Mishra Prakash, Yamamoto Yoh, Chang Po-Hao, Nguyen Duyen B, Peralta Juan E, Baruah Tunna, Zope Rajendra R
Computational Science Program, University of Texas at El Paso, El Paso, Texas 79968, United States.
Department of Physics, University of Texas at El Paso, El Paso, Texas 79968, United States.
J Phys Chem A. 2022 Mar 31;126(12):1923-1935. doi: 10.1021/acs.jpca.1c10354. Epub 2022 Mar 18.
We examine the role of self-interaction error (SIE) removal on the evaluation of magnetic exchange coupling constants. In particular, we analyze the effect of scaling down the self-interaction correction (SIC) for three density functional approximations (DFAs) namely, the local spin density approximation, the Perdew-Burke-Ernzerhof generalized gradient approximation, and the recent SCAN family of meta-GGA functionals. To this end, we employ three one-electron SIC methods: Perdew-Zunger SIC [Perdew, J. P.; Zunger, A. , 1981, 23, 5048.], the orbitalwise scaled SIC method [Vydrov, O. A. et al. 2006, 124, 094108.], and the recent local scaling method [Zope, R. R. et al. 2019, 151, 214108.]. We compute the magnetic exchange coupling constants using the spin projection and nonprojection approaches for sets of molecules composed of dinuclear and polynuclear H···He models, organic radical molecules, and chlorocuprate and compare these results against accurate theories and experiment. Our results show that for the systems that mainly consist of single-electron regions, PZSIC performs well, but for more complex organic systems and the chlorocuprates, an overcorrecting tendency of PZSIC combined with the DFAs utilized in this work is more pronounced, and in such cases, LSIC with kinetic energy density ratio performs better than PZSIC. Analysis of the results in terms of SIC corrections to the density and to the total energy shows that both density and energy correction are required to obtain an improved prediction of magnetic exchange couplings.
我们研究了消除自相互作用误差(SIE)在磁交换耦合常数评估中的作用。具体而言,我们分析了对三种密度泛函近似(DFA)即局域自旋密度近似、佩德韦-伯克-恩泽尔霍夫广义梯度近似以及最近的SCAN系列元广义梯度近似函数,按比例缩小自相互作用校正(SIC)的影响。为此,我们采用了三种单电子SIC方法:佩德韦-宗格SIC[佩德韦,J.P.;宗格,A.,1981,23,5048。]、轨道缩放SIC方法[维德罗夫,O.A.等人,2006,124,094108。]以及最近的局域缩放方法[佐普,R.R.等人,2019,151,214108。]。我们使用自旋投影和非投影方法,针对由双核和多核H···He模型、有机自由基分子以及氯铜酸盐组成的分子集计算磁交换耦合常数,并将这些结果与精确理论和实验进行比较。我们的结果表明,对于主要由单电子区域组成的体系,佩德韦-宗格SIC表现良好,但对于更复杂的有机体系和氯铜酸盐,佩德韦-宗格SIC与本文所使用的DFA相结合的过度校正趋势更为明显,在这种情况下,具有动能密度比的局域缩放SIC比佩德韦-宗格SIC表现更好。根据对密度和总能量的SIC校正对结果进行分析表明,为了获得对磁交换耦合的改进预测,密度和能量校正都是必需的。