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Ab initio model

They also revealed that the number of water molecules needed to form water network between the sulfonic acid groups is a function of the number of fluoromethylene groups in the backbone. Generally speaking, one, two, and three water molecules are required to connect the sulfonic acid groups with number of fluoromethylene groups of 5, 7, and 9 in the backbone respectively.133 In addition, proton dissociation is independent of the distance between the side chains. [Pg.364]

Because of the complexity of hydrated PEMs, a full atomistic modeling of proton transport is impractical. The generic problem is a disparity of time and space scales. While elementary molecular dynamics events occur on a femtosecond time scale, the time interval between consecutive transfer events is usually 3 orders of magnitude greater. The smallest pore may be a few tenth of nanometer while the largest may be a few tens of nanometers. The molecular dynamics events that protons transfer between the water filled pores may have a timescale of 100-1000 ns. This combination of time and spatial scales are far out of the domain for AIMD but in the domain of MD and KMC as shown in Fig. 2. Because of this difficulty, in the models the complexity of the systems is restricted. In fact in many models the dynamics of excess protons in liquid water is considered as an approximation for proton conduction in a hydrated Nation membrane. The conformations and energetics of proton dissociation in acid/water clusters were also evaluated as approximations for those in a Nation membrane.16,19 20 22 24 25 [Pg.364]


The evolution of the mean ir net charge of the five atoms of the ring as a function of the calculation method is reported in Fig. Tl. The sophistication of the method corresponds rougly to a leveling of the charges except for sulfur. The ab initio model, being unique, is tentatively reported in Fig. I-l. [Pg.32]

Perturbation of structural, vibrational, and electronic features of the catalytic center by interaction with probe molecules is the most important experimental approach for understanding the accessibiUty and the reactivity of the site itself. The understanding of the system increases enormously if the experimental results are interpreted on the basis of accurate ab initio modeling. These general statements of course also hold for TS-1 [49,52,64,74-77]. Unfortunately, we do not have the space to enter into a discussion of the abim-dant computational literature published so far on TS-1 catalyst in particular and on titanoshlcates in general. The reader can find an excellent starting point in the Uterature quoted in [49,52,64,74-77,88]. [Pg.50]

Anderson AB, Albu TV. 2000. Catal3ftic effect of platinum on oxygen reduction. An ab initio model including electrode potential dependence. J Electrochem Soc 147 4229-4238. [Pg.30]

Lindroos, J., M. Perakyla, J.-P. Bjorkroth, and T. A. Pakkanen. 1992. Ab Initio Models for Receptor-Ligand Interactions in Proteins. Part 1. Models for asparagine, glutamine, serine, threonine and tyrosine. J. Chem. Soc. Perkin Trans. 2, 2271-2277. [Pg.145]

Stern, H. A. Berne, B. J., Quantum effects in liquid water path-integral simulations of a flexible and polarizable ab initio model, J. Chem. Phys. 2001,115, 7622... [Pg.421]

Extensive ab initio modeling of the excited states of pyrazolotriazole dyes such as (X)-/V -(3,6-dirncthyl-7//-pyrazolo[5, l-c][l,2,4]triazol-7-ylidene)-./V4,./V4-dimethylbenzene-l,4-diamine 2 and (Z)-A,l-(2,6-dirnethyl-7//-pyra-zolo[l,5- ][l,2,4]triazol-7-ylidene)-iV4,./V4-dimethylbenzene-l,4-diamine 3 (Figure 1) have been carried out, highlighting the value of the computational models in predicting actual chemical behavior, even in a relatively difficult case such as that of the chemistry of excited states <2001J(P2)953>. [Pg.201]

In another study of protein structure, Cox and Johnston3 analyzed how the choice of GA parameters affects the quality of the GA search. This sort of approach was also adopted by Djurdjevic and Biggs,4 who presented a detailed study of how evolutionary algorithms can be used, in combination with a full atomistic protein ab initio model, for fold prediction and, like Cox and Johnston, considered the influence of the different values of parameters on the success of their protein folding calculations. [Pg.363]

With the aid of 13C NMR, 6Li NMR and XH HOESY (heteronuclear Overhauser effect spectroscopy) NMR of a-lithiomethoxyallene (106) and l-lithio-l-ethoxy-3-J-butylallene (107) as well as by ab initio model calculations on monomeric and dimeric a-lithiohy-droxyallene, Schleyer and coworkers64 proved that 106 and 107 are dimeric in THF (106 forms a tetramer in diethyl ether) with a nonclassical 1,3-bridged structure. The 13C NMR spectrum of allenyllithium in THF is also in agreement with the allenic-type structure the chemical shift of C2 (196.4 ppm) resembles that of neutral allene (212.6 ppm), rather than C2 of propyne (82.4 ppm). [Pg.167]

