Particle–Particle Random Phase Approximation for Predicting Correlated Excited States of Point Defects
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 [<i>J. Phys. Chem. Lett.</i> 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<sub>B</sub>C<sub>N</sub>) in two-dimensional hexagonal boron nitride (h-BN). Starting from a density functional theory calculation of the (<i>N</i> - 2)-electron ground state, vertical excitation energies of the <i>N</i>-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
- Weitao Yang (ORCID: https://orcid.org/0000-0001-5576-2828)
- Tianyu Zhu (ORCID: https://orcid.org/0000-0003-2061-3237)
- Yu Jin (ORCID: https://orcid.org/0000-0002-6073-9953)
- Jiachen Li (ORCID: https://orcid.org/0000-0002-9863-1091)
- Jincheng Yu (ORCID: https://orcid.org/0000-0001-8487-5565)
Institutions
- Duke University (US)
- Yale University (US)
- University of Chicago (US)
Publication Details
- Journal
- Journal of Chemical Theory and Computation
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1021/acs.jctc.4c00829
- Citations
- 5
- Primary Topic
- Advanced Semiconductor Detectors and Materials
- Type
- article
- Field-Weighted Citation Impact
- 1.04
Funders
- National Science Foundation
- Yale University
- Midwest Integrated Center for Computational Materials