A Core-Valence Separated Similarity Transformed EOM-CCSD Method for Core-excitation Spectra
Santosh Ranga, and Achintya Kumar Dutta

TL;DR
This paper introduces a new core-valence separated similarity transformed EOM-CCSD method for calculating K-edge core excitation spectra, improving convergence and reducing computational cost while maintaining accuracy.
Contribution
The paper develops a CVS-STEOM-CCSD method that overcomes convergence issues and lowers computational costs compared to standard approaches for core excitation spectra.
Findings
CVS-STEOM-CCSD achieves similar accuracy to CVS-EOM-CCSD.
The method reduces computational cost for core excitation calculations.
Demonstrated effectiveness on glycine and thymine spectra.
Abstract
We present the theory and implementation of a core-valence separated similarity transformed EOM-CCSD (STEOM-CCSD) method for K-edge core excitation spectra. The method can select an appropriate active space using CIS natural orbitals and near black box to use. The second similarity transformation Hamiltonian is diagonalized in the space of single excitation. Therefore, the final diagonalization step is free from the convergence problem arising because of the coupling of the core-excited states with the continuum of doubly excited states. Convergence trouble can appear for the preceding core-ionized states calculation in STEOM-CCSD. A core-valence separation scheme (CVS) compatible with the natural orbital based active space selection has been implemented to overcome the problem. The CVS-STEOM-CCSD has similar accuracy as that of the standard CVS-EOM-CCSD method but comes with a lower…
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