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首页> 外文期刊>Physical chemistry chemical physics: PCCP >A look at the density functional theory zoo with the advanced GMTKN55 database for general main group thermochemistry, kinetics and noncovalent interactions
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A look at the density functional theory zoo with the advanced GMTKN55 database for general main group thermochemistry, kinetics and noncovalent interactions

机译:使用高级GMTKN55数据库查看密度泛函理论动物园,用于一般主要组化学,动力学和非价互动

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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 omega B97X-V, M052X-D3(0), and omega B97X-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.
机译:我们为GMTKN55基准数据库提供了一般主要组热化学,动力学和非价相互作用。与其流行的前任GMTKN30相比[Goerigk和Grimme J. Chem。理论计算。,2011,7,291],它允许在更大种类的化学问题上进行评估 - 用13个新的基准组是第一次呈现 - 它还为大多数集合提供了显着更高质量的参考值。 GMTKN55包括基于2462单点计算的1505个相对能量,并且可以通过专用网站访问用户社区。在此,我们证明了更好的参考值的重要性,我们重新强调了在包括明尼苏达方法的热化学问题的密度函数理论(DFT)处理中的伦敦色散校正。我们评估了217个色散校正和损伤密度函数近似的变化,并对其中的83例进行了详细分析,以确定强大和可靠的方法。双混合功能是热化学和非共价相互作用最可靠的方法,并且在技术上可行时它们应该使用它们。这些,特别是DSD-BLYP-D3(BJ),DSD-PBEP86-D3(BJ)和B2GPPLYP-D3(BJ)。最好的混合动力车是OMEGA B97X-V,M052x-D3(0)和Omega B97x-D3,但我们还推荐PW6B95-D3(BJ)作为最佳的传统全球混合动力车。在元通用梯度(Meta-GGA)级别,可以推荐SCAN-D3(BJ)方法。其他META-GGA由GGA功能Revpbe-D3(BJ),B97-D3(BJ)和olyp-d3(bj)优于优异。我们注意到许多流行的方法,如B3LYP,不是我们建议的一部分。事实上,通过我们的结果,我们希望激发用户社区对普通DFT方法的看法的变化。我们还鼓励开发人员使用GMTKN55进行新方法的交叉验证研究。

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