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SCF model

This data elearly shows that eorreetions to the SCF model (see the above table) represent signifieant fraetions of the inter-eleetron interaetion energies (e.g., 1.234 eV eompared to 5.95- 1.234 = 4.72 eV for the two 2s eleetrons of Be), and that the inter-eleetron interaetion energies, in turn, eonstitute signifieant fraetions of the total energy of eaeh orbital (e.g., 5.95 -1.234 eV = 4.72 eV out of-15.4 eV for a 2s orbital of Be). [Pg.233]

We will actually use the idea that the interaction between electrons can somehow be averaged in a later chapter you will see how this idea forms the basis for the self-consistent field (SCF) model. [Pg.88]

In such a case we say that there is no correlation between the particles. This would certainly be the case if there were no electrostatic interaction between electrons, but it also holds for the electrons in Hartree s original SCF model. This is because each electron experiences an average potential due to the remaining electrons and the nuclei. Electrons repel each other, and we would certainly expect the probability of finding two of them close together would be reduced compared to the value expected for independent particles. [Pg.186]

Fig. 9. Comparison of the analytical SCF model [56] with the full numerical SCF calculation [53] for the segment density profile in flat, grafted layers at various surface densities (o is the fraction of the maximum possible surface coverage of grafted ends). The analytical profile is parabolic to its tip, while the numerical calculation shows that the density at the periphery of the layer drops off exponentially... Fig. 9. Comparison of the analytical SCF model [56] with the full numerical SCF calculation [53] for the segment density profile in flat, grafted layers at various surface densities (o is the fraction of the maximum possible surface coverage of grafted ends). The analytical profile is parabolic to its tip, while the numerical calculation shows that the density at the periphery of the layer drops off exponentially...
Upon dimerization, electron charge is transferred from the base (the H-acceptor molecule) to the acid (the H-donor molecule), in agreement with Lewis generalized definition of an acid and a base as an electron acceptor and donor, respectively. The amount of such a charge transfer (CT) is reported in Table 4, for the two SCF models considered in this paper and as a function of the basis set size. The CTs are small and, for the SCF-SM method, are found to decrease as the basis set size increases. [Pg.113]

Espinosa, E., C. Lecomte, N. E. Ghermani, J. Devemy, M. M. Rohmer, M. Benard, and E. Molins. 1996. Hydrogen Bonds First Quantitative Agreement between Electrostatic Potential Calculations from Experimental X-(X+N) and Theoretical Ab Initio SCF Models. J. Am Chem. Soc. 118, 2501. [Pg.77]

This transformation leaves invariant all observable molecular properties of ground-state norbornadiene that can be derived from our SCF model. Note that the two localized orbitals describing a double bond are two banana LMOs Xb,Up and Xb.down, as shown on the left of Figure 17, Their normalized, out-of-phase linear combination... [Pg.220]

C. J. Cramer and D. G. Truhlar, General parameterized SCF model for free energies of... [Pg.90]

Semiempirical (CNDO, MNDO, ZINDO, AMI, PM3, PM3(tm) and others) methods based on the Hartree-Fock self-consistent field (HF-SCF) model, which treats valence electrons only and contains approximations to simplify (and shorten the time of) calculations. Semiempirical methods are parameterized to fit experimental results, and the PM3(tm) method treats transition metals. Treats systems of up to 200 atoms. [Pg.130]

Ab-initio (nonempirical, from first principles ) methods also use the HF-SCF model but includes all electrons and uses minimal approximation. Basis sets of functions based on linear combinations of atomic orbitals (LCAO) increase in complexity from the simplest (STO-3G) to more complex (3-21G( )) to extended basis sets (6-311 + G ) for the most accurate (and most time-consuming) results. Treat systems up to 50 atoms. [Pg.130]

SCF models typically make use of lattice approximations. As dynamics are not an issue, it is not necessary to specify all the potentials in equal detail. Therefore there are many differences between the SCF and simulation methods. Comparing and contrasting both methods remains of interest, because this will give insight into essential and less essential aspects of membrane formation. [Pg.53]

As a consequence, the presentation of the results will also differ from that in a MD or MC box, where a full set of molecules can be depicted (as snapshots). In an SCF model, all properties will be presented in, for example, (average) numbers of molecules per unit area of the membrane, or equivalent, i.e. the (average) densities of molecules as a function of the z-coordinate. The box thus consists, if one insists, only of one coordinate. For this reason, we can refer to this method as a one-gradient SCF theory or simply 1D-SCF theory. Extensions towards 2D-SCF are available, where lateral inhomogeneities in the bilayer can also be examined [80], There are even implementations of 3D SCF-like models, but here the interpretation is somewhat more delicate [78],... [Pg.53]

