Benchmark of $\boldsymbol{GW}$ Methods for Core-Level Binding Energies
Jiachen Li, Ye Jin, Patrick Rinke, Weitao Yang, Dorothea Golze

TL;DR
This paper benchmarks various $GW$ methods for calculating core-level binding energies, identifying the most accurate approaches with mean errors below 0.2 eV compared to experimental data.
Contribution
It provides a comprehensive comparison of different $GW$ schemes for core-level energies, highlighting the most accurate methods for molecular inner-shell excitations.
Findings
Three $GW$ schemes outperform others with 0.3 eV MAE.
Eigenvalue self-consistency and Hedin shift yield errors <0.2 eV.
All methods produce consistent relative binding energies.
Abstract
The approximation has recently gained increasing attention as a viable method for the computation of deep core-level binding energies as measured by X-ray photoelectron spectroscopy (XPS). We present a comprehensive benchmark study of different methodologies (starting-point optimized, partial and full eigenvalue-self-consistent, Hedin shift and renormalized singles) for molecular inner-shell excitations. We demonstrate that all methods yield a unique solution and apply them to the CORE65 benchmark set and ethyl trifluoroacetate. Three schemes clearly outperform the other methods for absolute core-level energies with a mean absolute error of 0.3 eV with respect to experiment. These are partial eigenvalue self-consistency, in which the eigenvalues are only updated in the Green's function, single-shot calculations based on an optimized hybrid functional starting point…
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Taxonomy
TopicsElectron and X-Ray Spectroscopy Techniques · Advanced Chemical Physics Studies · Machine Learning in Materials Science
