A comprehensive benchmark investigation of quantum chemical methods for carbocations

文献信息

发布日期 2022-12-08
DOI 10.1039/D2CP04603B
影响因子 3.676
作者

Júlia M. A. Alves, Natália L. Vrech, Ataualpa A. C. Braga


查看原文

摘要

The application of various density functional approximations (DFAs) and an emphasis on popular methods without any consensus have prevailed in computational studies dedicated to carbocations. More importantly, an extensive and rigorous benchmark investigation on density functionals for the class is still lacking. To close this gap, we present a comprehensive benchmark study of quantum chemical methods on a series of classical and nonclassical carbocations, the CARBO33 dataset. We evaluate a total of 107 DFT methods from all rungs giving particular attention to double hybrid density functionals as the potential of the class has been largely undermined in the context of carbocations. To support our findings, DLPNO-CCSD(T) at the complete basis set (CBS) limit and W1-F12 are used as reference methods. Our results indicate that the composite CBS-QB3 method performs poorly and should not be adopted for target energies. Oftentimes, the tested DFAs of a lower rung perform better than several DFAs in a higher rung of Perdew's “Jacob's ladder”. Nonetheless, double hybrids DSD-PBEP86-NL and ωB97X-2-D3(BJ) stand out by showing the overall best performance. Among the hybrids evaluated, about half of them show mean absolute deviation (MAD) below 1.1 kcal mol−1, including the popular hybrids M06-2X and mPW1PW91. In this family, MN15-D3(BJ) performs particularly well (MAD = 0.77 kcal mol−1) displaying reliable results across various tests. Highly popular B3LYP exhibited one of the worst performances (MAD = 4.74 kcal mol−1), and we do not recommend its application to carbocations. We also assess the 24 general-purpose basis sets of single- up to quadruple-ζ quality. The best compromise between accuracy and computational cost is achieved with cc-pVTZ followed by def2-TZVP. Computations on larger structures of general interest, including terpene carbocations, are also presented for selected DFT methods confirming general trends in the results.

相关文献

Prediction of the Au4S crystal via a superatom network model: from clusters to solids

Qiman Liu, Chengyu Zhang, Chang Xu, Shuanglin Hu

2020-01-17 Paper

DOI: 10.1039/C9CP06180K

Redox processes in sodium vanadium phosphate cathodes – insights from operando magnetometry

Gregor Klinser, Roman Zettl, Heinz Krenn, Roland Würschum

2019-09-04 Paper

DOI: 10.1039/C9CP04045E

Coinage metal dimers as the noncovalent interaction acceptors: study of the σ-lump interactions

Jing Cui, Xueying Zhang, Lingpeng Meng, Qingzhong Li

2019-08-29 Paper

DOI: 10.1039/C9CP03686E

Calculation of vibrationally resolved absorption spectra of acenes and pyrene

Isaac Benkyi, Enrico Tapavicza, Heike Fliegl, Dage Sundholm

2019-09-11 Paper

DOI: 10.1039/C9CP04178H

Membrane softening by nonsteroidal anti-inflammatory drugs investigated by neutron spin echo

V. K. Sharma, D. K. Rai, E. Mamontov

2019-08-13 Paper

DOI: 10.1039/C9CP03767E

Methylthio BODIPY as a standard triplet photosensitizer for singlet oxygen production: a photophysical study

Ruth Prieto-Montero, Rebeca Sola-Llano, Raul Montero, Asier Longarte, Teresa Arbeloa, Iñigo López-Arbeloa, Virginia Martínez-Martínez, Sylvie Lacombe

2019-07-31 Paper

DOI: 10.1039/C9CP03454D

closo-Carboranes as dual CH⋯π and BH⋯π donors: theoretical study and biological significance

Antonio Frontera, Antonio Bauzá

2019-08-21 Paper

DOI: 10.1039/C9CP03858B

Enhanced structural disorder at a nanocrystalline ice surface

Yuji Otsuki, Kazuya Watanabe, Yoshiyasu Matsumoto

2019-09-10 Paper

DOI: 10.1039/C8CP07269H

您可能还喜欢

化合物问答

甲基双烯双酮(CAS号:5173-46-6)通常如何合成?

