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Laplacian-dependent models of the kinetic energy density: Applications in subsystem density functional theory with meta-generalized gradient approximation functionals

机译:拉普拉斯依赖的动能密度模型:应用   子元素密度泛函理论与元广义梯度   近似函数

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摘要

The development of semilocal models for the kinetic energy density (KED) isan important topic in density functional theory (DFT). This is especially truefor subsystem DFT, where these models are necessary to construct the requirednon-additive embedding contributions. In particular, these models can also beefficiently employed to replace the exact KED in meta-Generalized GradientApproximation (meta-GGA) exchange-correlation functionals allowing to extendthe subsystem DFT applicability to the meta-GGA level of theory. Here, wepresent a two-dimensional scan of semilocal KED models as linear functionals ofthe reduced gradient and of the reduced Laplacian, for atoms and weakly-boundmolecular systems. We find that several models can perform well but in any casethe Laplacian contribution is extremely important to model the local featuresof the KED. Indeed a simple model constructed as the sum of Thomas-Fermi KEDand 1/6 of the Laplacian of the density yields the best accuracy for atoms andweakly-bound molecular systems. These KED models are tested within subsystemDFT with various meta-GGA exchange-correlation functionals for non-bondedsystems, showing a good accuracy of the method.
机译:动能密度(KED)的半局部模型的发展是密度泛函理论(DFT)的重要课题。对于子系统DFT尤其如此,在这些子系统中,必须使用这些模型来构造所需的非加性嵌入贡献。尤其是,这些模型也可以有效地用于替代亚通用广义梯度近似(meta-GGA)交换相关函数中的精确KED,从而将子系统DFT的适用性扩展到理论的meta-GGA级别。在这里,我们对原子和弱束缚分子系统,将半局部KED模型进行二维扫描,作为缩减梯度和缩减拉普拉斯算子的线性函数。我们发现几种模型可以很好地执行,但是在任何情况下,拉普拉斯贡献对于建模KED的局部特征都非常重要。确实,一个简单的模型由Thomas-Fermi KED和密度的Laplacian的1/6的总和构成,对于原子和弱束缚的分子系统而言,其精度最高。这些KED模型已在subsystemDFT中针对非绑定系统使用了各种meta-GGA交换关联功能进行了测试,显示了该方法的良好准确性。

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