With respect to SCF models that focus on the tail properties only (typically densely packed layers of end-grafted chains), the molecularly realistic SCF model exemplified in this review needs many interaction parameters. These parameters are necessary to obtain colloid-chemically stable free-floating bilayers. A historical note of interest is that it was only after the first SCF results [92] showed that it was not necessary to graft the lipid tails to a plane, that MD simulations with head-and-tail properties were performed. In the early MD simulations (i.e. before 1983) the chains were grafted (by a spring) to a plane it was believed that without the grafting constraints the molecules would diffuse away and the membrane would disintegrate. Of course, the MD simulations that include the full head-and-tails problem feature many more interactions than the early ones. [Pg.62]

The order parameter is directly available from the calculations and the SCF results are given in Figure 17. The absolute values of the order parameter are a strong function of head-group area. Unlike in most SCF models, we do not use this as an input value it comes out as a result of the calculations. As such, it is somewhat of a function of the parameter choice. The qualitative trends of how the order distributes along the contour of the tails are rather more generic, i.e. independent of the exact values of the interaction parameters. The result in Figure 17 is consistent with the simulation results, as well as with the available experimental data. The order drops off to a low value at the very end of the tails. There is a semi-plateau in the order parameter for positions t = 6 — 14,... [Pg.68]

SCF -CyclinE-E2 complexes [66, 85, 103]. In all cases, no intermolecular collision was found in the final models. The substrate-binding domains of all three F-box proteins are positioned on the same side of the SCF complex as the E2. In addition, these domains are all oriented toward the E2 active site. Remarkably, the positions of the WD40 domain in the and SCF models are strikingly... [Pg.178]

Calculations from SCF theory of the mixed layer structure, and of the interaction potential for a pair of mixed layers as a function of interlayer separation, suggest that the mixed layer has a heterogeneous morphology perpendicular to die interface (Parkinson et al., 2005). This localized segregation arises from the excluded volume interaction between spaced-out casein chains and the dense brush-like layer that was invoked in the simple SCF model to represent the p-lactoglobulin adsorbed monolayer. [Pg.322]

A fourth potential problem is that HF theory does not model van der Waals attractive interactions between nonbonded molecules. Whereas hydrogen bonding is well represented by the HF-SCF model, weak London dispersion attractions are not. [Pg.368]

Like the models of de Gennes (1982) and Scheutjens and Fleer (1985 Fleer and Scheutjens, 1986), the SCF model predicts monotonic attraction between adsorbed layers under conditions of full equilibrium. For constant restricted equilibrium), Fig. 23 shows Ay s y(zm) — y(co) (curve A) increases slightly before falling as the separation decreases A/ip = pp(zm) — /ip(oo) increases upon compression (curve B), and the total potential (curve C) displays an attractive minimum as well as a steep repulsive wall. Potentials for various different combinations of n and (pb (i.e., dosage at infinite separation). The reasons for this difference are not clear at this point. [Pg.193]

Espinosa, E., Lecomte, C., Ghermani, N. E., Devemy, J., Rohmer, M. M., Benard, M., and Molins, E, Hydrogen bonds First quantitative agreement between electrostatic potential calculations from experimental X-(X + N) and theoretical ab initio SCF models, J. Am. Chem. Soc. 118, 2501-2502(1996). [Pg.46]


See other pages where SCF model is mentioned: [Pg.2164]    [Pg.2186]    [Pg.486]    [Pg.211]    [Pg.358]    [Pg.17]    [Pg.55]    [Pg.60]    [Pg.61]    [Pg.63]    [Pg.70]    [Pg.75]    [Pg.77]    [Pg.83]    [Pg.362]    [Pg.387]    [Pg.281]    [Pg.281]    [Pg.163]    [Pg.415]    [Pg.58]    [Pg.3826]   
See also in sourсe #XX -- [ Pg.88 , Pg.113 ]

See also in sourсe #XX -- [ Pg.88 , Pg.113 ]

See also in sourсe #XX -- [ Pg.88 , Pg.113 ]




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Model of the SCF in Complex With E2 and Substrates

Numeric SCF model

SCF

SCFs

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