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Transition-state search

As mentioned earlier, a potential energy surface may contain saddle points , that is, stationary points where there are one or more directions in which the energy is at a maximum. Asaddle point with one negative eigenvalue corresponds to a transition structure for a chemical reaction of changing isomeric form. Transition structures also exist for reactions involving separated species, for example, in a bimolecular reaction [Pg.17]

Activation energy, i.e., the energy of the transition structure relative to reactants, can be observed experimentally. However, the only way that the geometries of transition structures can be evaluated is from theory. Theory also can give energetics and geometry parameters of short-lived reaction intermediates. [Pg.17]

Transition state search algorithms rather climb up the potential energy surface, unlike geometry optimization 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 equilibrium geometries for either reactant or product. [Pg.17]

Calculated transition structures may be very sensitive to the level of theory employed. Semi-empirical methods, since they are parametrized for energy minimum structures, may be less appropriate for transition state searching than ab initio methods are. Transition structures are normally characterized by weak partial bonds, that is, being broken or formed. In these cases UHF calculations are necessary, and sometimes even the inclusion of electron correlation effects. [Pg.17]


For transition state searches, none of the above updates is particularly appropriate as a positive definite Hessian is not desired. A more usefiil update in this case is the Powell update [16] ... [Pg.2336]

There are excellent references for transition state search calculations and in ethods ... [Pg.65]

IlyperChem supplies two differeiii types or algorithms for transition state search eigenvector I ollowing and synchronous transit (linear and quadratic search ). [Pg.66]

HyperChem can calculate transition structures with either semi-empirical quantum mechanics methods or the ab initio quantum mechanics method. A transition state search finds the maximum energy along a reaction coordinate on a potential energy surface. It locates the first-order saddle point that is, the structure with only one imaginary frequency, having one negative eigenvalue. [Pg.65]

Characterize a potential energy maximum along the reaction coordinate. Transition state searching results in a new structure. You can examine the atomic coordinates and energy of this structure. [Pg.65]

HyperChem offers a Reaction Map facility under the Setup menu. This is needed for the synchronous transit method to match reactants and products, and depending on X (a parameter having values between 0 and 1, determining how far away from reactants structures a transition structure can be expected) will connect atoms in reactants and products and give an estimated or expected transition structure. This procedure can also be used if the eigenvector following method is later chosen for a transition state search method, i.e., if you just want to get an estimate of the transition state geometry. [Pg.67]

Smooth COSMO solvation model. We have recently extended our smooth COSMO solvation model with analytical gradients [71] to work with semiempirical QM and QM/MM methods within the CHARMM and MNDO programs [72, 73], The method is a considerably more stable implementation of the conventional COSMO method for geometry optimizations, transition state searches and potential energy surfaces [72], The method was applied to study dissociative phosphoryl transfer reactions [40], and native and thio-substituted transphosphorylation reactions [73] and compared with density-functional and hybrid QM/MM calculation results. The smooth COSMO method can be formulated as a linear-scaling Green s function approach [72] and was applied to ascertain the contribution of phosphate-phosphate repulsions in linear and bent-form DNA models based on the crystallographic structure of a full turn of DNA in a nucleosome core particle [74],... [Pg.384]

A new transition-state-searching algorithm was used to determine the mechanism for methanol condensation to form dimethyl ether within the microporous environment of the zeolite, chabazite, using periodic boundary conditions and density functional theory. An acid site in the zeolite produces MeOH2+ for nucleophilic attack by a second adsorbed MeOH molecule. [Pg.342]

The kineties of eleetron-transfer reactions, which is also affected by the electrode potential and the metal-water interface, is more difficult and complex to treat than the thermodynamic aspects. While the theoretical development for electron transfer kinetics began decades ago, a practical implementation for surface reactions is still unavailable. Popular transition state-searching techniques such as the NEB method are not designed to search for minimum-energy reaction paths subject to a constant potential. Approximations that allow affordable quantum chemistry calculations to get around this limitation have been proposed, ranging from the electron affinity/ionization potential matching method to heuristic arguments based on interpolations. [Pg.144]

Oxidation by direct H transfer from the a-carbon of alcohols to the pyrroloquinoline quinone (PQQ) cofactor of alcohol dehydrogenases was studied using ab initio quantum mechanical methods <2001JCC1732>. Energies and geometries were calculated at the 6-31G(d,p) level of theory, results were compared to available structural and spectroscopic data, and the role of calcium in the enzymatic reaction was explored. Transition state searches at the semi-empirical and STO-3G(d) level of theory provided evidence that direct transfer from the alcohol to C-5 of PQQ is energetically feasible. [Pg.1202]

Prat-Resina X, JM Bofill, A Gonzalez-Lafont, JM Lluch (2004) Geometry optimization and transition state search in enzymes Different options in the microiterative method. Int. J. Quantum Chem 98 (4) 367-377... [Pg.299]


See other pages where Transition-state search is mentioned: [Pg.2336]    [Pg.2349]    [Pg.2349]    [Pg.2350]    [Pg.17]    [Pg.57]    [Pg.65]    [Pg.65]    [Pg.67]    [Pg.122]    [Pg.122]    [Pg.308]    [Pg.17]    [Pg.57]    [Pg.65]    [Pg.122]    [Pg.122]    [Pg.123]    [Pg.308]    [Pg.250]    [Pg.51]    [Pg.142]    [Pg.52]    [Pg.306]    [Pg.185]    [Pg.173]    [Pg.250]    [Pg.149]    [Pg.305]    [Pg.149]   
See also in sourсe #XX -- [ Pg.17 , Pg.65 , Pg.122 , Pg.308 ]

See also in sourсe #XX -- [ Pg.17 , Pg.65 , Pg.122 , Pg.308 ]




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