Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Density prediction

Results for the neutral pyrazole molecule show a considerable spread. The tt-electron and total (Tr-l-cr) densities predict electrophilic substitution at the 4-position as found. Results for thiazole also agree with experimentally determined electrophilic and nucleophilic reactivity. [Pg.6]

The most complete discussion of the electrophilic substitution in pyrazole, which experimentally always takes place at the 4-position in both the neutral pyrazole and the cation (Section 4.04.2.1.1), is to be found in (70JCS(B)1692). The results reported in Table 2 show that for (29), (30) and (31) both tt- and total (tt cr)-electron densities predict electrophilic substitution at the 4-position, with the exception of an older publication that should be considered no further (60AJC49). More elaborate models, within the CNDO approximation, have been used by Burton and Finar (70JCS(B)1692) to study the electrophilic substitution in (29) and (31). Considering the substrate plus the properties of the attacking species (H", Cl" ), they predict the correct orientation only for perpendicular attack on a planar site. For the neutral molecule (the cation is symmetrical) the second most reactive position towards H" and Cl" is the 5-position. The activation energies (kJmoF ) relative to the 4-position are H ", C-3, 28.3 C-5, 7.13 Cr, C-3, 34.4 C-5, 16.9. [Pg.173]

Vapor Density Prediction A myriad of methods exist for pre-dic tion of vapor density as a function of temperature and pressure. This section will only present the most accurate and generally used methods. [Pg.399]

Liquid Density Prediction Methods for the prediction of pure saturated hydrocarbons and nonhydrocarbon organics, compressed hydrocarbon hquids, and defined and undefined hydrocarbon mixtures were evaluated. Only the most accurate and convenient methods are included here. [Pg.402]

Marshall D, Johnell O, Wedel H (1996) Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. Br Med J 312 1254-1259... [Pg.213]

In variable-density flows, this relation is used to couple the PDF code to the FV code by replacing the mean density predicted by the FV code with p X. Because the convergence behavior of the FV code may be sensitive to errors in the estimated mean density, particle-number control is especially critical in variable-density Lagrangian PDF codes. [Pg.361]

Recently, on-line FBRM, ATR-FTIR spectroscopy, Raman spectroscopy and PLS were used to moifitor a complex crystallization system a racemic free base of a given componnd and a chiral acid. The anthors first demonstrate that the diastereomeric composition can be estimated nsing Raman spectral data, slnrry density and temperature using a PLS model. Consequently the issne of on-line slurry density prediction, which is not readily available, arises. An additional PLS model was constructed that used the ATR-FTIR spectral data to infer slurry density. Slurry density as predicted in real-time via ATR-FTIR spectroscopy was fed into the aforementioned Raman, slurry density and temperatnre PLS model to yield a more accnrate estimate of the fractional solid composition of the two diastereomers. ... [Pg.443]

Ammon, H. L., Z. Du, and J. R. Holden. 1992. Beyond density prediction to ab initio crystal structure prediction. 11th Annual Working Group Institute on Synthesis of High Energy Density Proceedings. Kiamesha Lake, NY. 15-31. [Pg.52]

The Hirshfeld functions give an excellent fit to the density, as illustrated for tetrafluoroterephthalonitrile in chapter 5 (see Fig. 5.12). But, because they are less localized than the spherical harmonic functions, net atomic charges are less well defined. A comparison of the two formalisms has been made in the refinement of pyridinium dicyanomethylide (Baert et al. 1982). While both models fit the data equally well, the Hirshfeld model leads to a much larger value of the molecular dipole moment obtained by summation over the atomic functions using the equations described in chapter 7. The multipole results appear in better agreement with other experimental and theoretical values, which suggests that the latter are preferable when electrostatic properties are to be evaluated directly from the least-squares results. When the evaluation is based on the density predicted by the model, both formalisms should perform well. [Pg.71]

Peneloux et al. [35] have introduced a clever method of improving the saturated liquid molar volume predictions of a cubic equation of state, by translating the calculated volumes without efffecting the prediction of phase equilibrium. The volume-translation parameter is chosen to give the correct saturated liquid volume at some temperature, usually at a reduced temperature Tr = T/Tc = 0.7, which is near the normal boiling point. It is possible to improve the liquid density predictions further by making the translation parameter temperature dependent. [Pg.43]

TE of the DOTAP/DOPC/Chol-DNA complexes strongly deviates from the universal bell-shaped curve observed for binary systems. The TE of cholesterol-containing complexes increases more rapidly with increasing cholesterol content than the increase in membrane charge density predicts for 0 < 4>chol < 0.4. No further TE increase is seen for 4>chol > 0.4 (where the membrane is saturated with cholesterol [Pg.201]

Calculated charge densities predicted very little charge on the exocyclic sulfur atom supporting instead the existence of canonical forms 4a and 4b. [Pg.500]

