Density functional theory for core-level X-ray absorption
Seokkyu An, Taisuke Ozaki
TL;DR
This work develops a formally rigorous DFT framework for core-level X-ray absorption spectroscopy by anchoring core-excited states to Gunnarsson–Lundqvist constrained-search principles and implementing an explicit-core ΔSCF with a penalty projector to achieve shift-free absolute edge alignment. It introduces a selection-rule–aware basis (SRB) that reformulates the dipole matrix element, reducing the computational scaling from $O(N^4)$ to $O(N^3)$ while preserving accuracy and enabling efficient, site-resolved XAS in large systems. The combination of GL-based variational theory, the core-occupancy penalty, and the SRB-derived dipole formulation yields robust predictions of line shapes, polarization anisotropies, and absolute onsets for C, B, O, and Li K-edges in both molecules and solids, without reliance on empirical energy shifts. The approach significantly improves scalability and reliability of first-principles XAS simulations in DFT, with potential extensions to L/M edges, non-collinear magnetism, and multiple core excitations, thereby broadening the applicability of XAS modeling to complex materials and large supercells.
Abstract
We establish a rigorous density functional theory (DFT) framework for core-level X-ray absorption spectroscopy (XAS) by formulating a constrained search for core-excited states based on the Gunnarsson-Lundqvist theorem. Within this framework, the explicit-core Delta SCF scheme enables shift-free absolute edge alignment and a consistent treatment of L/M edges with spin-orbit-resolved projectors. In addition, by exploiting dipole selection rules, we recast the evaluation of the dipole matrix elements, which otherwise requires many independent Slater determinant calculations, into a compact single determinant form. This reduces the computational scaling from $\mathcal{O}(N^4)$ to $\mathcal{O}(N^3)$, where $N$ is the number of electrons, without introducing additional approximations. Across representative C, B, O, and Li K-edge benchmarks in molecules and solids, the method reproduces line shapes, polarization anisotropies, and absolute onsets without empirical shifts, providing a robust and scalable route to quantitatively reliable XAS simulations within DFT.
