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Graphs in chemical kinetics

Horn, E, On a connexion between stability and graphs in chemical kinetics. I, Stability and the reaction diagram n. Stability and the complex graph. Proc. Roy. Soc. A334,299 (1973). [Pg.74]

Horn, F. (1973b). On a connexion between stability and graphs in chemical kinetics,... [Pg.233]

Graph theory has found extensive application in chemical kinetics. It is this subject that is the goal of this chapter. [Pg.185]

Thus this simple example has illustrated the efficiency of graph methods in chemical kinetics. [Pg.190]

As has already been shown, graph theory methods were first used in chemical kinetics by King and Altman who applied them to linear enzyme mechanisms [1] to derive steady-state kinetic equations. Vol kenshtein and Gol dshtein in their studies during the 1960s [2 1] also elaborated a new formalism for the derivation of steady-state kinetic equations based on graph theory methods ("Mason s rule , etc.). [Pg.190]

Let us discriminate between the main problems in chemical kinetics solved using graph theory... [Pg.199]

It is this one-route mechanism of catalytic isomerization that was used above to illustrate the "operation of graph theory in chemical kinetics. For a graph of a one-route mechanism see Fig. 5(a). [Pg.208]

In Section 6 we have attempted to demonstrate the possible ways of using the various aspects of graph-theoretical classification and coding of the chemical reaction mechanisms in solving various problems in chemical kinetics, as well as in the development of computer simulation methods. [Pg.92]

A combination of the two relations AlO.l and A10.2, or composition of the two paths in the Formal Graph, provides a third operator of viscous inertia which appears as a velocity constant analogous to those constants met in chemical kinetics (see the next case study All Reactive Chemical Species ), or more generally in relaxation of dynamic processes... [Pg.84]

The subject of the equivalence of a conductive chain with a single condnctive dipole is of paramonnt importance in condnction theories and in chemical reactions modeling. In the Formal Graph theory, its fundamental importance comes from constitnting the basis for establishing from scratch the conductive relationship, allowing demonstration of many empirical or semiempirical conduction models such as the Arrhenius law in physical chemistry or transition state theories in chemical kinetics. [Pg.312]

Graph Theory in Chemical Kinetics and Chemical Engineering... [Pg.61]

In this example redox catalysis kinetics is governed partly by chemical reaction, i.e., the scission of C6H5S02CH3. For given concentrations of pyrene and sulphone at sweep rate v one can find values of k,k/k2 from published graphs in the case of EC processes. [Pg.1016]

A considerable improvement over purely graph-based approaches is the analysis of metabolic networks in terms of their stoichiometric matrix. Stoichiometric analysis has a long history in chemical and biochemical sciences [59 62], considerably pre-dating the recent interest in the topology of large-scale cellular networks. In particular, the stoichiometry of a metabolic network is often available, even when detailed information about kinetic parameters or rate equations is lacking. Exploiting the flux balance equation, stoichiometric analysis makes explicit use of the specific structural properties of metabolic networks and allows us to put constraints on the functional capabilities of metabolic networks [61,63 69]. [Pg.114]

There is no end to the variety of problems that can be found in the area of chemical kinetics. The few given here are fairly typical. To save space, actual plots are not given we refer to Figure 15-4 or 15-5 for the type of curve that would be obtained. In each case the data are converted to the form needed in the plots, so that you can graph them if you wish. Slopes and y intercepts of the best-fit lines have been obtained by the method of least squares (see p 72). [Pg.237]

Chapter 2 describes the evolution in fundamental concepts of chemical kinetics (in particular, that of heterogeneous catalysis) and the "prehis-tory of the problem, i.e. the period before the construction of the formal kinetics apparatus. Data are presented concerning the ideal adsorbed layer model and the Horiuti-Temkin theory of steady-state reactions. In what follows (Chapter 3), an apparatus for the modern formal kinetics is represented. This is based on the qualitative theory of differential equations, linear algebra and graphs theory. Closed and open systems are discussed separately (as a rule, only for isothermal cases). We will draw the reader s attention to the two results of considerable importance. [Pg.1]

