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Computing chemical shifts using

Determine the effect of basis set on the predicted chemical shifts for benzene. Compute the NMR properties for both compounds at the B3LYP/6-31G(d) geometries we computed previously. Use the HF method for your NMR calculations, with whatever form(s) of the 6-31G basis set you deem appropriate. Compare your results to those of the HF/6-311+G(2d,p) job we ran in the earlier exercise. How does the basis set effect the accuracy of the computed chemical shift for benzene ... [Pg.104]

Fortunately, as shown by Lee, Handy, and Colwell, 1995, it seems that the consequences of this approximation with regard to the accuracy of the computed chemical shifts are rather modest and are of less significance than the general shortcomings inherent in the functionals used. Hence, from an application-oriented, pragmatic point of view one does not need to worry too much about using functionals which are formally inadequate because they neglect the required dependence on j(r). [Pg.215]

Many electronic structure programs, widely used to compute chemical shifts of atoms [61], can be used routinely to compute NICS employing ghost atoms at chosen points. The sign of absolute shieldings obtained in this manner are merely... [Pg.13]

Given that the chemical shifts for any nucleus can be computed, what are the appropriate methods to employ to obtain accurate values We next describe a number of approaches toward computing chemical shifts and coupling constants, particularly probing for adequate treatments of the quantum mechanics (QM) and basis sets. Additionally, we examine some procedures for using computed NMR spectra to assist in identifying chemical sffucture. (Tantillo " has written an excellent review of computation approaches to chemical shifts.) We will end this section with a few case studies where computation played an important role in determining the chemical structure. [Pg.68]

Jain et al. ° examined the dependence of the agreement between experimental and computed chemical shifts on choice of the density functional, basis set, and inclusion of solvent (chloroform modeled using PCM). They employed the same 80-compound test set in the study presented above. Geometries were optimized at B3LYP/6-31G. The linear scaled computed chemical shifts, as expected, have RMSDs from the experiment that are typically 0.05-0.15 pm better than the unsealed values. [Pg.70]

The computed chemical shifts for these test compounds were then plotted against the experimental values and a linear fit was determined to correct the computed values. The average chemical shift difference between computation and experiment was less than 2 ppm, and no difference exceeded 5 ppm. Structure 17 was then optimized, its chemical shifts computed and then corrected using the fitting procedure developed for the three test compounds. These computed chemical shifts were in very poor agreement with the experimental values the average deviation was 6.8 ppm and five shifts differ by more than 10 ppm. Rychnovsky concluded that this poor agreement discredits the proposed structure 17. [Pg.78]

In 1995 Oldfield reviewed the applications of ab initio methods to chemical shift structure refinement, with special emphasis on the construction of chemical shift hyper-surfaces 3(y>, yf) for proteins, de Dios further discussed the range of ab initio calculations using NMR chemical shifts, focussing on the construction of computed chemical shift hyper-surfaces for proteins. In a more recent review, Ando et alf presented an overview of the interplay... [Pg.79]

Meiler, J., Mensinger, R., and Will, M., Fast Determination of 13C-NMR Chemical Shifts Using Artificial Nenral Networks, J. Chem. Inf. Comput. Sci., 40, 1169, 2000. [Pg.243]

Autschbach et have computed chemical shifts and couplings for the [Pt Pbi2] superatom using relativistic density functional theory methods. The J(Pt,Pb) couplings were predicted to be negative. The authors reproduced reasonably the magnitude of couplings and Pt and Pb chemical shifts. [Pg.189]

Enonnous numbers of chemical shifts have been recorded, particularly for FI and Many algoritlnns for the prediction of shifts have been extracted from these, so that the spectra of most organic componnds can be predicted at a useful level of accuracy, usmg data tables available in several convenient texts [12, F3,14 and 15]. Alternatively, computer programs are available that store data from 10 -10 spectra and then use direct... [Pg.1449]

Semiempirical methods are parameterized to reproduce various results. Most often, geometry and energy (usually the heat of formation) are used. Some researchers have extended this by including dipole moments, heats of reaction, and ionization potentials in the parameterization set. A few methods have been parameterized to reproduce a specific property, such as electronic spectra or NMR chemical shifts. Semiempirical calculations can be used to compute properties other than those in the parameterization set. [Pg.32]

There is one semiempirical program, called HyperNMR, that computes NMR chemical shifts. This program goes one step further than other semiempiricals by defining different parameters for the various hybridizations, such as sp carbon vs. sp carbon. This method is called the typed neglect of differential overlap method (TNDO/1 and TNDO/2). As with any semiempirical method, the results are better for species with functional groups similar to those in the set of molecules used to parameterize the method. [Pg.253]

LORG (localized orbital-local origin) technique for removing dependence on the coordinate system when computing NMR chemical shifts LSDA (local spin-density approximation) approximation used in more approximate DFT methods for open-shell systems LSER (linear solvent energy relationships) method for computing solvation energy... [Pg.365]

Using a multiple linear regression computer program, a set of substituent parameters was calculated for a number of the most commonly occurring groups. The calculated substituent effects allow a prediction of the chemical shifts of the exterior and central carbon atoms of the allene with standard deviations of l.Sand 2.3 ppm, respectively Although most compounds were measured as neat liquids, for a number of compounds duplicatel measurements were obtained in various solvents. [Pg.253]


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