首页> 外文期刊>International Journal of Quantum Chemistry >Benchmarking anisotropic polarizabilities for 14 (hetero)-aromatic molecules at RPA, RPA(D), HRPA, HRPA(D), SOPPA, SOPPA(CC2), SOPPA(CCSD), CC2, CCSD and CC3 levels
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Benchmarking anisotropic polarizabilities for 14 (hetero)-aromatic molecules at RPA, RPA(D), HRPA, HRPA(D), SOPPA, SOPPA(CC2), SOPPA(CCSD), CC2, CCSD and CC3 levels

机译:用于14(杂差) - 甘氨酸摩拉,RPA(CCA,SOPPA,SOPPA,SOPPA(CC2,CC3 LEVS和CC3 LEC3的基准测试

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A benchmark of anisotropic polarizabilities has been carried out for 14 (hetero)-aromatic molecules using the methods: RPA, RPA(D), HRPA, HRPA(D), SOPPA, SOPPA(CC2), SOPPA(CCSD), CC2, CCSD and CC3. While this benchmark, to a large extend, shows similar tendencies as found for isotropic polarizabilities, it also reveals some differences between isotropic and anisotropic polarizabilities. CCSD is found to be the method performing closest to CC3 as it also was for isotropic polarizabilities. For static anisotropic polarizabilities SOPPA(CCSD) performs incredibly close to CCSD, however, the less demanding HRPA(D) follows shortly after in precision. For dynamic anisotropic polarizabilities SOPPA(CCSD) is again the method least deviating from CC3, beside CCSD, but its SD is worse than for RPA, which gives results only slightly more deviating from the CC3 results than SOPPA(CCSD). While the HRPA model is seen to perform incomparably worse than any of the other methods, the simpler RPA is on the other hand thus performing notably well. The finding of this good performance of the relatively simpler and cheaper methods, RPA and HRPA(D), permits calculation of much larger systems without sacrificing the quality of the calculation.
机译:用RPA、RPA(D)、HRPA、HRPA(D)、SOPPA、SOPPA(CC2)、SOPPA(CCSD)、CC2、CCSD和CC3等方法对14个(杂)芳香族分子进行了各向异性极化率基准测试。虽然这个基准在很大程度上显示出与各向同性极化率相似的趋势,但它也揭示了各向同性极化率和各向异性极化率之间的一些差异。CCSD被发现是最接近CC3的方法,因为它也适用于各向同性极化率。对于静态各向异性极化率,SOPPA(CCSD)的性能非常接近CCSD,然而,要求较低的HRPA(D)在精度上紧随其后。对于动态各向异性极化率,除了CCSD外,SOPPA(CCSD)也是与CC3偏差最小的方法,但其SD比RPA差,后者给出的结果与CC3结果的偏差仅略大于SOPPA(CCSD)。虽然HRPA模型的性能比其他任何方法都差,但相对简单的RPA则表现得非常好。RPA和HRPA(D)这两种相对简单和廉价的方法的这种良好性能的发现,允许在不牺牲计算质量的情况下计算更大的系统。

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