On the Performance of Second-Order Polarization Propagator Methods in the Calculation of 1JFC and nJFH NMR Spin-Spin Coupling Constants.

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2024-12-10 Epub Date: 2024-11-29 DOI:10.1021/acs.jctc.4c01043
Marinella de Giovanetti, Rodrigo A Cormanich, Stephan P A Sauer
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Abstract

This study evaluates the performance of doubles-corrected random phase approximation (RPA) and higher random phase approximation (HRPA) approaches in predicting nuclear magnetic resonance (NMR) coupling constants involving fluorine. Their performance is benchmarked against experimental data and compared with that of higher-level theoretical methods, specifically second-order polarization propagator (SOPPA) and SOPPA(CCSD). Additionally, we discuss their performance relative to density functional theory (DFT). We find that RPA(D) is severely constrained by (near) triplet instabilities, while HRPA(D) demonstrates markedly improved stability. Statistical analysis reveals stronger patterns for carbon-fluorine couplings across the methods and systems investigated compared with fluorine-hydrogen couplings. While SOPPA-based methodologies prove to be superior in accuracy, HRPA(D) shows promising performance in reducing the computational burden of these calculations, albeit with a tendency to underestimate the coupling strength. These findings highlight the potential of HRPA(D) as a practical alternative to SOPPA methods, even for such difficult properties as NMR spin-spin coupling constants involving fluorine, emphasizing its role in improving predictive accuracy and efficiency across diverse chemical environments.

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二阶偏振传播子方法在1JFC和nJFH核磁共振自旋-自旋耦合常数计算中的性能
本研究评估了双校正随机相位近似(RPA)和更高随机相位近似(HRPA)方法在预测涉及氟的核磁共振(NMR)耦合常数方面的性能。以实验数据为基准,并与更高层次的理论方法,特别是二阶偏振传播算子(SOPPA)和SOPPA(CCSD)的性能进行了比较。此外,我们讨论了它们的性能相对于密度泛函理论(DFT)。我们发现RPA(D)受到(近)三联体不稳定性的严重约束,而HRPA(D)表现出明显改善的稳定性。统计分析显示,与氟-氢耦合相比,碳-氟耦合在研究方法和系统中的模式更强。虽然基于soppa的方法被证明在准确性方面更优越,但HRPA(D)在减少这些计算的计算负担方面显示出有希望的性能,尽管有低估耦合强度的倾向。这些发现突出了HRPA(D)作为SOPPA方法的实际替代方法的潜力,即使对于诸如涉及氟的NMR自旋-自旋耦合常数等困难的性质,也强调了其在提高不同化学环境下预测准确性和效率方面的作用。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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