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Extensions of the S66 Data Set: More Accurate Interaction Energies and Angular-Displaced Nonequilibrium Geometries

Řezáč, Jan, Riley, Kevin E., Hobza, Pavel·2011·Journal of Chemical Theory and Computation

Abstract

We present two extensions of the recently published S66 data set [Řezáč, Riley, Hobza; DOI: 10.1021/ct2002946]. Interaction energies for the equilibrium geometry complexes have been recalculated using a triple-ζ basis set for the CCSD(T) term in the CCSD(T)/CBS scheme. This allows for the extrapolation of this term to the complete basis set limit, improving accuracy by almost 1 order of magnitude compared to the scheme previously used for the S66 set. Now, we estimate the largest error in the set to be about 1%. Validation of several methods against the new data indicates the exceptional robustness and accuracy of the SCS-MI-CCSD method. The second extension improves the coverage of nonequilibrium geometries. We introduce a new data set, S66a8, that samples intermolecular angular degrees of freedom in the S66 complexes. For each of the 66 complexes, eight displaced geometries have been constructed, systematically sampling possible rotations of the monomers. Interaction energies in this set are calculated at the CCSD(T)/CBS level consistently with the earlier introduced S66x8 data set that samples the intermolecular distance.

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Authors
Řezáč, J., Riley, K. E., & Hobza, P.
Venue
Journal of Chemical Theory and Computation
Published
2011-10-03
Volume
7
Issue
11
Pages
3466-3470
ISSN
  • 1549-9618 (ISSN-L)
  • 1549-9626
OpenAlex
W2322333511
Cited by
246
References
0
FWCI
9.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Extensions of the S66 Data Set: More Accurate Interaction Energies and Angular-Displaced Nonequilibrium Geometries. https://app.cochat.ai/papers/10.1021/ct200523a
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Řezáč, J., Riley, K. E., & Hobza, P. (2011). Extensions of the S66 Data Set: More Accurate Interaction Energies and Angular-Displaced Nonequilibrium Geometries. Journal of Chemical Theory and Computation. https://doi.org/10.1021/ct200523a

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