首页> 外文期刊>The journal of physical chemistry, A. Molecules, spectroscopy, kinetics, environment, & general theory >Renormalized Coupled Cluster Approaches in the Cluster-in-Molecule Framework: Predicting Vertical Electron Binding Energies of the Anionic Water Clusters (H_2O)_n~?
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Renormalized Coupled Cluster Approaches in the Cluster-in-Molecule Framework: Predicting Vertical Electron Binding Energies of the Anionic Water Clusters (H_2O)_n~?

机译:分子团簇框架中的归一化耦合团簇方法:预测阴离子水团簇(H_2O)_n〜?的垂直电子键合能。

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摘要

Anionic water clusters are generally considered to be extremely challenging to model using fragmentation approaches due to the diffuse nature of the excess electron distribution. The local correlation coupled cluster (CC) framework cluster-in-molecule (CIM) approach combined with the completely renormalized CR-CC(2,3) method [abbreviated CIM/CR-CC(2,3)] is shown to be a viable alternative for computing the vertical electron binding energies (VEBE). CIM/CR-CC(2,3) with the threshold parameter ζ set to 0.001, as a trade-off between accuracy and computational cost, demonstrates the reliability of predicting the VEBE, with an average percentage error of ~15% compared to the full ab initio calculation at the same level of theory. The errors are predominantly from the electron correlation energy. The CIM/CRCC(2,3) approach provides the ease of a black-box type calculation with few threshold parameters to manipulate. The cluster sizes that can be studied by high-level ab initio methods are significantly increased in comparison with full CC calculations. Therefore, the VEBE computed by the CIM/CR-CC(2,3) method can be used as benchmarks for testing model potential approaches in small-to-intermediate-sized water clusters.
机译:由于过度电子分布的扩散性质,阴离子水簇通常被认为对使用碎片化方法进行建模极具挑战性。局部相关耦合聚类(CC)框架分子内聚类(CIM)方法与完全重新规范化的CR-CC(2,3)方法[缩写为CIM / CR-CC(2,3)]相结合显示为一种计算垂直电子结合能(VEBE)的可行选择。 CIM / CR-CC(2,3)的阈值参数ζ设置为0.001,这是精度和计算成本之间的折衷,证明了预测VEBE的可靠性,与之相比,平均误差为〜15%。在相同理论水平上进行完整的从头算起。误差主要来自电子相关能。 CIM / CRCC(2,3)方法简化了黑匣子类型的计算,几乎没有要操纵的阈值参数。与完全CC计算相比,可以通过高级从头算方法研究的簇大小显着增加。因此,通过CIM / CR-CC(2,3)方法计算出的VEBE可用作测试中小型水团簇中模型潜在方法的基准。

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