This is a general fact. For monomolecular (or pseudo-monomolecular) reactions the graphs corresponding to compartments are acyclic. A similar property for the systems having either bi- or termolecular reactions is more complex. It can be formulated as follows. If every edge in the graph of predominant reaction directions for some compartment is ascribed to a positive "rate constant k and chemical kinetic equations are written with... [Pg.135]

Investigations with the graphs of non-linear mechanisms had been stimulated by an actual problem of chemical kinetics to examine a complex dynamic behaviour. This problem was formulated as follows for what mechanisms or, for a given mechanism, in what region of the parameters can a multiplicity of steady-states and self-oscillations of the reaction rates be observed Neither of the above formalisms (of both enzyme kinetics and the steady-state reaction theory) could answer this question. Hence it was necessary to construct a mainly new formalism using bipartite graphs. It was this formalism that was elaborated in the 1970s. [Pg.198]

Problem (4) is typical of non-linear mechanisms. The number of studies in this field is essentially lower since the application of graph theory in nonlinear chemical kinetics is new. Our further description will relate to these principal problems. [Pg.199]

Graph theory provided various fields of physical chemistry and chemical physics with a technique that has been extensively used in theoretical physics (the well-known Feynman diagram technique). It also appeared to be extremely effective in both chemical kinetics and chemical polymer physics. The major advantage of this technique is the extremely simple derivation of equations and the possibility of their direct physical interpretation. [Pg.256]

To interpret new experimental chemical kinetic data characterized by complex dynamic behaviour (hysteresis, self-oscillations) proved to be vitally important for the adoption of new general scientific ideas. The methods of the qualitative theory of differential equations and of graph theory permitted us to perform the analysis for the effect of mechanism structures on the kinetic peculiarities of catalytic reactions [6,10,11]. This tendency will be deepened. To our mind, fast progress is to be expected in studying distributed systems. Despite the complexity of the processes observed (wave and autowave), their interpretation is ensured by a new apparatus that is both effective and simple. [Pg.386]

The notion of thermodynamic tree (the graph, each point of which represents the set of thermodynamically equivalent states) was introduced by Gorban (1984) where he also revealed the possibilities of applying this notion for analysis of the chemical kinetics equations. In the work by Gorban et al. (2001, 2006) the authors consider the problems of employing thermodynamic tree to study the physicochemical systems using MEIS. [Pg.36]

Geometrical interpretations of MEISs. Kinetic and thermodynamic surfaces. Representation of kinetics in the space of thermodynamic variables. Thermodynamic tree. Graphs of chemical reactions, hydraulic flows, and electric currents. [Pg.70]

The second complexity level of chemical reaction mechanisms is the complexity level of the kinetic model corresponding to a given mechanism (or KG). Starting from the fact that ultimately the mechanism complexity will manifest itself in kinetics, it seems natural to look for a complexity index that reflects the graph complexity demonstrated in the kinetic model. Two kinds of kinetic models may be used for this purpose (a) fractional-rational equations of the rate of routes in stationary or quasistationary processes having linear mechanisms (b) systems of differential... [Pg.77]


See other pages where Graphs in chemical kinetics is mentioned: [Pg.185]    [Pg.185]    [Pg.104]    [Pg.192]    [Pg.198]    [Pg.256]    [Pg.15]    [Pg.252]    [Pg.2]    [Pg.192]    [Pg.252]    [Pg.2902]    [Pg.281]    [Pg.91]    [Pg.25]    [Pg.29]    [Pg.185]    [Pg.203]    [Pg.28]    [Pg.22]    [Pg.272]    [Pg.273]    [Pg.598]    [Pg.57]    [Pg.253]    [Pg.260]   


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