Accurate prediction of core-level spectra of radicals at density functional theory cost via square gradient minimization and recoupling of mixed configurations
Diptarka Hait, Eric A. Haugen, Zheyue Yang, Katherine J. Oosterbaan,, Stephen R. Leone, Martin Head-Gordon

TL;DR
This paper introduces a reliable method using square gradient minimization to predict core-level spectra of radicals with high accuracy at DFT cost, overcoming variational collapse issues and recoupling mixed configurations for better results.
Contribution
It develops a recoupling scheme for mixed configurations from orbital optimized DFT, enabling accurate prediction of core-level spectra for doublet radicals, surpassing traditional methods.
Findings
High accuracy (≤0.3 eV RMS error) for excitation energies from core to singly occupied levels.
Recoupling mixed configurations improves prediction of doublet core-level spectra.
Guidelines provided for computing core-excited states using orbital optimized DFT.
Abstract
State-specific orbital optimized approaches are more accurate at predicting core-level spectra than traditional linear-response protocols, but their utility had been restricted on account of the risk of `variational collapse' down to the ground state. We employ the recently developed square gradient minimization (SGM, J. Chem. Theory Comput. 16, 1699-1710, 2020) algorithm to reliably avoid variational collapse and study the effectiveness of orbital optimized density functional theory (DFT) at predicting second period element 1s core-level spectra of open-shell systems. Several density functionals (including SCAN, B3LYP and B97X-D3) are found to predict excitation energies from the core to singly occupied levels to high accuracy ( eV RMS error), against available experimental data. Higher excited states are however more challenging by virtue of being intrinsically…
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