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Prediction, complexity

Modern ab initio calculations daily confirm the usefulness of the orbital-based quantal perspective as a basis for predicting complex chemical phenomena. In this framework the fundamental descriptors of the orbital filling sequence are the... [Pg.136]

Solution databases now exist for a niunber of the major metallic alloy systems such as steels, Ni- based superalloys and other alloy systems, and highly accurate calculation have been made which even a few years ago would have been considered impossible. The number of substance databases are increasing and the numbers of substances they include is reaching well into the thousands. Substance and solution databases are increasingly being combined to predict complex reactions such as in gas evolution in cast-irons and for oxidation reactions, and it is already possible to consider calculations of extreme complexity such as the reactions which may occur in the burning of coal in a industrial power generator or the distribution of elements in meteorites. [Pg.41]

Shi, Z.G. McCullough, E.A. A computer-simulation - statistical procedure for predicting complexation equilibrium-constants. J. Inclusion Phenom. Mol. Recognit. 1994, 18 (1), 9-26. [Pg.357]

In general the predicted conformations have agreed with some experimental results obtained from various polypeptides using different experimental techniques. The existence of more than one form of a polypeptide resulting from different conformations possible for some amino acid residues, depending on physical and chemical manipulations, makes validation of these predictions complex. [Pg.300]

Roque, C., M. Renard, and N. Van Quy (1994). Numerical model for predicting complex sulfate scaling during waterflooding. Proc. Int. Symp. Formation Damage Control, Feb. 9-10, Lafayette, LA, 429-440. Society of Petroleum Engineers (SPE), Richardson, TX. [Pg.555]

These parameters, intrinsic bond stability c and ligand sensitivity x referring to some certain hapticity, can now be applied for calculating and thus predicting complex formation constants for all the metal ions, complex fragments and organometal species in Table 2.3... [Pg.30]

In order to model the oscillatory waveform and to predict the p-T locus for the (Hopf) bifurcation from oscillatory ignition to steady flame accurately, it is in fact necessary to include more reaction steps. Johnson et al. [45] examined the 35 reaction Baldwin-Walker scheme and obtained a number of reduced mechanisms from this in order to identify a minimal model capable of semi-quantitative p-T limit prediction and also of producing the complex, mixed-mode waveforms observed experimentally. The minimal scheme depends on the rate coefficient data used, with an updated set beyond that used by Chinnick et al. allowing reduction to a 10-step scheme. It is of particular interest, however, that not even the 35 reaction mechanism can predict complex oscillations unless the non-isothermal character of the reaction is included explicitly. (In computer integrations it is easy to examine the isothermal system by setting the reaction enthalpies equal to zero this allows us, in effect, to examine the behaviour supported by the chemical feedback processes in this system in isolation... [Pg.513]

Figure 89 Predicted complexation of HC272 with from XAFS (Jensen and Bond, J. Am. Chem. Soc. Figure 89 Predicted complexation of HC272 with from XAFS (Jensen and Bond, J. Am. Chem. Soc.
When only little information is available on both the surface structure and the type of complexes formed it is reasonable to investigate the adsorption with the simple one-pKn model of a pseudo homogeneous surface and to describe the complexation with Eqs. (55) to (59). Review [29] and Refs. [52-54] can be consulted for details of this type of description. In review [29] also the bond valence concept is used to describe complexation. No attempts have been made to predict complexation constants so that these have to be treated as adjustable parameters. [Pg.784]

It is clear that for an unsymmetrical data matrix that contains more variables (the field descriptors at each point of the grid for each probe used for calculation) than observables (the biological activity values), classical correlation analysis as multilinear regression analysis would fail. All 3D QSAR methods benefit from the development of PLS analysis, a statistical technique that aims to find the multidimensional direction in the X space that explains the maximum multidimensional variance direction in the F space. PLS is related to principal component analysis (PCA)." ° However, instead of finding the hyperplanes of maximum variance, it finds a linear model describing some predicted variables in terms of other observable variables and therefore can be used directly for prediction. Complexity reduction and data... [Pg.592]

In addition to the microsolvation, the effect of solvation on the reaction has also been modeled by Re and Morokuma [111]. They demonstrated the significance of molecular solvation using the two-layered ONIOM method. The Sn2 pathway between CH3CI and OH ion in microsolvated clusters with one or two water molecules has been studied. This work highlighted the role of solvent in the chemical reaction and also the power of ONIOM model to predict complex systems. All these studies have undoubtedly brought out the significance of H-bonding in solute-solvent interaction, chemical reactivity, and molecular solvation phenomenon. [Pg.7]

The location of the binding site can yield distance constraints to filter possible solutions and this is implemented in our procedure. An intermolecu-lar residue-residue interaction is defined if any pair of atoms is closer than a 4.5 A cut off. This cut off considers the probable error in conformation of any predicted complex. One feature of the Fourier correlation method implemented in FTDOCK, is that biological constraints on one molecule cannot be used to reduced the initial search. For any orientation of the movable molecule, it is placed at every translational position with respect to the static molecule. However, if constraints were available for both molecules, the range of orientations sampled by the movable molecule could be restricted. [Pg.390]

Comparison of native and modelled protein-protein complexes. In the figures the black line denotes the X-ray structure of the complex and the grey lines the predicted complex. Fig. [Pg.397]

In the preparation of materials, aqueous lanthanide and polyoxometalate chemistry is fraught with problems owing to multi-equilibria. Occluded water is often hard to remove and may preclude some applications. Additionally, in aqueous syntheses, different counterions complicate the issue as shown from our work and that of others. Therefore, it is very difficult to predict complexes and structures that will be formed in reactions carried out in water. We intend to branch into s)mtheses using organic soluble lacunary polyoxoanions and organic soluble or organometallic lanthanide precursors. We hope to establish reactions that can be depended on to produce complexes that can be reliably used in synthesis of extended materials. [Pg.80]

The theory was found to predict complex behavior near the phase separation conditions. As the rate of shear increases, first, the system undergoes homogenization, then demixing, followed by another homogenization and demixing. At high rates of shear, the system should behave similarly as in a quiescent state. These predictions were found to be in qualitative agreement with experimental data, e.g., for blends of ethylene-vinylacetate copolymer with chlorinated polyethylene, EVAc/CPE, or polystyrene with poly(vinyl methyl ether), PS/PVME [Hindawi et al., 1992 Eernandez ef fl/., 1993, 1995]. [Pg.488]


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See also in sourсe #XX -- [ Pg.190 ]




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