Table 2. Scale factors for ab initio model vibrational frequencies adapted from (Scott and Radom 1996). Please note that these scale factors are determined by comparing model and measured frequencies on a set gas-phase molecules dominated by molecules containing low atomic-number elements (H-Cl). These scale factors may not be appropriate for dissolved species and molecules containing heavier elements, and it is always a good idea to directly compare calculated and measured frequencies for each molecule studied. The root-mean-squared (rms) deviation of scaled model frequencies relative to measured frequencies is also shown, giving an indication of how reliable each scale factor is. Table 2. Scale factors for ab initio model vibrational frequencies adapted from (Scott and Radom 1996). Please note that these scale factors are determined by comparing model and measured frequencies on a set gas-phase molecules dominated by molecules containing low atomic-number elements (H-Cl). These scale factors may not be appropriate for dissolved species and molecules containing heavier elements, and it is always a good idea to directly compare calculated and measured frequencies for each molecule studied. The root-mean-squared (rms) deviation of scaled model frequencies relative to measured frequencies is also shown, giving an indication of how reliable each scale factor is.
The nature of the neutral or acidic hydrolysis of CH2CI2 has been examined from ambient temperature to supercritical conditions (600 °C at 246 bar). Rate measurements were made and the results show major deviations from the simple behaviour expressed by the Arrhenius equation. The rate decreases at higher temperatures and relatively little hydrolysis occurs under supercritical conditions. The observed behaviour is explained by a combination of Kirkwood dielectric theory and ab initio modelling. [Pg.337]

Galaktionov, S., Nikieorovich, G.V., Marshall, G.R. Ab initio modeling of small, medium, and large loops in proteins. Biopolymers 2001, 60(2), 153-168. [Pg.21]

A third example was the advantageous application of the SMO-LMBPT model to a zeolite type structure AIH2OH + H2O + NHt,. Ab initio modeling of zeolite structures... [Pg.64]

Role of electron correlation in nonadditive forces and ab initio model potentials for small metal clusters... [Pg.137]

Abstract. The physical nature of nonadditivity in many-particle systems and the methods of calculations of many-body forces are discussed. The special attention is devoted to the electron correlation contributions to many-body forces and their role in the Be r and Li r cluster formation. The procedure is described for founding a model potential for metal clusters with parameters fitted to ab initio energetic surfaces. The proposed potential comprises two-body, three-body, and four body interation energies each one consisting of exchange and dispersion terms. Such kind of ab initio model potentials can be used in the molecular dynamics simulation studies and in the cinalysis of binding in small metal clusters. [Pg.137]

In this section we discuss model potentials for small metal clusters with parameters fitted to ab initio calculated potential surfaces. We named such potentials as ab initio model potentials This approach was first elaborated by Clementi and coworkers and used for the Monte-Carlo simulation of biological systems in liquid water... [Pg.147]

The ab initio model potential for Age was used in molecular dynamics (MD) simulation of the thermal behavior of different isomers of Age in our studies The advantages of using such kind of potential in MD simulation studies are related to the reliability of the quantitative predictions obtained, due to the use of an accurate model potential at the electron correlation level and to the extended length of the simulation time (comparing with other ab initio MD approaches) during which a good statistics is collected. [Pg.149]

The ab initio model potentials is useful not only for a MD simulation. When the model potential is found, we obtain the explicit expressions for the... [Pg.149]

The dependence of distance of the m-body interaction energies and their physical contributions into the ab initio model potential (50) for an equilateral triangle geometry of the Bea cluster are presented in Table III. For intermediate and equilibrium distances IV2I is less or much less than IV3I, however the main contribution to the total exchange, and dispersion, energies... [Pg.151]

Ab Initio Models. The general term used to describe methods seeking approximate solutions to the many-electron Schrodinger Equation, but which do not involve empirical parameters. Ab initio models include Hartree-Fock Models, Moller-Plesset Models and Density Functional Models. [Pg.754]

The shape-consistent (or norm-conserving ) RECP approaches are most widely employed in calculations of heavy-atom molecules though ener-gy-adjusted/consistent pseudopotentials [58] by Stuttgart team are also actively used as well as the Huzinaga-type ab initio model potentials [66]. In plane wave calculations of many-atom systems and in molecular dynamics, the separable pseudopotentials [61, 62, 63] are more popular now because they provide linear scaling of computational effort with the basis set size in contrast to the radially-local RECPs. The nonrelativistic shape-consistent effective core potential was first proposed by Durand Barthelat [71] and then a modified scheme of the pseudoorbital construction was suggested by Christiansen et al. [72] and by Hamann et al. [73]. [Pg.261]

L. Seijo, Z. Barandiaran. The Ab Initio model potential method a common strat-... [Pg.504]

Raman spectroscopy, ab initio model calculations and conformational equilibria in ionic liquids... [Pg.307]


See other pages where Ab initio model is mentioned: [Pg.119]    [Pg.124]    [Pg.31]    [Pg.37]    [Pg.248]    [Pg.253]    [Pg.80]    [Pg.89]    [Pg.111]    [Pg.32]    [Pg.291]    [Pg.93]    [Pg.149]    [Pg.150]    [Pg.285]    [Pg.710]    [Pg.307]   
See also in sourсe #XX -- [ Pg.238 ]




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