甲基双烯双酮可以通过多种途径合成。一种常见的合成方法是通过甲基化和环化反应,先由4-甲基-9-烯-1,3-二酮合成,然后进行环化反应得到目标产物。具体的合成路线...

5173-46-6Estra-4,9-diene-3,17...
化合物问答

如何处理含有tert-butyl 3,5-difluorobenzoate(CAS号:467442-11-1)的废料?

处理含有tert-butyl 3,5-difluorobenzoate(CAS号:467442-11-1)的废液时,应首先收集并密封,避免泄漏。随后,建议通过焚...

467442-11-12-Methyl-2-propanyl ...
化合物问答

4-二甲氧基甲基-2-(三氟甲基)嘧啶(CAS号:878760-47-5)通常如何合成?

4-二甲氧基甲基-2-(三氟甲基)嘧啶通常通过三氟甲基化反应合成。首先,将2-氯嘧啶与三氟甲基锂在惰性溶剂中反应,然后将得到的三氟甲基化中间体与二甲氧基甲基化试...

878760-47-54-(Dimethoxymethyl)-...
化合物问答

WRW4(CAS号:878557-55-2)的主要用途是什么?

WRW4主要应用于科学研究领域,尤其是在合成化学和有机合成方面。由于其特殊的化学性质,它可能被用于特定的化学反应或合成过程。

化合物问答

什么是6-O-(三异丙基硅基)-D-葡萄烯糖(CAS号:137915-37-8)?

6-O-(三异丙基硅基)-D-葡萄烯糖是一种有机化合物,化学名为1,5-Anhydro-2-deoxy-6-O-(triisopropylsilyl)-D-ar...

137915-37-81,5-Anhydro-2-deoxy-...
化合物问答

N-Benzyl-N,N-dimethyl-2-phenoxyethanaminium(CAS号:7181-73-9)的主要用途是什么?

N-Benzyl-N,N-dimethyl-2-phenoxyethanaminium在有机合成中被用作保护基团,可以用于保护氨基,提高反应的选择性和产率。此外...

7181-73-9N-Benzyl-N,N-dimethy...
化合物问答

什么是3-(Cyclohex-1-en-1-yl)acrylic acid(CAS号:56453-88-4)?

3-(Cyclohex-1-en-1-yl)acrylic acid,简称3-环己烯-1-烯丙酸,是一种含有环己烯基团的丙烯酸衍生物,用于合成其他化合物或作为有...

56453-88-43-(Cyclohex-1-en-1-y...
化合物问答

如何储存(1R)-7-fluoro-1,2,3,4-tetrahydronaphthalen-1-amine(CAS号:1055949-62-6)?

应将(1R)-7-氟-1,2,3,4-四氢萘胺储存于阴凉、干燥、通风良好的地方,远离火源和热源。避免与氧化剂、酸类接触。使用合适的容器,密封保存。

1055949-62-6(1R)-7-Fluoro-1,2,3,...
化合物问答

3-甲基苯并呋喃-2-羧酸(CAS号:24673-56-1)的主要用途是什么?

3-甲基苯并呋喃-2-羧酸主要用作合成其他化合物的中间体,如药物合成、有机合成等领域。此外,该化合物在某些领域作为化学试剂或分析试剂使用。

24673-56-13-Methyl-1-benzofura...
化合物问答

孕烷醇酮(CAS号:128-20-1)适用哪些法规指南?

孕烷醇酮(CAS号:128-20-1)需遵守GHS(全球化学品统一分类和标签制度)的相关分类和标签要求,主要涉及健康危害、环境危害和物理化学危害。此外,还需要遵...

128-20-1(3alpha,5beta)-3-Hyd...

来源期刊

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
自引率: 10.3%
年发文量: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

推荐供应商

免责声明
本页面提供的学术期刊信息仅供参考和研究使用。我们与任何期刊出版商均无关联,也不处理投稿事宜。如有投稿相关咨询,请直接联系相关期刊出版商。
如发现页面信息有误,请发送邮件至 support@chemtradehub.com 联系我们。我们将及时核实并处理您的问题。