Hybrid Diagonal Approximation in Time-Dependent Auxiliary Density Functional Theory

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Kevin O. Pérez-Becerra, Jesús N. Pedroza-Montero, Mark R. Pederson, Luis I. Hernández-Segura, Andreas M. Köster
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Abstract

A hybrid diagonal approximation (HDA) for time-dependent auxiliary density functional theory (TD-ADFT) is presented. This newly implemented method allows the use of global and range-separated hybrid functionals in TD-ADFT for the calculation of vertical excitation energies and corresponding oscillator strengths. To preserve the exceptional computational efficiency and low-order scaling of TD-ADFT, only the diagonal elements of exact exchange are included in the TD-ADFT matrices. For singlet excitations, this approximation reaches accuracies comparable to four-center electron repulsion integral (ERI) implementations, albeit with a fraction of the computational cost. For triplet excitations, larger deviations are found with the HDA. Despite additional integral calculations, the low-order scaling of TD-ADFT is preserved with the HDA. We explain this by the intact index alignment between the ERIs and the excitation vectors, which remains unaltered in TD-ADFT with the HDA.

Abstract Image

时变辅助密度泛函理论中的混合对角逼近
提出了一种时变辅助密度泛函理论(TD-ADFT)的混合对角近似(HDA)。这种新实现的方法允许在TD-ADFT中使用全局和距离分离的混合泛函来计算垂直激励能和相应的振荡器强度。为了保持TD-ADFT优越的计算效率和低阶标度,在TD-ADFT矩阵中只包含精确交换的对角元素。对于单线态激发,这种近似达到了与四中心电子排斥积分(ERI)实现相当的精度,尽管计算成本只是一小部分。对于三重态激发,HDA有较大的偏差。尽管额外的积分计算,TD-ADFT的低阶尺度保留与HDA。我们通过ERIs和激励向量之间完整的索引对齐来解释这一点,这在使用HDA的TD-ADFT中保持不变。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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