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Coupled phase-reaction equilibrium problems not only raise no new thermodynamic issues, but they also raise few new computational issues. By building on the phase and reaction-equilibrium algorithms presented earlier in this chapter, we can devise an elementary algorithm. Reaction-equilibrium problems typically start with known values for T, P, and initial mole numbers N° in a phase-equilibrium context, these variables identify an T problem, such as an isothermal flash calculation. Therefore we can combine the Rachford-Rice method with the reaction-equilibrium calculation given in 11.2 an example is provided in Figure 11.8 for a vapor-liquid situation. This is a traditional way for attacking multiphase-multireaction problems [21, 22] ... [Pg.513]

Fast P L and Truhlar D G 1998 Variational reaction path algorithm J. Chem. Phys. 109 3721 Billing G D 1992 Quantum classical reaction-path model for chemical reactions Chem. Phys. 161 245... [Pg.2328]

Gonzales C and Schlegel H B 1991 Improved algorithms for reaction path following higher-order implicit algorithms J. Chem. Phys. 95 5853... [Pg.2359]

Baker J and Gill P M W 1988 An algorithm for the location of branching points on reaction paths J. Comput. Chem. 9 465... [Pg.2359]

An excellent, up-to-date treatise on geometry optimization and reaction path algorithms for ab initio quantum chemical calculations, including practical aspects. [Pg.2360]

The Helgaker-Chen algorithm results in very large steps being possible, and despite the extra cost of the required second derivatives, this is the method of choice for direct dynamics calculations. A number of systems have been treated, and a review of the method as applied to chemical reactions is given in [2]. [Pg.267]

To be able to follow some algorithmic approaches to reaction classification... [Pg.169]

Now, chemists have acquired much of their knowledge on chemical reactions by inductive learning from a large set of individual reaction instances. How has this been done And how can we build on these methods and knowledge and perform it in a more systematic manner by algorithmic techniques ... [Pg.172]

The reaction rate equations give differential equations that can be solved with methods such as the Runge-Kutta [14] integration or the Gear algorithm [15]. [Pg.553]

With these reaction rate constants, differential reaction rate equations can be constructed for the individual reaction steps of the scheme shown in Figure 10.3-12. Integration of these differential rate equations by the Gear algorithm [15] allows the calculation of the concentration of the various species contained in Figure 10.3-12 over time. This is. shown in Figure 10.3-14. [Pg.555]

Transition stale search algorithms rather climb up the potential energy surface, unlike geometry optimi/.ation routines where an energy minimum is searched for. The characterization of even a simple reaction potential surface may result in location of more than one transition structure, and is likely to require many more individual calculations than are necessary to obtain et nilibrinm geometries for either reactant or product. [Pg.17]

I he eigenvector-following (or Hessian mode) method implemented in HyperChem is based on an effieien t quasi-Newton like algorithm for loca tin g tran sitiori states, wh ieh can locate tran si-tion states for alternative rearran gern eri t/dissoeiation reactions, even when startin g from th e wron g regio n on th e poten tial en ergy surface. [Pg.66]

Figure 5.29 from Gonzalez C and H B Schlegel 1988. An Improved Algorithm for Reaction Path Following. The Journal of Chemical Physics 90 2154-2161. [Pg.19]

Figure 5,30 reprinted from Chemical Physical Letters, 194, Fischer S and M Karplus. Conjugate Peak Refinement An Algorithm for Finding Reaction Paths and Accurate Transition States in Systems with Many Degrees of Freedom. 252-261, 1992, with permission from Elsevier Science. [Pg.19]

A steepest descents minimisation algorithm produces a path that oscillates about the true reaction pathway Ihe transition structure to a minimum. [Pg.304]

Fig. 5.29 Method for correcting the path followed by a steepest descents algorithm to generate the intrinsic reaction coordinate. The solid line shows the real path and the dotted line shows the algorithmic approximation to it. (Figure redrawn from Gonzalez C and H B Schlegel 1988. An Improved Algorithm for Reaction Path Following. Journal of Chemical Physics 90 2154-2161.)... Fig. 5.29 Method for correcting the path followed by a steepest descents algorithm to generate the intrinsic reaction coordinate. The solid line shows the real path and the dotted line shows the algorithmic approximation to it. (Figure redrawn from Gonzalez C and H B Schlegel 1988. An Improved Algorithm for Reaction Path Following. Journal of Chemical Physics 90 2154-2161.)...
Molecular mechanics methods are not generally applicable to structures very far from equilibrium, such as transition structures. Calculations that use algebraic expressions to describe the reaction path and transition structure are usually semiclassical algorithms. These calculations use an energy expression fitted to an ah initio potential energy surface for that exact reaction, rather than using the same parameters for every molecule. Semiclassical calculations are discussed further in Chapter 19. [Pg.53]

The reaction coordinate is calculated in a number of steps. If too few steps are used, then the points that are computed will follow the reaction coordinate less closely. Usually, the default number of points computed by software packages will give reasonable results. More points may be required for complex mechanisms. This algorithm is sometimes called the IRC algorithm, thus creating confusion over the definition of IRC. [Pg.159]

If the complete potential energy surface has already been computed, a reaction coordinate can be determined using an adaptation of the IRC algorithm. The IRC computation requires very little computer time, but obtaining the potential energy surface is far more computation-intensive than an ah initio IRC calculation. Thus, this is only done when the potential energy surface is being computed for another reason. [Pg.161]

An algorithm has been proposed for determining the reaction coordinate, transition structure, and optimized geometry all in a single calculation. The... [Pg.161]

The calculation of reaction rates has not seen as the widespread use as the calculation of molecular geometries. In recent years, it has become possible to compute reaction rates with reasonable accuracy. However, these calculations require some expertise on the part of the researcher. This is partly because of the difficulty in obtaining transition structures and partly because reaction rate algorithms have not been integrated into major computational chemistry programs and thus become automated. [Pg.164]

A second scheme uses a database of known chemical reactions. This more often results in synthesis routes that will work. However, this occurs at the expense of not being able to suggest any new chemistry. This method can also give many possible synthesis routes, not all of which will give acceptable yield or be easily carried out. The quality of results will depend on the database of known reactions and the means for determining which possible routes are best. These are often retro synthetic algorithms, which start with the desired product and let the researcher choose from a list of possible precursors. [Pg.278]


See other pages where Algorithms reactions is mentioned: [Pg.2331]    [Pg.2353]    [Pg.27]    [Pg.197]    [Pg.311]    [Pg.172]    [Pg.191]    [Pg.267]    [Pg.304]    [Pg.305]    [Pg.316]    [Pg.474]    [Pg.636]    [Pg.732]    [Pg.154]    [Pg.154]    [Pg.155]    [Pg.159]    [Pg.159]    [Pg.160]    [Pg.162]    [Pg.162]    [Pg.279]    [Pg.341]    [Pg.358]   


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