GUGA-based MRCI approach with Core-Valence Separation Approximation (CVS) for the calculation of the Core-Excited States of molecules

Qi Song; Baoyuan Liu; Junfeng Wu; Wenli Zou; Yubin Wang; Bingbing Suo; Yibo Lei

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arXiv · 2311.08672

GUGA-based MRCI approach with Core-Valence Separation Approximation (CVS) for the calculation of the Core-Excited States of molecules

Qi Song·Baoyuan Liu·Junfeng Wu·Wenli Zou·Yubin Wang·Bingbing Suo·Yibo Lei

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Abstract

We develop and demonstrate how to use the GUGA-based MRCISD with Core-Valence Separation approximation (CVS) to compute the core-excited states. Firstly, perform a normal SCF or valence MCSCF calculation to optimize the molecular orbitals. Secondly, rotate the optimized target core orbitals and append to the active space, form an extended CVS active space, and perform a CVS-MCSCF calculation for core-excited states. Finally, construct the CVS-MRCI expansion space, and perform a CVS-MRCI calculation to optimize the CI coefficients based on the variational method. The CVS approximation with GUGA-based methods can be implemented by flexible truncation of the Distinct Row Table (DRT). Eliminating the valence-excited configurations from the CVS-MRCI expansion space can prevent variational collapse in the Davidson iteration diagonalization. The accuracy of the CVS-MRCI scheme was investigated for excitation energies and compared with that of the CVS-MCSCF method. The results show that CVS-MRCI is capable of reproducing well-matched vertical core excitation energies that are consistent with experiments, by combining large basis sets and a rational reference space. The calculation results also highlight the fact that the dynamic correlation between electrons makes an undeniable contribution in core-excited states.

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BibTeX RIS

Qi Song, Baoyuan Liu, Junfeng Wu, Wenli Zou, Yubin Wang, Bingbing Suo, Yibo Lei. 2023-11-15. GUGA-based MRCI approach with Core-Valence Separation Approximation (CVS) for the calculation of the Core-Excited States of molecules. https://arxiv.org/abs/2311.08672

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