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MN15: A Kohn–Sham global-hybrid exchange–correlation density functional with broad accuracy for multi-reference and single-reference systems and noncovalent interactions

机译:MN15:Kohn-Sham全局-混合交换-相关密度函数对于多参考和单参考系统以及非共价相互作用具有广泛的准确性

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摘要

Kohn–Sham density functionals are widely used; however, no currently available exchange–correlation functional can predict all chemical properties with chemical accuracy. Here we report a new functional, called MN15, that has broader accuracy than any previously available one. The properties considered in the parameterization include bond energies, atomization energies, ionization potentials, electron affinities, proton affinities, reaction barrier heights, noncovalent interactions, hydrocarbon thermochemistry, isomerization energies, electronic excitation energies, absolute atomic energies, and molecular structures. When compared with 82 other density functionals that have been defined in the literature, MN15 gives the second smallest mean unsigned error (MUE) for 54 data on inherently multiconfigurational systems, the smallest MUE for 313 single-reference chemical data, and the smallest MUE on 87 noncovalent data, with MUEs for these three categories of 4.75, 1.85, and 0.25 kcal mol–1, respectively, as compared to the average MUEs of the other 82 functionals of 14.0, 4.63, and 1.98 kcal mol–1. The MUE for 17 absolute atomic energies is 7.4 kcal mol–1 as compared to an average MUE of the other 82 functionals of 34.6 kcal mol–1. We further tested MN15 for 10 transition-metal coordination energies, the entire S66x8 database of noncovalent interactions, 21 transition-metal reaction barrier heights, 69 electronic excitation energies of organic molecules, 31 semiconductor band gaps, seven transition-metal dimer bond lengths, and 193 bond lengths of 47 organic molecules. The MN15 functional not only performs very well for our training set, which has 481 pieces of data, but also performs very well for our test set, which has 823 data that are not in our training set. The test set includes both ground-state properties and molecular excitation energies. For the latter MN15 achieves simultaneous accuracy for both valence and Rydberg electronic excitations when used with linear-response time-dependent density functional theory, with an MUE of less than 0.3 eV for both types of excitations.
机译:Kohn-Sham密度泛函已被广泛使用。但是,当前没有可用的交换相关函数能够以化学准确性预测所有化学性质。在这里,我们报告了一种称为MN15的新功能,它的准确性比以前任何可用的功能都要广。参数化中考虑的性质包括键能,雾化能,电离能,电子亲和力,质子亲和力,反应势垒高度,非共价相互作用,烃热化学,异构化能,电子激发能,绝对原子能和分子结构。与文献中定义的82个其他密度泛函进行比较时,MN15给出了固有多配置系统上54个数据的第二最小平均无符号误差(MUE),313个单参考化学数据的最小MUE, 87个非共价数据,这三个类别的MUE分别为4.75、1.85和0.25 kcal mol -1 ,而其他82个功能的平均MUE分别为14.0、4.63和1.98 kcal mol –1 。 17个绝对原子能的MUE为7.4 kcal mol -1 ,而其他82个功能的平均MUE为34.6 kcal mol -1 。我们进一步测试了MN15的10种过渡金属配位能,整个S66x8非共价相互作用数据库,21种过渡金属反应势垒高度,69种有机分子的电子激发能,31个半导体带隙,7种过渡金属二聚体键长,以及193个键长为47个有机分子。 MN15功能不仅对于我们的训练集(拥有481条数据)表现非常出色,而且对于我们的测试集(具有823个不在我们的训练集中的数据)的表现也非常好。测试仪包括基态特性和分子激发能。对于后者,当与线性响应时间相关的密度泛函理论一起使用时,MN15可以同时实现化合价和里德伯格电子激发的精度,两种激发的MUE均小于0.3 eV。

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