关于计算Pb NMR化学转移的基准研究207
Thomas Gasevic1, Julius B Kleine Büning1, Stefan Grimme1
1Mulliken Center for Theoretical Chemistry, Clausius Institute for Physical and Theoretical Chemistry, University of Bonn, Beringstr. 4, 53115 Bonn, Germany.
Inorganic chemistry
|March 6, 2024
概括
本研究介绍了用于计算Pb NMR化学转移的PbS50基准集. 像mPW1PW和PBE0这样的混合密度函数近似 (DFAs) 显示了这些化合物的最佳准确性.
科学领域:
- 计算化学是一种计算化学.
- 核磁共振光谱学 核磁共振光谱学
- 无机化学 无机化学 无机化学
背景情况:
- 核磁共振光谱对于表征含化合物至关重要.
- 准确的Pb NMR化学转移的计算预测是具有挑战性的.
- 需要一个可靠的基准数据集来验证计算方法.
研究的目的:
- 介绍PbS50基准集,包括50种化合物与实验性Pb NMR化学转移.
- 评估各种计算设置来预测这些变化.
- 为了确定精确的密度函数近似 (DFAs) 和相对论处理.
主要方法:
- 开发PbS50数据集,使用多种粘合模式和实验转移.
- 评估了七个通用梯度近似 (GGAs) 和三个混合 DFAs.
- 使用零次正规近似 (ZORA) 和旋转轨道 (SO-ZORA) 评估相对论效应.
- 包括博尔茨曼平均值在内的构造性处理的比较.
主要成果:
- 混合型DFA显著优于GGA,mPW1PW (MAD 429 ppm) 和PBE0 (MAD 446 ppm) 是最准确的.
- 旋转轨道ZORA对于可靠的相对论计算是必要的.
- 刚性分子的形状效应较小,但通过博尔兹曼平均计算对柔性分子有益.
- 在几何优化过程中,明确的相对论处理并没有改善比有效核心潜力 (ECP) 的结果.
结论:
- PbS50集为开发和验证Pb NMR转移的计算方法提供了宝贵的资源.
- 混合DFAs与SO-ZORA相结合,为准确的预测提供了一个强大的方法.
- 仔细考虑相对论效应和形状灵活性对于精确的计算很重要.
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