Many-body corrections in self-consistent field approaches to X-ray spectroscopy simulations

ORAL · Invited

Abstract

X-ray spectroscopy provides unrivaled element-specifc chemical information on materials and their interfaces, with relevance to device physics, surface chemistry, and materials functionality. Interpretation of such measurements can be challenging due to a lack of spectral fingerprints, particularly in the case of operando measurements. Accurate excited-state electronic structure methods have been key to unravelling the underlying physics and chemistry present in measured spectra and, concomitantly, these experiments test our ability to derive representative models that are accurate and computationally efficient, within existing theoretical frameworks. For example, density functional theory can be used to model core-excited states self-consistently with constrained orbital occupancies (so-called core-hole approaches) implying a single-determinant approximation for excited states. We have explored this implication explicitly to reveal the importance of many-electron contributions to X-ray transition amplitudes, beyond single-particle approximations [1,2]. Initial results revealed the importance of such many-body contributions in adjusting the intensities of X-ray absorption features at the absorption onset and showed that in certain cases single-particle transitions alone cannot reproduce experimental findings. More recently, the many-body approach has been extended to X-ray emission [3] and Resonant Inelastic X-ray Scattering (when coupled with many-body perturbation theory) [4]. Our most recent findings indicate significant benefits in terms of accuracy and physical insight when using the core-excited orbital representation within the many-body framework [5].

* This work was carried out at The Molecular Foundry (TMF), Lawrence Berkeley National Laboratory (LBNL). Financial support for this work was provided by the Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. Computational work was performed using the supercomputing resources of the National Energy Research Scientific Computing Center (NERSC) and TMF clusters managed by the High Performance Computing Services Group, at LBNL.

Publication: [1] Yufeng Liang, John Vinson, S. C. Pemmaraju, Walter S. Drisdell, Eric L. Shirley, David Prendergast, Phys. Rev. Lett. 118, 096402 (2017).
[2] Yufeng Liang and David Prendergast, Physical Review B 97, 205127 (2018).
[3] Subhayan Roychoudhury, Leonardo A. Cunha, Martin Head-Gordon, and David Prendergast Phys. Rev. B 106, 075133 (2022).
[4] Subhayan Roychoudhury and David Prendergast, Phys. Rev. B 106, 115115 (2022).
[5] Subhayan Roychoudhury and David Prendergast, Phys. Rev. B 107, 035146 (2023)

Presenters

  • David Prendergast

    Lawrence Berkeley National Laboratory

Authors

  • David Prendergast

    Lawrence Berkeley National Laboratory