密度泛函理论中的耦合簇嵌入在水环境中静态极化的应用。

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Anthuan Ferino-Pérez*,  and , Thomas-C. Jagau, 
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引用次数: 0

摘要

本文利用密度泛函量子嵌入理论中基于投影的耦合簇研究了水环境中有机分子的静态极化率。我们提出了计算超分子极化率的两种方法:迭代嵌入法和有限场法。用正则耦合簇单双(CCSD)理论对这些方法进行了性能测试。所研究的有机分子的静态极化张量随着水分子的加入而变化很小。迭代CCSD-in- dft方法产生的CCSD质量的各向同性极化率平均相对误差小于1.0%,且计算成本较低,而各向异性极化率没有得到很好的描述。环境处理中交换相关函数的选择对迭代嵌入结果的质量影响不大。另一方面,有限场方法的结果很大程度上依赖于密度泛函。当使用性能最好的泛函时,有限场方法得到的各向同性和各向异性极化率与CCSD非常吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Coupled-Cluster in Density Functional Theory Embedding Applied to Static Polarizabilities in Aqueous Environments

Coupled-Cluster in Density Functional Theory Embedding Applied to Static Polarizabilities in Aqueous Environments

Coupled-Cluster in Density Functional Theory Embedding Applied to Static Polarizabilities in Aqueous Environments

We present a study of static polarizabilities of organic molecules in aqueous environments using projection-based coupled-cluster in density functional theory quantum embedding. We propose two methods for the computation of supermolecular polarizabilities: an iterative embedding approach and a finite-field approach. The performance of these methods is tested against regular coupled-cluster singles and doubles (CCSD) theory. The static polarizability tensor of the investigated organic molecules varies only slightly with the inclusion of water molecules. The iterative CCSD-in-DFT approach produces isotropic polarizabilities of CCSD quality with mean relative errors smaller than 1.0% at a reduced computational cost, while the anisotropic polarizabilities are not as well described. The choice of the exchange correlation functional for the treatment of the environment has little impact on the quality of the iterative embedding results. On the other hand, the results of the finite-field approach heavily depend on the density functional. When the best performing functionals are used, the finite-field approach yields isotropic and anisotropic polarizabilities in very good agreement with CCSD.

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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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