CCSD(T), W1, and other model chemistry predictions for gas‐phase deprotonation reactions


Journal article


Frank C. Pickard, Daniel R. Griffith, S. Ferrara, M. Liptak, K. Kirschner, G. Shields
2006

Semantic Scholar DOI
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APA   Click to copy
Pickard, F. C., Griffith, D. R., Ferrara, S., Liptak, M., Kirschner, K., & Shields, G. (2006). CCSD(T), W1, and other model chemistry predictions for gas‐phase deprotonation reactions.


Chicago/Turabian   Click to copy
Pickard, Frank C., Daniel R. Griffith, S. Ferrara, M. Liptak, K. Kirschner, and G. Shields. “CCSD(T), W1, and Other Model Chemistry Predictions for Gas‐Phase Deprotonation Reactions” (2006).


MLA   Click to copy
Pickard, Frank C., et al. CCSD(T), W1, and Other Model Chemistry Predictions for Gas‐Phase Deprotonation Reactions. 2006.


BibTeX   Click to copy

@article{frank2006a,
  title = {CCSD(T), W1, and other model chemistry predictions for gas‐phase deprotonation reactions},
  year = {2006},
  author = {Pickard, Frank C. and Griffith, Daniel R. and Ferrara, S. and Liptak, M. and Kirschner, K. and Shields, G.}
}

Abstract

A series of CCSD(T) single-point calculations on MP4(SDQ) geometries and the W1 model chemistry method have been used to calculate H° and G° values for the deprotonation of 17 gas-phase reactions where the experimental values have reported accuracies within 1 kcal/mol. These values have been compared with previous calculations using the G3 and CBS model chemistries and two DFT methods. The most accurate CCSD(T) method uses the aug-cc-pVQZ basis set. Extrapolation of the aug-cc- pVTZ and aug-cc-pVQZ results yields the most accurate agreement with experiment, with a standard deviation of 0.58 kcal/mol for G° and 0.70 kcal/mol for H°. Standard deviations from experiment for G° and H° for the W1 method are 0.95 and 0.83 kcal/mol, respectively. The G3 and CBS-APNO results are competitive with W1 and are much less expensive. Any of the model chemistry methods or the CCSD(T)/ aug-cc-pVQZ method can serve as a valuable check on the accuracy of experimental data reported in the National Institutes of Standards and Technology (NIST) database.


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