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Rusakov YY, Semenov VA, Rusakova IL. On the Efficiency of the Density Functional Theory (DFT)-Based Computational Protocol for ¹H and ¹³C Nuclear Magnetic Resonance (NMR) Chemical Shifts of Natural Products: Studying the Accuracy of the pecS-n (n = 1, 2) Basis Sets. International Journal of Molecular Sciences. 2023; 24(19):14623. https://doi.org/10.3390/ijms241914623

Rusakov, Yuriy Yu., Valentin A. Semenov, and Irina L. Rusakova. 2023. "On the Efficiency of the Density Functional Theory (DFT)-Based Computational Protocol for ¹H and ¹³C Nuclear Magnetic Resonance (NMR) Chemical Shifts of Natural Products: Studying the Accuracy of the pecS-n (n = 1, 2) Basis Sets" International Journal of Molecular Sciences 24, no. 19: 14623. https://doi.org/10.3390/ijms241914623

Rusakov, Y. Y., Semenov, V. A., & Rusakova, I. L. (2023). On the Efficiency of the Density Functional Theory (DFT)-Based Computational Protocol for ¹H and ¹³C Nuclear Magnetic Resonance (NMR) Chemical Shifts of Natural Products: Studying the Accuracy of the pecS-n (n = 1, 2) Basis Sets. International Journal of Molecular Sciences, 24(19), 14623. https://doi.org/10.3390/ijms241914623