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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)局部功能时,某些激励,尤其是远程电荷传递特征的长距离电荷传递特征,典型的密度泛函理论(TDDFT)很差。对这些激励的正确描述将需要交换相关响应与通常(半)本地的交换相关响应不同。最近已经表明,广义梯度近似(GGA)类型的功能可以产生不寻常的电位,模拟精确的交换衍生物不连续性的特征,并在轨道节点表面上显示分歧。我们在这里调查这些不寻常的潜在属性是否转化为有益的响应属性。使用Sternheimer形式主义我们密切研究了Armiento和Kummel(AK13)的2013年交换近似获得的响应,并由BECKE(B88)的1988年交换近似,这两者都在轨道节点平面上显示了分歧。 Na-2的数值计算以及氢原子的分析和数值计算,表明Ak13的响应与通常的半局部功能定性不同。然而,AK13功能导致渐近区域的基本稳定性,防止其在TDDFT中的实际应用。我们的调查结果可能有助于开发未来改进的功能。它们还证实了频率依赖的终身形式正式主义非常适合运行和分析TDDFT计算。

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