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首页> 外文期刊>Journal of chemical theory and computation: JCTC >Parametrization of Atomic Energies to Improve Small Basis Set Density Functional Thermochemistry
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Parametrization of Atomic Energies to Improve Small Basis Set Density Functional Thermochemistry

机译:原子能的参数化,以改善小基础集密度泛函热化学

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Enthalpies of formation predicted with density functional theory and small basis sets can be greatly improved by treating the atomic energies as empirical parameters.When a variety of functionals and small basis sets are used,the root-mean-square error in enthalpies of formation is reduced by a factor of approximately two for the least improved functional/basis set pair,with significantly larger reductions for other functionals,especially LSDA.When the 3-21G~* and 3-21+G~* basis sets are used with nonempirical functionals,it is possible to achieve accuracy greater than that of PM3,which was primarily designed to reproduce enthalpies of formation.In addition to decreasing statistical errors,our procedure can also remove qualitative errors in density functional/basis set pairs that fail for the prediction of enthalpies of formation.
机译:通过将原子能作为经验参数,可以大大提高用密度泛函理论和小基集预测的结构焓。当使用各种泛函和小基集时,形成焓的均方根误差减小对于最不完善的功能/基础集对,其系数减少了大约两倍,而其他功能(尤其是LSDA)的减少幅度则更大。当将3-21G〜*和3-21 + G〜*基础集与非经验功能一起使用时,可能会获得比PM3更高的精度,后者主要是为了重现地层焓而设计的。除了减少统计误差外,我们的程序还可以消除密度函数/基集对中无法预测焓的定性误差。的形成。

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