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Performance of numerical basis set DFT for aluminum clusters

机译:铝簇的数值基集DFT的性能

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摘要

We have investigated and compared the ability of numerical and Gaussian-type basis sets combined with density functional theory (DFT) to accurately describe the geometries, binding energies, and electronic properties of aluminum clusters, Al12XHn (X = Al, Si; n = 0, 1, 2). DFT results are compared against high-level benchmark calculations and experimental data where available. Properties compared include geometries, binding energies, ionization potentials, electron affinities, and HOMO-LUMO gaps. Generally, the PBE functional with the double numerical basis set with polarization (DNP) performs very well against experiment and the analytical basis sets for considerably less computational expense.
机译:我们已经研究并比较了数值和高斯型基集与密度泛函理论(DFT)相结合的能力,以准确地描述铝团簇Al12XHn(X = Al,Si; n = 0 ,1、2)。将DFT结果与可用的高级基准计算和实验数据进行比较。比较的特性包括几何形状,结合能,电离势,电子亲和力和HOMO-LUMO间隙。通常,具有带极化的双数值基础集(DNP)的PBE功能相对于实验和分析基础集的性能非常好,从而大大减少了计算费用。

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