Departamento de Química, Cinvestav, Av. IPN 2508, Colonia San Pedro Zacatenco 07360, México D.F. 07360, México.
J Chem Phys. 2012 Apr 14;136(14):144115. doi: 10.1063/1.3701132.
Though there is fevered effort on orbital-dependent approximate exchange-correlation functionals, generalized gradient approximations, especially the Perdew-Burke-Ernzerhof (PBE) form, remain the overwhelming choice in calculations. A simple generalized gradient approximation (GGA) exchange functional [A. Vela, V. Medel, and S. B. Trickey, J. Chem. Phys. 130, 244103 (2009)] was developed that improves substantially over PBE in energetics (on a typical test set) while being almost as simple in form. The improvement came from constraining the exchange enhancement factor to be below the Lieb-Oxford bound for all but one value of the exchange dimensionless gradient, s, and to go to the uniform electron gas limit at both s = 0 and s → ∞. Here we discuss the issue of asymptotic constraints for GGAs and show that imposition of the large s constraint, lim(s→∞)s(1/2)F(xc)(n,s)<∞, where F(xc)(n, s) is the enhancement factor and n is the electron density, upon the Vela-Medel-Trickey (VMT) exchange functional yields modest further improvement. The resulting exchange functional, denoted VT{8,4}, is only slightly more complicated than VMT and easy to program. Additional improvement is obtained by combining VT{8,4} or VMT exchange with the Lee-Yang-Parr correlation functional. Extensive computational results on several datasets are provided as verification of the overall performance gains of both versions.
尽管在轨道相关的近似交换相关泛函和广义梯度近似方面进行了激烈的研究,但广义梯度近似,尤其是 Perdew-Burke-Ernzerhof(PBE)形式,仍然是计算中压倒性的选择。我们开发了一种简单的广义梯度近似(GGA)交换泛函[Vela、Medel 和 Trickey,J. Chem. Phys. 130, 244103(2009)],在能量学方面(在典型的测试集上)大大优于 PBE,同时形式也几乎相同。改进来自于限制交换增强因子低于 Lieb-Oxford 边界,除了交换无维梯度 s 的一个值外,并且在 s = 0 和 s → ∞ 时都趋于均匀电子气极限。在这里,我们讨论 GGA 的渐近约束问题,并表明在 Vela-Medel-Trickey(VMT)交换泛函上施加大 s 约束 lim(s→∞)s(1/2)F(xc)(n,s)<∞,其中 F(xc)(n, s)是增强因子,n 是电子密度,会对 VMT 交换泛函产生适度的进一步改进。所得交换泛函,记为 VT{8,4},仅比 VMT 稍微复杂一些,易于编程。通过将 VT{8,4}或 VMT 交换与 Lee-Yang-Parr 相关泛函相结合,可以获得额外的改进。提供了多个数据集的广泛计算结果,以验证这两种版本的整体性能提高。