4.7 Article

Spin-Flip Pair-Density Functional Theory: A Practical Approach To Treat Static and Dynamical Correlations in Large Molecules

期刊

JOURNAL OF CHEMICAL THEORY AND COMPUTATION
卷 17, 期 5, 页码 2906-2916

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jctc.1c00121

关键词

-

资金

  1. U.S. Department of Energy [DE-SC0018326]
  2. U.S. Department of Energy (DOE) [DE-SC0018326] Funding Source: U.S. Department of Energy (DOE)

向作者/读者索取更多资源

A practical approach is presented for treating static and dynamical correlation in large multiconfigurational systems accurately. The method utilizes the spin-flip approach for static correlation and explores the use of on-top pair-density functional theory for dynamical correlation. The performance of the approach is demonstrated by computing energy gaps between ground and excited states for various challenging open-shell molecular systems.
We present a practical approach to treat static and dynamical correlation accurately in large multiconfigurational systems. The static correlation is taken into account by using the spin-flip approach, which is well-known for capturing static correlation accurately at low-computational expense. Unlike previous approaches to add dynamical correlation to spin-flip models which use perturbation theory or coupled-cluster theory, we explore the ability to use the on-top pair-density functional theory approaches recently developed by Gagliardi and co-workers (J. Comput. Theor. Chem., 2014, 10, 3669). External relaxations are performed in the spin-flip calculations through a restricted active space framework for which a truncation scheme for the orbitals used in the external excitation is presented. The performance of the approach is demonstrated by computing energy gaps between ground and excited states for diradicals, triradicals, and linear polyacene chains ranging from naphthalene to dodecacene. Accurate results are obtained using the new approach for these challenging open-shell molecular systems.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据