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Particle-Particle Random Phase Approximation for Predicting Correlated Excited States of Point Defects.

Publication ,  Journal Article
Li, J; Jin, Y; Yu, J; Yang, W; Zhu, T
Published in: Journal of chemical theory and computation
September 2024

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 (CBCN) 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.

Duke Scholars

Published In

Journal of chemical theory and computation

DOI

EISSN

1549-9626

ISSN

1549-9618

Publication Date

September 2024

Related Subject Headings

  • Chemical Physics
  • 3407 Theoretical and computational chemistry
  • 3406 Physical chemistry
  • 0803 Computer Software
  • 0601 Biochemistry and Cell Biology
  • 0307 Theoretical and Computational Chemistry
 

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Li, J., Jin, Y., Yu, J., Yang, W., & Zhu, T. (2024). Particle-Particle Random Phase Approximation for Predicting Correlated Excited States of Point Defects. Journal of Chemical Theory and Computation. https://doi.org/10.1021/acs.jctc.4c00829
Li, Jiachen, Yu Jin, Jincheng Yu, Weitao Yang, and Tianyu Zhu. “Particle-Particle Random Phase Approximation for Predicting Correlated Excited States of Point Defects.Journal of Chemical Theory and Computation, September 2024. https://doi.org/10.1021/acs.jctc.4c00829.
Li J, Jin Y, Yu J, Yang W, Zhu T. Particle-Particle Random Phase Approximation for Predicting Correlated Excited States of Point Defects. Journal of chemical theory and computation. 2024 Sep;
Li, Jiachen, et al. “Particle-Particle Random Phase Approximation for Predicting Correlated Excited States of Point Defects.Journal of Chemical Theory and Computation, Sept. 2024. Epmc, doi:10.1021/acs.jctc.4c00829.
Li J, Jin Y, Yu J, Yang W, Zhu T. Particle-Particle Random Phase Approximation for Predicting Correlated Excited States of Point Defects. Journal of chemical theory and computation. 2024 Sep;
Journal cover image

Published In

Journal of chemical theory and computation

DOI

EISSN

1549-9626

ISSN

1549-9618

Publication Date

September 2024

Related Subject Headings

  • Chemical Physics
  • 3407 Theoretical and computational chemistry
  • 3406 Physical chemistry
  • 0803 Computer Software
  • 0601 Biochemistry and Cell Biology
  • 0307 Theoretical and Computational Chemistry