Haase Pi A B, Faber Rasmus, Provasi Patricio F, Sauer Stephan P A
Van Swinderen Institute, University of Groningen, Nijenborgh, 4, 9747AG, Groningen, The Netherlands.
Department of Chemistry, Technical University of Denmark, Kemitorvet, Bygning 207, 2800 Kgs. Lyngby, Denmark.
J Comput Chem. 2020 Jan 5;41(1):43-55. doi: 10.1002/jcc.26074. Epub 2019 Oct 1.
The second-order noniterative doubles-corrected random phase approximation (RPA) method has been extended to triplet excitation energies and the doubles-corrected higher RPA method as well as a shifted version for calculating singlet and triplet excitation energies are presented here for the first time. A benchmark set consisting of 20 molecules with a total of 117 singlet and 71 triplet excited states has been used to test the performance of the new methods by comparison with previous results obtained with the second-order polarization propagator approximation (SOPPA) and the third order approximate coupled cluster singles, doubles and triples model CC3. In general, the second-order doubles corrections to RPA and HRPA significantly reduce both the mean deviation as well as the standard deviation of the errors compared to the CC3 results. The accuracy of the new methods approaches the accuracy of the SOPPA method while using only 10-60% of the calculation time. © 2019 The Authors. Journal of Computational Chemistry published by Wiley Periodicals, Inc.
二阶非迭代双校正随机相位近似(RPA)方法已扩展至三重激发能,本文首次提出了双校正高阶RPA方法以及用于计算单重态和三重激发能的移位版本。通过与先前使用二阶极化传播子近似(SOPPA)和三阶近似耦合簇单双三模型CC3获得的结果进行比较,使用由20个分子组成的基准集(共117个单重激发态和71个三重激发态)来测试新方法的性能。总体而言,与CC3结果相比,RPA和HRPA的二阶双校正显著降低了误差的平均偏差和标准偏差。新方法的准确性接近SOPPA方法的准确性,同时仅使用10%-60%的计算时间。© 2019作者。《计算化学杂志》由Wiley Periodicals, Inc.出版