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使用佩德韦-宗格方法和局部缩放自相互作用校正方法对水团簇的偶极极化率和电离能进行密度泛函预测时的自相互作用误差研究。

Study of self-interaction errors in density functional predictions of dipole polarizabilities and ionization energies of water clusters using Perdew-Zunger and locally scaled self-interaction corrected methods.

作者信息

Akter Sharmin, Yamamoto Yoh, Diaz Carlos M, Jackson Koblar A, Zope Rajendra R, Baruah Tunna

机构信息

Computational Science Program, The University of Texas at El Paso, El Paso, Texas 79968, USA.

Department of Physics, University of Texas at El Paso, El Paso, Texas 79968, USA.

出版信息

J Chem Phys. 2020 Oct 28;153(16):164304. doi: 10.1063/5.0025601.

Abstract

We studied the effect of self-interaction error (SIE) on the static dipole polarizabilities of water clusters modeled with three increasingly sophisticated, non-empirical density functional approximations (DFAs), viz., the local spin density approximation (LDA), the Perdew-Burke-Ernzerhof (PBE) generalized-gradient approximation (GGA), and the strongly constrained and appropriately normed (SCAN) meta-GGA, using the Perdew-Zunger self-interaction-correction (PZ-SIC) energy functional in the Fermi-Löwdin orbital SIC framework. Our results show that while all three DFAs overestimate the cluster polarizabilities, the description systematically improves from LDA to PBE to SCAN. The self-correlation free SCAN predicts polarizabilities quite accurately with a mean absolute error (MAE) of 0.53 bohr with respect to coupled cluster singles and doubles (CCSD) values. Removing SIE using PZ-SIC correctly reduces the DFA polarizabilities, but overcorrects, resulting in underestimated polarizabilities in SIC-LDA, SIC-PBE, and SIC-SCAN. Finally, we applied a recently proposed locally scaled SIC (LSIC) method using a quasi self-consistent scheme and using the kinetic energy density ratio as an iso-orbital indicator. The results show that the LSIC polarizabilities are in excellent agreement with mean absolute errors of 0.08 bohr for LSIC-LDA and 0.06 bohr for LSIC-PBE with most recent CCSD polarizabilities. Likewise, the ionization energy estimates as absolute of highest occupied energy eigenvalue predicted by LSIC are also in excellent agreement with CCSD(T) ionization energies with MAEs of 0.4 eV for LSIC-LDA and 0.06 eV for LSIC-PBE. The LSIC-LDA predictions of ionization energies are comparable to the reported GW ionization energies, while the LSIC-PBE ionization energies are more accurate than the reported GW results.

摘要

我们研究了自相互作用误差(SIE)对水团簇静态偶极极化率的影响,这些水团簇采用三种日益复杂的非经验密度泛函近似(DFA)进行建模,即局部自旋密度近似(LDA)、佩德韦-伯克-恩泽尔霍夫(PBE)广义梯度近似(GGA)和强约束与适当归一化(SCAN)元GGA,采用费米-洛丁轨道自相互作用校正(PZ-SIC)能量泛函在费米-洛丁轨道SIC框架内进行研究。我们的结果表明,虽然所有三种DFA都高估了团簇极化率,但从LDA到PBE再到SCAN,描述系统地得到了改善。无自相关的SCAN预测极化率相当准确,相对于耦合簇单双激发(CCSD)值的平均绝对误差(MAE)为0.53玻尔。使用PZ-SIC消除SIE正确地降低了DFA极化率,但校正过度,导致SIC-LDA、SIC-PBE和SIC-SCAN中的极化率被低估。最后,我们应用了最近提出的局部缩放SIC(LSIC)方法,该方法采用准自洽方案,并使用动能密度比作为等轨道指标。结果表明,LSIC极化率与最新CCSD极化率的平均绝对误差在LSIC-LDA中为0.08玻尔,在LSIC-PBE中为0.06玻尔,两者吻合得非常好。同样,LSIC预测的作为最高占据能量本征值绝对值的电离能也与CCSD(T)电离能吻合得非常好,LSIC-LDA的MAE为0.4 eV,LSIC-PBE的MAE为0.06 eV。LSIC-LDA对电离能的预测与报道的GW电离能相当,而LSIC-PBE的电离能比报道的GW结果更准确。

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