Summary and Challenges. Because of the expense, labor, time requirements and possible danger (both to personnel and the environment) of synthesizing new energetic materials, it is important to pre-select only materials which have the potential for substantially better performance than compounds currently in use. In this chapter, our procedures for crystal structure (and density) prediction were detailed. Crystal structure prediction provides an entry into other important areas such as sensitivity and crystal habit. [Pg.211]

Finally, it densities have been calculated for pyrazole by the CNDO/2 method [70JCS(B)1692], the values being different again from those given above, but the correct order, namely. 4 > 5 > 3, is predicted. Methyl at the 3-position raised the density at the 4-position less than did methyl at position 5, consistent with the expected effect of bond fixation, However, methyl at positions 3 or 5 was predicted to lower the density at the corresponding meta-position, which is anomalous. For the pyrazole cation, the tt densities predicted a lower reactivity, the positional order being 4 > 5 = 3. [Pg.179]

There have been few studies of the reactivity of molecules in this class. Calculations (ir density) indicate that the positional order in naphtho-[2,3-c]-l,2,5-thiadiazole (8.129 X = S), is 4 > 6 > 5, whereas localization energies and frontier electron densities predict 4 > 5 > 6 [66TCA(5)401] the high reactivity of the 4-position follows from the benzenoid character generated in the transition state (8.130). CNDO/2 calculations for naph-tho[2,3-c]-l,2,5-oxa-, -thia-, and -selena-diazoles (8.129, X = O, S, Se) predict the order 6 > 4 5 (73CHE1331). For the corresponding [1,2-c]... [Pg.251]

Calculations predict the most reactive sites in thieno[2,3-b]quinoline (8.132) to be the expected 2- or 3-positions [77ZN(B)1331], but there is little agreement on the positional reactivity order in 6-methylindolo-[2,3-6]quinoxaline (8.133) (84CHE687). tt Densities predict the order 7 > 9 > 1 (Huckel) or 7 > 9 > 3,4 (CNDO/2), localization energies (Huckel) predict 4 > 7 > 1, superdelocalizabilities predict 4 > 1 > 7, and frontier electron densities predict 1 > 4 > 3 (Huckel) or 4 > 1 > 2 (CNDO/2). The observed nitration and bromination at the 9-position serve to underline the inadequacy of all these theoretical methods. Localization energies predict that pyrrolo[l,2-[Pg.251]

However, the methods for calculating the density of a supercritical fluid are rather conventional. An equation of state or a corresponding state method can be used. They must be used with caution because the critical region is notorious as a region where the accuracy of density predictions is poor. [Pg.221]

While the rr-densities predict greater reactivity to electrophilic attack at C-2 in the imidazole anion, localization energies suggest an order of reactivity of C-4 > C-2. Use of the CNDO/2 method predicts the order of electrophilic substitution in benzimidazole to be5= 7>6>4>2, whereas the observed order (for aqueous bromination) is 5>7>6,4,2 (78JCS(P2)865). Predictions of preferential nucleophilic attack at C-2 are confirmed by experiment. Table 2 lists rr-electron densities in benzimidazole. [Pg.348]

As a final remark in this chapter, a very important investigation concerning the experimental verification of lone pair electron density has been reported for dimethyltellurium dichloride, (CH3)2TeCl2 (451). High-resolution X-ray experiments on the deformation density at 151 K, which are the first ones of this kind for a heavy main-group element molecule, give clear and quantitative evidence for the localized electron density predicted at one of the equatorial positions of the ( (-trigonal bipyramidal molecule. [Pg.246]

Equation (8) gives the limiting, potential-independent current density predicted for complete control of sequence (5b) -h (5c) by the dissociative chemisorption of H2 (process (5b)) at a catalyst surface with a small number of CO-free sites (see 18a). Such a limiting rate of hydrogen electro-oxidation at low anodic overpotentials has been observed recently in RDE experiments with H2/CO mixtures, performed with platinum and PtRu RDEs [18d,e]. This limiting current density (Eq. (8)) explains the PEFC characteristic observed with low CO levels in the fuel feed stream, depicted in Fig. 13. Under such conditions, the fuel cell will exhibit ordinary anode losses up to the current density defined by Eq. (8), but higher current demands would require a... [Pg.221]


See other pages where Density prediction is mentioned: [Pg.49]    [Pg.49]    [Pg.49]    [Pg.405]    [Pg.17]    [Pg.17]    [Pg.726]    [Pg.28]    [Pg.252]    [Pg.453]    [Pg.99]    [Pg.56]    [Pg.185]    [Pg.149]    [Pg.900]    [Pg.284]    [Pg.284]    [Pg.263]    [Pg.267]    [Pg.397]   
See also in sourсe #XX -- [ Pg.313 ]




SEARCH



Density functional theory interaction prediction

Density prediction using equations

Kohn-Sham Density Functional Theory Predicting and Understanding Chemistry

Predictions by density functional

Solid Density Prediction

© 2024 chempedia.info