An inexpensive density functional theory-based protocol to predict accurate 19F-NMR chemical shifts

Enrico Benassi

Результат исследования: Научные публикации в периодических изданияхстатьярецензирование


Thanks to its advantages, 19F-NMR is an increasingly popular technique for the structural characterization of F-containing molecules, among which polymers, materials, fluorophores, pharmaceuticals, and so forth. However, the computational calculation of the 19F-NMR chemical shifts, both for prediction and interpretation of experimental spectra, remains a challenge. In this work a density functional theory (DFT) based protocol for the calculation of the chemical shifts is established within the framework of the gauge-independent atomic orbital method, upon verifying the performance of Hartree–Fock and 60 DFT functionals coupled with seven different basis sets. The benchmark is conducted using two sets of molecules, namely one used for testing methods and another used for probing; the former set consists of 134 molecules, the latter 50, yet both of them with F in different chemical environments. Following Bally–Rablen–Tantillo strategy, the scaling parameters and other statistical quantities were computed for each method upon least squares linear regression between experimental and computed chemical shifts. The designed computational workflow is computationally inexpensive and represents a significant improvement with respect to the current state of the art.

Язык оригиналаанглийский
Страницы (с-по)170-183
Число страниц14
ЖурналJournal of Computational Chemistry
Номер выпуска3
СостояниеОпубликовано - 30 янв. 2022

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