notice that Assumption (A) does not exclude energy level crossings along the limit solution q o- Using a density matrix formulation of QCMD and the technique of weak convergence one can prove the following theorem about the connection between the QCMD and the BO model ... [Pg.387]

The modeling of biomolecules is a very broad and sophisticated field. The description given in this chapter is only meant to provide the connections between the topics in this book and this field. Before embarking on a computational biochemical study, it is recommended that the researcher investigate the literature pertaining to this field more closely. The references provided below should provide a good starting point for such a survey. [Pg.298]

In this thesis we suggest a model of the formation of elements, which allows us to make the connection between the spread of elements and their nuclear char ge. We ve got a function of distribution for the state close to the final period of active formation of elements and for the state, corresponding to the period of forming of condensed bodies [2, 3]. [Pg.448]

The need for a causal model to guide data collection is emphasized. This makes the connection between the nature of the error and the PIFs in the situation. [Pg.248]

This connection between the correlation time of perturbation and that of response is a very general result independent of a model of molecular motion. It is valid not only when a molecule is perturbed by a sequence of instantaneous collisions (as in a gas), but also when it is subjected to perturbations that are continuous in time (caused by the nearest... [Pg.65]

In physical chemistry the most important application of the probability arguments developed above is in the area of statistical mechanics, and in particular, in statistical thermodynamics. This subject supplies the basic connection between a microscopic model of a system and its macroscopic description. The latter point of view is of course based on the results of experimental measurements (necessarily carried out in each experiment on a very large number of particle ) which provide the basis of classical thermodynamics. With the aid of a simple example, an effort now be made to establish a connection between the microscopic and macroscopic points of view. [Pg.342]

McMahon Actually, I think it is even worse than that. The connection between the Hox genes and what is going on in those primordia in any sense is unknown. I can t understand why this is the case the model, formulated by Denis Dubole, has been out there for some time. It is a persuasive model, but we don t even know whether the Hox genes are actually expressed within the cartilage cells and have cell autonomous effects, or whether they are outside the cartilage. [Pg.250]

Figure 7.2 (a) Schematic representation of the structure of B. subtilis ferrochelatase. Domain I is coloured green and domain II blue. The parts of the chain in red build up the walls of the cleft, and the region in yellow makes the connection between the domains. The N- and C-termini are marked, (b) The proposed active site of ferrochelatase with protoporphyrin IX molecule (red) modelled into the site. The backbone atoms of the protein are in purple, the side-chains in blue. Reprinted from Al-Karadaghi et ah, 1997. Copyright (1997), with permission from Elsevier Science. [Pg.40]

Hence, in order to establish a connection between the FeS2—m, hep A2 model and the structural facts for class A, the T atoms would have to take an almost non-constrained shape. This takes us so far away from the plain hep A 2 model that it seems artificial to pursue the line any further attempts to modify this model with respect to the shape and size of A2 lead to a similar conclusion. [Pg.98]

This assumption is implicitly present not only in the traditional theory of the free-radical copolymerization [41,43,44], but in its subsequent extensions based on more complicated models than the ideal one. The best known are two types of such models. To the first of them the models belong wherein the reactivity of the active center of a macroradical is controlled not only by the type of its ultimate unit but also by the types of penultimate [45] and even penpenultimate [46] monomeric units. The kinetic models of the second type describe systems in which the formation of complexes occurs between the components of a reaction system that results in the alteration of their reactivity [47-50]. Essentially, all the refinements of the theory of radical copolymerization connected with the models mentioned above are used to reduce exclusively to a more sophisticated account of the kinetics and mechanism of a macroradical propagation, leaving out of consideration accompanying physical factors. The most important among them is the phenomenon of preferential sorption of monomers to the active center of a growing polymer chain. A quantitative theory taking into consideration this physical factor was advanced in paper [51]. [Pg.170]


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Connectivity modeling

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