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On the challenge to improve the density response with unusual gradient approximations

机译:在提高不寻常梯度近似的挑战中提高密度响应

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摘要

Certain excitations, especially ones of long-range charge transfer character, are poorly described by time-dependent density functional theory (TDDFT) when typical (semi-)local functionals are used. A proper description of these excitations would require an exchange-correlation response differing substantially from the usual (semi-) local one. It has recently been shown that functionals of the generalized gradient approximation (GGA) type can yield unusual potentials, mimicking features of the exact exchange derivative discontinuity and showing divergences on orbital nodal surfaces. We here investigate whether these unusual potential properties translate into beneficial response properties. Using the Sternheimer formalism we closely investigate the response obtained with the 2013 exchange approximation by Armiento and Kummel (AK13) and the 1988 exchange approximation by Becke (B88), both of which show divergences on orbital nodal planes. Numerical calculations for Na-2 as well as analytical and numerical calculations for the hydrogen atom show that the response of AK13 behaves qualitatively different from usual semi-local functionals. However, the AK13 functional leads to fundamental instabilities in the asymptotic region that prevent its practical application in TDDFT. Our findings may help the development of future improved functionals. They also corroborate that the frequency-dependent Sternheimer formalism is excellently suited for running and analyzing TDDFT calculations.
机译:当使用典型的(半)局部泛函时,某些激发,尤其是具有长程电荷转移特性的激发,用含时密度泛函理论(TDDFT)描述得很差。对这些激励的正确描述需要一个与通常的(半)局部响应大不相同的交换相关响应。最近的研究表明,广义梯度近似(GGA)类型的泛函可以产生不寻常的势,模仿精确交换导数不连续性的特征,并在轨道节点表面上显示发散。我们在此研究这些不寻常的潜在特性是否转化为有益的响应特性。我们使用Sternheimer形式主义仔细研究了Arminto和Kummel(AK13)的2013年交换近似和Becke(B88)的1988年交换近似得到的响应,这两种近似都显示了轨道节面上的发散。对Na-2的数值计算以及对氢原子的分析和数值计算表明,AK13的响应在性质上不同于通常的半局域泛函。然而,AK13泛函在渐近区域导致了基本的不稳定性,这阻碍了它在TDDFT中的实际应用。我们的发现可能有助于未来改进泛函的发展。他们还证实,频率相关的Sternheimer形式非常适合运行和分析TDDFT计算。

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