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Catalysis modeling

A C++ include file is a primitive form of package. Header files or groups of them can implement requirements expressed by a Catalysis model package. ANSI C++ has the namespace construct, which provides somewhat better packaging facilities. [Pg.342]

Catalysis models have clear semantic relationships to one another. At any level of abstraction, they form an important part of the inspection criteria for those models. Across levels of refinement, these rules, together with the rules for refinement, provide a concrete basis for design reviews. [Pg.537]

Using frameworks to define the meaning of the very modeling constructs themselves— and even to define and encapsulate known inference rules—is very similar to the approach in Larch [Guttag90], Their application to Catalysis modeling constructs, UML stereotype-based extension, and new modeling constructs and notations is described in [D Souza97a],... [Pg.728]

Growth of oscillations for heterogeneous catalysis model with poisoning A = amplitude, Tp = period... [Pg.324]

The specific models we will analyse in this section are an isothermal autocatalytic scheme due to Hudson and Rossler (1984), a non-isothermal CSTR in which two exothermic reactions are taking place, and, briefly, an extension of the model of chapter 2, in which autocatalysis and temperature effects contribute together. In the first of these, chaotic behaviour has been designed in much the same way that oscillations were obtained from multiplicity with the heterogeneous catalysis model of 12.5.2. In the second, the analysis is firmly based on the critical Floquet multiplier as described above, and complex periodic and aperiodic responses are observed about a unique (and unstable) stationary state. The third scheme has coexisting multiple stationary states and higher-order periodicities. [Pg.360]

V. Botti, S. Valero, Application of artificial neural networks to combinatorial catalysis modeling and predicting ODHE catalysts, CHEMPHYSCHEM, 3 (2002), 939-945. [Pg.128]

Michaelis-Menten The Michaelis-Menten model uses the following concept of enzyme catalysis model, , ... [Pg.84]

To obtain more insight into the nature of the phosphate catalysis model studies were carried out using glycine and a number of... [Pg.185]

Figure 4 Direct and indirect models of metal ion activation of ribozyme catalysis. Model of classes of metal sites that influence ribozyme activity. The scheme on top depicts the binding of a metal ion important for ribozyme folding that binds distant from the active site but promotes a structural transition that permits catalysis or the binding of catalytic metal ions. Such binding interactions may result directly in overall folding or may merely foster small stmctural changes near the active site that are critical to ribozyme chemistry. The scheme below depicts the direct activation of ribozyme activity by binding of metal ions that interact with the reactive phosphate and are involved in metal ion catalysis. Adapted from Reference 38. Figure 4 Direct and indirect models of metal ion activation of ribozyme catalysis. Model of classes of metal sites that influence ribozyme activity. The scheme on top depicts the binding of a metal ion important for ribozyme folding that binds distant from the active site but promotes a structural transition that permits catalysis or the binding of catalytic metal ions. Such binding interactions may result directly in overall folding or may merely foster small stmctural changes near the active site that are critical to ribozyme chemistry. The scheme below depicts the direct activation of ribozyme activity by binding of metal ions that interact with the reactive phosphate and are involved in metal ion catalysis. Adapted from Reference 38.
The kinetic data from phosphine dissociation studies and reaction with ethyl vinyl ether fit the classical dissociative exchange catalysis model very well [101]. Examination of this model leads to the conclusion that there are two main factors controlling the activity of these catalysts the rate of phosphine dissociation and the metathesis activity of the phosphine-dissociated species (Scheme 6.26). [Pg.217]

Matrix metalloproteinases Require zinc for catalysis Model extracellular matrix components regulated by TIMPs (tissue inhibitors of matrix metalloproteinases)... [Pg.692]

Meakin [6] considered the simplest catalysis scheme, which was used later for the estimation of catalyst selectivity S. It demonstrates general features, inherent to all catalysis models, and is expressed by a simple reaction scheme, which can be written as follows [4] ... [Pg.302]

Nid has square planar coordination involving two bridging cysteine thiolates and two main chain N atoms (Fig. 4A). A similar structure has been described recently for the active site of nickel superoxide dismutase (NiSOD) [117,118] (Fig. 4B). In NiSOD, Ni(II) reacts with superoxide and is oxidized to Ni(III)-peroxide. On the other hand, ACS functions in reducing environments and Nij is thought to remain as Ni(II) throughout catalysis. Model chemistry supports this proposal indicating that Nip is much more... [Pg.69]

Gokcen D, Bae S-E, Gokcen D, Liu P, Mohammadi P, Brankovic SR (2012) Size effects in monolayer catalysis - model smdy Pt submonolayers on Au (111). Electrocatal. doi 10.1007/sl2678-012-0082-5... [Pg.430]

Rapid equilibrium conditions need not be assumed for the derivation of an enzyme catalysis model. A steady-state approximation can also be used to obtain the rate equation for an enzyme-catalyzed reaction. [Pg.49]

Hydrogen Bonding in Mechanism of Catalysis. Models of Ni(Fe) ARD Dioxygenases.80... [Pg.73]

ROLE OF SUPRAMOLECULAR NANOSTRUCTURES FORMATION DUE TO HYDROGEN BONDING IN MECHANISM OF CATALYSIS. MODELS OF NI(FE)ARD DIOXYGENASES... [Pg.80]

Fig. 25 Dirhodium complex catalysis model derived from computational studies... Fig. 25 Dirhodium complex catalysis model derived from computational studies...

See other pages where Catalysis modeling is mentioned: [Pg.218]    [Pg.311]    [Pg.87]    [Pg.89]    [Pg.669]    [Pg.4006]    [Pg.1679]    [Pg.669]    [Pg.339]    [Pg.712]    [Pg.600]    [Pg.24]    [Pg.4005]    [Pg.6814]    [Pg.372]    [Pg.212]    [Pg.566]    [Pg.48]    [Pg.49]    [Pg.51]    [Pg.253]   
See also in sourсe #XX -- [ Pg.348 ]




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Catalysis by micelles, membranes and other aqueous aggregates as models of enzyme action

Catalysis enzyme models

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Dehydrogenase catalysis models

Enzyme action, catalysis by micelles, membranes and other aqueous aggregates models

Enzyme action, catalysis of micelles, membranes and other aqueous aggregates as models

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Extension to Complex Rate Models Homogeneous Catalysis

From Real Catalysis to Appropriate Model Systems

General Acid-Base Catalysis in Model Systems

Heterogeneous catalysis cluster modeling

Heterogeneous catalysis isothermal model

Heterogeneous catalysis kinetic model

Heterogeneous catalysis models

Heterogeneous catalysis organometallic cluster models

Heterogeneous catalysis reconstruction model

Homogeneous catalysis complex rate models)

Micellar catalysis - kinetic models

Micelles, membranes and other aqueous aggregates, catalysis by, as models

Micelles, membranes and other aqueous aggregates, catalysis by, as models enzyme action

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Model catalysts catalysis investigation

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Models catalysis

Models catalysis

Models for micellar catalysis

Molecular Models for Enzyme Catalysis

Multifunctional Catalysis and Simple Models

Peptide model complexes, catalysis

Phosphate catalysis models

Predictive Modeling in Heterogeneous Catalysis

Zeolite catalysis structural models

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