Particle–Particle Random Phase Approximation for Predicting Correlated Excited States of Point Defects
Year: 2024
Type: article
Abstract: The particle–particle random phase approximation (ppRPA) within the hole–hole channel was recently proposed as an efficient tool for computing excitation energies of point defects in solids [ J. Phys. Chem. Lett. 2024, 15, 2757–2764]. In this work, we investigate the application of ppRPA within the particle–particle channel for predicting correlated excited states of point defects, including the carbon-vacancy (VC) in diamond, the oxygen-vacancy (VO) in magnesium oxide (MgO), and the carbon dimer defect (C B C N ) in two-dimensional hexagonal boron nitride (h-BN). Starting from a density functional theory calculation of the ( N – 2)-electron ground state, vertical excitation energies of the N -electron system are obtained as the differences between the two-electron addition energies. We show that active-space ppRPA with the B3LYP functional yields accurate excitation energies, with errors mostly smaller than 0.1 eV for tested systems compared to available experimental values. We further develop a natural transition orbital scheme within ppRPA, which provides insights into the multireference character of defect states. This study, together with our previous work, establishes ppRPA as a low-cost and accurate method for investigating excited-state properties of point defect systems.
Authors: Jiachen Li, Yu Jin, Jincheng Yu, Weitao Yang, Tianyu Zhu
Institutions: Yale University, University of Chicago, Duke University
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Awards: G102163711, G1286251239, G2142261174, G2287611682, G262962599, Development and Applications of Density Functional Methods for Large Systems, CAREER: Many-Body Green's Function Framework for Materials Spectroscopy, G426311843, G498139845, G513797252, G5387317844, G6844610158, G6848031779, G6918803902, G7583137537, G8702430854, G969889393, G993149817
OpenAlex ID: W4402555413
