Folkestad Sarai Dery, Matveeva Regina, Høyvik Ida-Marie, Koch Henrik
Department of Chemistry, The Norwegian University of Science and Technology, Trondheim 7491, Norway.
J Chem Theory Comput. 2022 Aug 9;18(8):4733-4744. doi: 10.1021/acs.jctc.2c00261. Epub 2022 Jul 20.
We present a trust-region optimization of the Edmiston-Ruedenberg orbital localization function. The approach is used to localize both the occupied and the virtual orbitals and is the first demonstration of general virtual orbital localization using the Edmiston-Ruedenberg localization function. In the Edmiston-Ruedenberg approach, the sum of the orbital self-repulsion energies is maximized to obtain the localized orbitals. The Cholesky decomposition reduces the cost of transforming the electron repulsion integrals, and the overall scaling of our implementation is . The optimization is performed with all quantities in the molecular orbital basis, and the localization of the occupied orbitals is often less expensive than the corresponding self-consistent field (SCF) optimization. Furthermore, the occupied orbital localization scales linearly with the basis set. For the virtual space, the cost is significantly higher than the SCF optimization. The orbital spreads of the resulting virtual Edmiston-Ruedenberg orbitals are larger than for other, less expensive, orbital localization functions. This indicates that other localization procedures are more suitable for applications such as local post-Hartree-Fock calculations.
我们提出了一种对埃德米斯顿-鲁登伯格轨道定域化函数的信赖域优化方法。该方法用于占据轨道和虚拟轨道的定域化,并且是首次使用埃德米斯顿-鲁登伯格定域化函数进行一般虚拟轨道定域化的证明。在埃德米斯顿-鲁登伯格方法中,轨道自排斥能的总和被最大化以获得定域化轨道。Cholesky分解降低了变换电子排斥积分的成本,我们实现的总体计算量为 。优化是在分子轨道基组下对所有量进行的,占据轨道的定域化通常比相应的自洽场(SCF)优化成本更低。此外,占据轨道定域化与基组大小呈线性比例关系。对于虚拟空间,成本明显高于SCF优化。由此得到的虚拟埃德米斯顿-鲁登伯格轨道的轨道展宽比其他成本较低的轨道定域化函数更大。这表明其他定域化程序更适合用于诸如局部后哈特里-福克计算等应用。