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Segmented contracted basis sets optimized for nuclear magnetic shielding.

Frank Jensen1

  • 1Department of Chemistry, Aarhus University , DK-8000 Aarhus, Denmark.

Journal of Chemical Theory and Computation
|November 18, 2015
PubMed
Summary
This summary is machine-generated.

A new family of segmented contracted basis sets, pcSseg-n, offers efficient and accurate calculations for nuclear magnetic shielding constants across a wide range of elements. These sets are suitable for both routine and benchmark computations.

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Area of Science:

  • Computational chemistry
  • Quantum chemistry
  • Spectroscopy

Background:

  • Nuclear magnetic shielding constants are crucial for interpreting NMR spectra.
  • Existing basis sets may not offer optimal efficiency or accuracy for these calculations.
  • Developing specialized basis sets can improve computational performance.

Purpose of the Study:

  • To introduce and evaluate a new family of segmented contracted basis sets (pcSseg-n) for calculating nuclear magnetic shielding constants.
  • To assess the computational efficiency and accuracy of these sets compared to existing methods.
  • To extend the applicability of these basis sets to a broader range of elements.

Main Methods:

  • Optimization of segmented contracted basis sets (pcSseg-n) at the density functional theory (DFT) level.
  • Testing the basis sets for calculating nuclear magnetic shielding constants for elements H-Kr.
  • Comparison with previously developed general contracted basis sets (pcS-n).

Main Results:

  • The proposed pcSseg-n basis sets demonstrate improved computational efficiency for elements H-Ar compared to pcS-n sets.
  • The basis sets are extended to include elements K-Kr.
  • pcSseg-n sets are effective for both DFT and correlated wave function methods.
  • Basis sets are available in various qualities (double-ζ to pentuple-ζ).

Conclusions:

  • The pcSseg-n basis sets provide an efficient and accurate tool for calculating nuclear magnetic shielding constants.
  • These sets are versatile, suitable for routine and benchmark calculations across many elements.
  • The ability to separate basis set and method errors will facilitate the development of more accurate computational methods.