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密度累积泛函理论的解析梯度:DCFT-06 模型。

Analytic gradients for density cumulant functional theory: the DCFT-06 model.

机构信息

Center for Computational Quantum Chemistry, University of Georgia, Athens, Georgia 30602, USA.

出版信息

J Chem Phys. 2012 Aug 7;137(5):054105. doi: 10.1063/1.4739423.

Abstract

Density cumulant functional theory (DCFT) is one of a number of nascent electron correlation methods that are derived from reduced density matrices and cumulants thereof, instead of the wavefunction. Deriving properties from the density cumulant naturally yields methods that are size extensive and size consistent. In this work, we derive expressions for the analytic gradient, with respect to an external perturbation, for the DCFT-06 variant of density cumulant functional theory. Despite the fact that the DCFT-06 energy functional is stationary with respect to the density cumulant, the analytic gradients of the energy require the solution of perturbation-independent equations for both orbital and cumulant response. These two sets of linear response equations are coupled in nature and are solved iteratively with the solution of orbital and cumulant response equations each macroiteration, exhibiting rapid convergence. The gradients are implemented and benchmarked against coupled cluster theory with single and double excitations (CCSD) and CCSD with perturbative triple excitations [CCSD(T)], as well as accurate empirically corrected experimental data, for a test set comprising 15 small molecules. For most of the test cases, results from DCFT-06 are closer to CCSD(T) and empirical data than those from CCSD. Although the total energy and analytic gradient have the same asymptotic scaling, the present experience shows that the computational cost of the gradient is significantly lower.

摘要

密度累积量泛函理论(DCFT)是由约化密度矩阵及其累积量而不是波函数衍生出的一系列新兴电子相关方法之一。从密度累积量中推导出性质,自然会得到大小扩展性和大小一致性的方法。在这项工作中,我们推导出了密度累积量泛函理论的 DCFT-06 变分密度累积量泛函的分析梯度的表达式。尽管 DCFT-06 能量泛函在密度累积量方面是稳定的,但能量的解析梯度需要为轨道和累积量响应求解独立于微扰的方程。这两套线性响应方程本质上是耦合的,并且在每个宏迭代中,与轨道和累积量响应方程的解一起迭代求解,表现出快速收敛性。梯度是针对一组包含 15 个小分子的测试集,与单激发和双激发耦合簇理论(CCSD)和包含微扰三激发的 CCSD(CCSD(T))以及准确的经验校正实验数据进行了实现和基准测试。对于大多数测试案例,DCFT-06 的结果比 CCSD 更接近 CCSD(T)和经验数据。尽管总能量和解析梯度具有相同的渐近标度,但目前的经验表明,梯度的计算成本要低得多。

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