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基于密度矩阵嵌入理论的单离子磁体高效多组态量子化学方法。

Efficient Multiconfigurational Quantum Chemistry Approach to Single-Ion Magnets Based on Density Matrix Embedding Theory.

作者信息

Ai Yuhang, Sun Qiming, Jiang Hong

机构信息

Beijing National Laboratory for Molecular Sciences, Institute of Theoretical and Computational Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.

Axiomquant Investment Management LLC, Beijing 100871, China.

出版信息

J Phys Chem Lett. 2022 Nov 17;13(45):10627-10634. doi: 10.1021/acs.jpclett.2c02890. Epub 2022 Nov 9.

Abstract

Density matrix embedding theory (DMET) provides a systematic framework to combine low-level (e.g., Hartree-Fock approximation) and high-level correlated quantum chemistry methods to treat strongly correlated systems. In this work, we propose an efficient quantum embedding approach that combines DMET with the complete active space self-consistent field and subsequent state interaction treatment of spin-orbit coupling (CASSI-SO) and apply it to a theoretical description of single-ion magnets (SIMs). We have developed a novel regularized direct inversion of iterative subspace (R-DIIS) technique that ensures restricted open-shell Hartree-Fock converging to a physically correct ground state, which is found to be crucial for the efficacy of subsequent CASSI-SO calculation. The DMET+CASSI-SO approach can produce reliable zero-field splitting parameters in typical 3d-SIMs with dramatically reduced computational cost compared to its all-electron counterpart. This work therefore demonstrates the great potential of DMET-based multiconfigurational approaches for efficient study of magneto-structural correlations in complex molecular magnetic systems.

摘要

密度矩阵嵌入理论(DMET)提供了一个系统框架,用于结合低级(例如,Hartree-Fock近似)和高级相关量子化学方法来处理强相关系统。在这项工作中,我们提出了一种有效的量子嵌入方法,该方法将DMET与完全活性空间自洽场以及随后的自旋轨道耦合态相互作用处理(CASSI-SO)相结合,并将其应用于单离子磁体(SIM)的理论描述。我们开发了一种新颖的正则化迭代子空间直接反演(R-DIIS)技术,该技术可确保受限开壳Hartree-Fock收敛到物理上正确的基态,这对于后续CASSI-SO计算的有效性至关重要。与全电子方法相比,DMET + CASSI-SO方法可以在典型的3d-SIM中产生可靠的零场分裂参数,同时计算成本大幅降低。因此,这项工作证明了基于DMET的多组态方法在高效研究复杂分子磁系统中的磁结构相关性方面具有巨大潜力。

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