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A minimalistic approach to static and dynamic electron correlations: Amending generalized valence bond method with extended random phase approximation correlation correction

机译:静态和动态电子相关的一种简约方法:使用扩展的随机相位近似相关校正修正广义价键方法

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摘要

A perfect-pairing generalized valence bond (GVB) approximation is known to be one of the simplest approximations, which allows one to capture the essence of static correlation in molecular systems. In spite of its attractive feature of being relatively computationally efficient, this approximation misses a large portion of dynamic correlation and does not offer sufficient accuracy to be generally useful for studying electronic structure of molecules. We propose to correct the GVB model and alleviate some of its deficiencies by amending it with the correlation energy correction derived from the recently formulated extended random phase approximation (ERPA). On the examples of systems of diverse electronic structures, we show that the resulting ERPA-GVB method greatly improves upon the GVB model. ERPA-GVB recovers most of the electron correlation and it yields energy barrier heights of excellent accuracy. Thanks to a balanced treatment of static and dynamic correlation, ERPA-GVB stays reliable when one moves from systems dominated by dynamic electron correlation to those for which the static correlation comes into play. Published by AIP Publishing.
机译:完美对的广义价键(GVB)逼近是最简单的逼近之一,它使人们能够捕捉分子系统中静态相关性的本质。尽管其具有相当高的计算效率的吸引人的特征,但这种近似忽略了很大一部分的动态相关性,并且没有提供足够的精度以普遍用于研究分子的电子结构。我们建议对GVB模型进行校正,并通过使用从最近制定的扩展随机相位近似(ERPA)导出的相关能量校正对GVB模型进行修正来缓解其不足。在各种电子结构的系统示例中,我们证明了所得的ERPA-GVB方法大大改进了GVB模型。 ERPA-GVB恢复了大多数电子相关性,并产生了极高的精度能垒。由于静态和动态相关性得到了平衡处理,当从动态电子相关性主导的系统转移到静态相关性发挥作用的系统中时,ERPA-GVB保持可靠。由AIP Publishing发布。

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