TL;DR
This paper introduces an efficient, graph-based computational framework for accurately modeling many-electron effects in x-ray spectra, improving interpretation of materials characterization data.
Contribution
It presents a non-diagrammatic, determinant-based approach combined with a breadth-first search algorithm to efficiently compute many-electron processes in x-ray spectra.
Findings
Accurately reproduces experimental x-ray spectra of transition metal oxides.
Demonstrates computational efficiency for extended systems.
Captures many-electron effects beyond traditional methods like Bethe-Salpeter.
Abstract
The growing interest in using x-ray spectroscopy for refined materials characterization calls for accurate electronic-structure theory to interpret x-ray near-edge fine structure. In this work, we propose an efficient and unified framework to describe all the many-electron processes in a Fermi liquid after a sudden perturbation (such as a core hole). This problem has been visited by the Mahan-Nozi\'eres-De Dominicis (MND) theory, but it is intractable to implement various Feynman diagrams within first-principles calculations. Here, we adopt a non-diagrammatic approach and treat all the many-electron processes in the MND theory on an equal footing. Starting from a recently introduced determinant formalism [Phys. Rev. Lett. 118, 096402 (2017)], we exploit the linear-dependence of determinants describing different final states involved in the spectral calculations. An elementary graph…
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