化学位移
极化连续介质模型
碳-13核磁共振
密度泛函理论
化学
基准集
原子轨道
分子
计算化学
溶剂效应
溶剂
物理化学
物理
有机化学
量子力学
电子
作者
Ryan D. Cohen,Jared S. Wood,Yu‐hong Lam,Alexei V. Buevich,Edward C. Sherer,Mikhail Reibarkh,R. Thomas Williamson,Gary E. Martin
出处
期刊:Molecules
[Multidisciplinary Digital Publishing Institute]
日期:2023-03-07
卷期号:28 (6): 2449-2449
被引量:32
标识
DOI:10.3390/molecules28062449
摘要
Density functional theory (DFT) benchmark studies of 1H and 13C NMR chemical shifts often yield differing conclusions, likely due to non-optimal test molecules and non-standardized data acquisition. To address this issue, we carefully selected and measured 1H and 13C NMR chemical shifts for 50 structurally diverse small organic molecules containing atoms from only the first two rows of the periodic table. Our NMR dataset, DELTA50, was used to calculate linear scaling factors and to evaluate the accuracy of 73 density functionals, 40 basis sets, 3 solvent models, and 3 gauge-referencing schemes. The best performing DFT methodologies for 1H and 13C NMR chemical shift predictions were WP04/6-311++G(2d,p) and ωB97X-D/def2-SVP, respectively, when combined with the polarizable continuum solvent model (PCM) and gauge-independent atomic orbital (GIAO) method. Geometries should be optimized at the B3LYP-D3/6-311G(d,p) level including the PCM solvent model for the best accuracy. Predictions of 20 organic compounds and natural products from a separate probe set had root-mean-square deviations (RMSD) of 0.07 to 0.19 for 1H and 0.5 to 2.9 for 13C. Maximum deviations were less than 0.5 and 6.5 ppm for 1H and 13C, respectively.
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