Scheme 23 Model reactions for the computational study of intermolecular (a) and intramolecular (b) reaction between ketenimines and imines |

Scheme 2 Reaction of perrhenate attached to silsesquioxane cube (a computational model for the silica surface) with SnMe4 is predicted to liberate MeReOs. |

Computer-Aided Modeling of Reactive Systems Reaction schemes may be summarized as equation sets of the form [Pg.4]

Once the model has been constructed, the reaction pathway can be investigated. Reaction schemes are usually constructed using information available from experiment, such as the spectroscopic properties of trapped key intermediates, or comparisons with established pathways for similar reactions. The proposed reaction pathways can then be explored by calculating energy minima for reactants, intermediates, and products (see reference (21) for an overview of available computational techniques). [Pg.305]

More complicated reactions schemes, including first-order reversible consecutive processes and competitive consecutive reactions, are considered in a textbook by Irwin [89]. Professor Irwin s textbook also includes computer programs written in the BASIC language. These programs can be used to fit data to the models described. [Pg.157]

The proposed IR assignments were supported by calculation of v(Zr-H) frequencies of computational models for the species involved in the reactions of Scheme 3.1 [16, 17] based on a polyhedral oligomeric silsesquioxane (POSS) [Pg.77]

The rate constants (together with the model and initial concentrations) define the matrix C of concentration profiles. Earlier, we have shown how C can be computed for simple reactions schemes. For any particular matrix C we can calculate the best set of molar absorptivities A. Note that, during the fitting, this will not be the correct, final version of A, as it is only based on an intermediate matrix C, which itself is based on an intermediate set of rate constants (k). Note also that the calculation of A is a linear least-squares estimate its calculation is explicit, i.e., noniterative. [Pg.229]

Another aspect of a very different nature also merits attention. For complex reaction schemes, it can be very cumbersome to write the appropriate set of differential equations and their translation into computer code. As an example, consider the task of coding the set of differential equations for the Belousov-Zhabotinsky reaction (see Section 7.5.2.4). It is too easy to make mistakes and, more importantly, those mistakes can be difficult to detect. For any user-friendly software, it is imperative to have an automatic equation parser that compiles the conventionally written kinetic model into the correct computer code of the appropriate language [37-39], [Pg.256]

Gennari et al. developed a computational model to reproduce the experimental syn/anti setereoselectivity for the aldol reactions of Z and E enol borinates of butanone with acetaldehyde.13 For the reaction of Z-enol borinate 8Z, the chair transition state TS Z-chair A dominates over other three-transition states (Scheme 2.XI). When a Boltzmann distribution was calculated for the competing transition structures, a complete syn/anti selectivity of 99 1 was predicted. The aldol reaction of E-enol borinate 8E with acetaldehyde is, however, calculated to have four transition structures of similar energy (Scheme 2.XII). Although [Pg.54]

The reasoning process may be modeled by a computer algorithm (see Section 2.6.2.1). In order to propose catalyst components for a given reaction on a more fundamental basis, reaction steps have to be identified which lead to the desired products or which should be avoided because they are not selective or because they result in deactivation of the catalyst. These reaction steps ought to be elementary reactions steps however, in the case that such elementary reaction steps are not known, simplified reaction schemes may be useful, too. [Pg.265]

The ACTMs results depend on the initial conditions and inflow of background concentrations into the computational domain. For meso and local scale AQ simulations, these conditions are usually defined from larger scale forecast results by an interface module that has to match grid and resolution differences and possibly the different chemical reactions schemes employed in the models considered. [Pg.100]

An alternative approach (78,79) is based on a set of possible reaction schemes that are used to generate potential new pathways. Under both approaches, the problem, in part, is how to evaluate the utiUty of a particular scheme. A computer-assisted approach to predicting potentially useful reactions has been developed (80). The union of existing capabiUties in modeling chemical stmctures with selecting reaction pathways has not yet taken place. [Pg.64]

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