Particle-Particle Random Phase Approximation for Predicting Correlated Excited States of Point Defects
Jiachen Li, Yu Jin, Jincheng Yu, Weitao Yang, Tianyu Zhu

TL;DR
This paper demonstrates that particle-particle RPA within the particle-particle channel, starting from DFT calculations, accurately predicts excited states of point defects in solids with low computational cost.
Contribution
It introduces the application of particle-particle RPA in the particle-particle channel for defect excited states and develops a natural transition orbital scheme for better insight.
Findings
Active-space ppRPA with B3LYP yields errors <0.1 eV.
Accurate excitation energies for various defect systems.
Provides insights into the multireference character of defect states.
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 (CC) in two-dimensional hexagonal boron nitride (h-BN). Starting from a density functional theory calculation of the ()-electron ground state, vertical excitation energies of the -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…
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Taxonomy
TopicsSurface Roughness and Optical Measurements · Electron and X-Ray Spectroscopy Techniques · Integrated Circuits and Semiconductor Failure Analysis
