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借助用于一般主族热化学、动力学和非共价相互作用的先进GMTKN55数据库审视密度泛函理论体系。

A look at the density functional theory zoo with the advanced GMTKN55 database for general main group thermochemistry, kinetics and noncovalent interactions.

作者信息

Goerigk Lars, Hansen Andreas, Bauer Christoph, Ehrlich Stephan, Najibi Asim, Grimme Stefan

机构信息

School of Chemistry, The University of Melbourne, Parkville, Australia.

出版信息

Phys Chem Chem Phys. 2017 Dec 13;19(48):32184-32215. doi: 10.1039/c7cp04913g.

Abstract

We present the GMTKN55 benchmark database for general main group thermochemistry, kinetics and noncovalent interactions. Compared to its popular predecessor GMTKN30 [Goerigk and Grimme J. Chem. Theory Comput., 2011, 7, 291], it allows assessment across a larger variety of chemical problems-with 13 new benchmark sets being presented for the first time-and it also provides reference values of significantly higher quality for most sets. GMTKN55 comprises 1505 relative energies based on 2462 single-point calculations and it is accessible to the user community via a dedicated website. Herein, we demonstrate the importance of better reference values, and we re-emphasise the need for London-dispersion corrections in density functional theory (DFT) treatments of thermochemical problems, including Minnesota methods. We assessed 217 variations of dispersion-corrected and -uncorrected density functional approximations, and carried out a detailed analysis of 83 of them to identify robust and reliable approaches. Double-hybrid functionals are the most reliable approaches for thermochemistry and noncovalent interactions, and they should be used whenever technically feasible. These are, in particular, DSD-BLYP-D3(BJ), DSD-PBEP86-D3(BJ), and B2GPPLYP-D3(BJ). The best hybrids are ωB97X-V, M052X-D3(0), and ωB97X-D3, but we also recommend PW6B95-D3(BJ) as the best conventional global hybrid. At the meta-generalised-gradient (meta-GGA) level, the SCAN-D3(BJ) method can be recommended. Other meta-GGAs are outperformed by the GGA functionals revPBE-D3(BJ), B97-D3(BJ), and OLYP-D3(BJ). We note that many popular methods, such as B3LYP, are not part of our recommendations. In fact, with our results we hope to inspire a change in the user community's perception of common DFT methods. We also encourage method developers to use GMTKN55 for cross-validation studies of new methodologies.

摘要

我们展示了用于一般主族热化学、动力学和非共价相互作用的GMTKN55基准数据库。与其广受欢迎的前身GMTKN30[戈里格克和格林姆,《化学理论计算杂志》,2011年,7卷,291页]相比,它允许对更多种类的化学问题进行评估——首次提出了13个新的基准集——并且还为大多数数据集提供了质量显著更高的参考值。GMTKN55包含基于2462个单点计算的1505个相对能量,用户社区可通过一个专门网站获取。在此,我们证明了更好的参考值的重要性,并再次强调在热化学问题的密度泛函理论(DFT)处理中,包括明尼苏达方法,需要进行伦敦色散校正。我们评估了217种色散校正和未校正的密度泛函近似变体,并对其中83种进行了详细分析,以确定稳健且可靠的方法。双杂化泛函是热化学和非共价相互作用最可靠的方法,只要技术上可行就应使用。特别是DSD - BLYP - D3(BJ)、DSD - PBEP86 - D3(BJ)和B2GPPLYP - D3(BJ)。最佳的杂化泛函是ωB97X - V、M052X - D3(0)和ωB97X - D3,但我们也推荐PW6B95 - D3(BJ)作为最佳的传统全局杂化泛函。在元广义梯度(meta - GGA)水平上,可以推荐SCAN - D3(BJ)方法。其他元广义梯度近似方法不如广义梯度近似泛函revPBE - D3(BJ)、B97 - D3(BJ)和OLYP - D3(BJ)。我们注意到许多流行的方法,如B3LYP,不在我们的推荐之列。事实上,我们希望通过我们的结果激发用户社区对常见DFT方法看法的改变。我们也鼓励方法开发者使用GMTKN55进行新方法的交叉验证研究。

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