首页> 外文期刊>The Journal of Chemical Physics >Basis set convergence of CCSD(T) equilibrium geometries using a large and diverse set of molecular structures
【24h】

Basis set convergence of CCSD(T) equilibrium geometries using a large and diverse set of molecular structures

机译:使用大量多样的分子结构来设置CCSD(T)平衡几何的基集收敛

获取原文
获取原文并翻译 | 示例
           

摘要

We examine the basis set convergence of the CCSD(T) method for obtaining the structures of the 108 neutral first-and second-row species in the W4-11 database (with up to five non-hydrogen atoms). This set includes a total of 181 unique bonds: 75 H-X, 49 X-Y, 43 X equivalent to Y, and 14 X equivalent to Y bonds (where X and Y are first-and second-row atoms). As reference values, geometries optimized at the CCSD(T)/aug'-cc-pV(6+d)Z level of theory are used. We consider the basis set convergence of the CCSD(T) method with the correlation consistent basis sets cc-pV(n+d) Z and aug'-cc-pV(n+d) Z (n = D, T, Q, 5) and the Weigend-Ahlrichs def2-nZVPP basis sets (n = T, Q). For each increase in the highest angular momentum present in the basis set, the root-mean-square deviation (RMSD) over the bond distances is decreased by a factor of similar to 4. For example, the following RMSDs are obtained for the cc-pV(n+d) Z basis sets 0.0196 (D), 0.0050 (T), 0.0015 (Q), and 0.0004 (5)angstrom. Similar results are obtained for the aug'-cc-pV(n+ d) Z and def2-nZVPP basis sets. The double-zeta and triple-zeta quality basis sets systematically and significantly overestimate the bond distances. A simple and cost-effective way to improve the performance of these basis sets is to scale the bond distances by an empirical scaling factor of 0.9865 (cc-pV(D+d) Z) and 0.9969 (cc-pV(T+ d) Z). This results in RMSDs of 0.0080 (scaled cc-pV(D+d) Z) and 0.0029 (scaled cc-pV(T+ d) Z)angstrom. The basis set convergence of larger basis sets can be accelerated via standard basis-set extrapolations. In addition, the basis set convergence of explicitly correlated CCSD(T)-F12 calculations is investigated in conjunction with the cc-pVnZ-F12 basis sets (n = D, T). Typically, one "gains" two angular momenta in the explicitly correlated calculations. That is, the CCSD(T)-F12/cc-pVnZ-F12 level of theory shows similar performance to the CCSD(T)/cc-pV(n+ 2) Z level of theory. In particular, the following RMSDs are obtained for the cc-pVnZ-F12 basis sets 0.0019 (D) and 0.0006 (T)angstrom. Overall, the CCSD(T)-F12/cc-pVDZ-F12 level of theory offers a stellar price-performance ratio and we recommend using it when highly accurate reference geometries are needed (e.g., in composite ab initio theories such as W4 and HEAT). Published by AIP Publishing.
机译:我们检查了CCSD(T)方法的基集收敛性,以获取W4-11数据库中的108个中性第一行和第二行物种的结构(最多包含五个非氢原子)。该组包括总共181个唯一键:75个H-X,49个X-Y,相当于Y的43个X和相当于Y键的14个X(其中X和Y是第一和第二行原子)。作为参考值,使用在CCSD(T)/ aug'-cc-pV(6 + d)Z理论水平上优化的几何形状。我们考虑CCSD(T)方法的基集收敛性与相关一致基集cc-pV(n + d)Z和aug'-cc-pV(n + d)Z(n = D,T,Q, 5)和Weigend-Ahlrichs def2-nZVPP基集(n = T,Q)。对于基集中存在的最高角动量的每一次增加,键距上的均方根偏差(RMSD)都会降低约4倍。例如,对于cc-,可以获得以下RMSD pV(n + d)Z基组为0.0196(D),0.0050(T),0.0015(Q)和0.0004(5)埃。对于aug'-cc-pV(n + d)Z和def2-nZVPP基集也获得了相似的结果。双Zeta和三Zeta质量基础系统地设置并明显高估了键距。改善这些基集性能的一种简单且经济高效的方法是,以0.9865(cc-pV(D + d)Z)和0.9969(cc-pV(T + d)Z)的经验缩放因子缩放键距。 )。这导致RMSD为0.0080(标度cc-pV(D + d)Z)和0.0029(标度cc-pV(T + d)Z)埃。较大的基础集的基础集收敛可以通过标准的基础集外推来加速。此外,结合cc-pVnZ-F12基集(n = D,T),研究了显式相关CCSD(T)-F12计算的基集收敛。通常,在显式相关的计算中,一个“获得”两个角动量。也就是说,CCSD(T)-F12 / cc-pVnZ-F12的理论水平显示出与CCSD(T)/ cc-pV(n + 2)Z的理论水平相似的性能。特别是,对于cc-pVnZ-F12基集0.0019(D)和0.0006(T)埃,获得了以下RMSD。总体而言,CCSD(T)-F12 / cc-pVDZ-F12的理论水平提供了出色的性价比,我们建议在需要高度精确的参考几何体时使用它(例如,在W4和HEAT等复合从头算中) )。由AIP Publishing发布。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号