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Implementation of analytic gradients for CCSD and EOM-CCSD using Cholesky decomposition of the electron-repulsion integrals and their derivatives: Theory and benchmarks

机译:CCSD和EOM-CCSD的分析梯度的实施使用Cholesky对电子排斥积分的分解及其衍生物:理论和基准

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We present a general formulation of analytic nuclear gradients for the coupled-cluster with single and double substitution (CCSD) and equation-of-motion (EOM) CCSD energies computed using Cholesky decomposition (CD) representations of the electron repulsion integrals. By rewriting the correlated energy and response equations such that the storage of the largest four-index intermediates is eliminated, CD leads to a significant reduction in disk storage requirements, reduced I/O penalties, and an improved parallel performance. CD thus extends the scope of the systems that can be treated by (EOM-)CCSD methods, although analytic gradients in the framework of CD are needed to extend the applicability of (EOM-)CCSD methods in the context of geometry optimizations. This paper presents a formulation of analytic (EOM-)CCSD gradient within the CD framework and reports on the salient details of the corresponding implementation. The accuracy and the capabilities of analytic CD-based (EOM-)CCSD gradients are illustrated by benchmark calculations and several illustrative examples.
机译:我们对单一和双替换(CCSD)的耦合簇(CCSD)和等方程式(EOM)CCSD能量使用电子排斥量积分的耦合核(EOM)CCSD能量进行了一般性的分析核梯度。通过重写相关的能量和响应方程,使得消除了最大的四指数中间体的存储,CD导致磁盘存储要求的显着降低,减少了I / O惩罚,以及改善的并行性能。因此,CD扩展了可以通过(EOM-)CCSD方法可以治疗的系统的范围,尽管需要CD框架中的分析梯度来扩展(EOM-)CCSD方法在几何优化的上下文中的适用性。本文介绍了CD框架内的分析(EOM-)CCSD梯度的制定,并报告了相应实施的突出细节。基于CD基(EOM-)CCSD梯度的准确性和能力由基准计算和几个说明性示例说明。

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