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分子晶体中基于片段的(13)C核磁共振化学位移预测:平面波方法的替代方案。

Fragment-based (13)C nuclear magnetic resonance chemical shift predictions in molecular crystals: An alternative to planewave methods.

作者信息

Hartman Joshua D, Monaco Stephen, Schatschneider Bohdan, Beran Gregory J O

机构信息

Department of Chemistry, University of California, Riverside, California 92521, USA.

The Pennsylvania State University, The Eberly Campus, 2201 University Dr, Lemont Furnace, Pennsylvania 15456, USA.

出版信息

J Chem Phys. 2015 Sep 14;143(10):102809. doi: 10.1063/1.4922649.

Abstract

We assess the quality of fragment-based ab initio isotropic (13)C chemical shift predictions for a collection of 25 molecular crystals with eight different density functionals. We explore the relative performance of cluster, two-body fragment, combined cluster/fragment, and the planewave gauge-including projector augmented wave (GIPAW) models relative to experiment. When electrostatic embedding is employed to capture many-body polarization effects, the simple and computationally inexpensive two-body fragment model predicts both isotropic (13)C chemical shifts and the chemical shielding tensors as well as both cluster models and the GIPAW approach. Unlike the GIPAW approach, hybrid density functionals can be used readily in a fragment model, and all four hybrid functionals tested here (PBE0, B3LYP, B3PW91, and B97-2) predict chemical shifts in noticeably better agreement with experiment than the four generalized gradient approximation (GGA) functionals considered (PBE, OPBE, BLYP, and BP86). A set of recommended linear regression parameters for mapping between calculated chemical shieldings and observed chemical shifts are provided based on these benchmark calculations. Statistical cross-validation procedures are used to demonstrate the robustness of these fits.

摘要

我们使用八种不同的密度泛函评估了25种分子晶体集合基于片段的从头算各向同性(13)C化学位移预测的质量。我们探讨了团簇、两体片段、组合团簇/片段以及包含平面波规范的投影增强波(GIPAW)模型相对于实验的相对性能。当采用静电嵌入来捕捉多体极化效应时,简单且计算成本低的两体片段模型预测各向同性(13)C化学位移和化学屏蔽张量的效果与团簇模型和GIPAW方法相当。与GIPAW方法不同,杂化密度泛函可以很容易地用于片段模型,并且这里测试的所有四种杂化泛函(PBE0、B3LYP、B3PW91和B97-2)预测的化学位移与实验结果的一致性明显优于所考虑的四种广义梯度近似(GGA)泛函(PBE、OPBE、BLYP和BP86)。基于这些基准计算,提供了一组用于计算的化学屏蔽与观测到的化学位移之间映射的推荐线性回归参数。使用统计交叉验证程序来证明这些拟合的稳健性。

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