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Coupling First-Principles Calculations of Electron–Electron and Electron–Phonon Scattering, and Applications to Carbon-Based Nanostructures

  • Ryan L. McAvoy
    Ryan L. McAvoy
    Institute for Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States
  • Marco Govoni*
    Marco Govoni
    Materials Science Division and Institute for Molecular Engineering, Argonne National Laboratory, Lemont, Illinois 60439, United States
    Institute for Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States
    *E-mail: [email protected] (M. Govoni).
    More by Marco Govoni
  • , and 
  • Giulia Galli*
    Giulia Galli
    Institute for Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States
    Materials Science Division and Institute for Molecular Engineering, Argonne National Laboratory, Lemont, Illinois 60439, United States
    Department of Chemistry, University of Chicago, Chicago, Illinois 60637, United States
    *E-mail: [email protected] (G. Giulia).
    More by Giulia Galli
Cite this: J. Chem. Theory Comput. 2018, 14, 12, 6269–6275
Publication Date (Web):October 15, 2018
https://doi.org/10.1021/acs.jctc.8b00728
Copyright © 2018 American Chemical Society

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    Abstract

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    We report first-principles calculations of electronic gaps, lifetimes, and photoelectron spectra of a series of molecules, performed by efficiently combining the computation of electron–electron and electron–phonon self-energies. The dielectric matrix is represented in terms of dielectric eigenpotentials, utilized for both the calculation of G0W0 quasi-particle energies and the diagonalization of the dynamical matrix; virtual electronic states are never explicitly computed and all self-energies are evaluated over the full frequency spectrum. Our formulation enables electronic structure calculations at the many-body perturbation theory level, inclusive of electron–phonon coupling, for systems with hundreds of electrons.

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    The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acs.jctc.8b00728.

    • Description of the Huang–Rhys spectra function; Figures S1–S5; computational details; computational savings (PDF)

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    Cited By

    This article is cited by 10 publications.

    1. Arpan Kundu, Giulia Galli. Quantum Vibronic Effects on the Electronic Properties of Molecular Crystals. Journal of Chemical Theory and Computation 2023, 19 (13) , 4011-4022. https://doi.org/10.1021/acs.jctc.3c00424
    2. Han Yang, Marco Govoni, Arpan Kundu, Giulia Galli. Computational Protocol to Evaluate Electron–Phonon Interactions Within Density Matrix Perturbation Theory. Journal of Chemical Theory and Computation 2022, 18 (10) , 6031-6042. https://doi.org/10.1021/acs.jctc.2c00579
    3. Victor Wen-zhe Yu, Marco Govoni. GPU Acceleration of Large-Scale Full-Frequency GW Calculations. Journal of Chemical Theory and Computation 2022, 18 (8) , 4690-4707. https://doi.org/10.1021/acs.jctc.2c00241
    4. Han Yang, Marco Govoni, Arpan Kundu, Giulia Galli. Combined First-Principles Calculations of Electron–Electron and Electron–Phonon Self-Energies in Condensed Systems. Journal of Chemical Theory and Computation 2021, 17 (12) , 7468-7476. https://doi.org/10.1021/acs.jctc.1c00605
    5. He Ma, Nan Sheng, Marco Govoni, Giulia Galli. Quantum Embedding Theory for Strongly Correlated States in Materials. Journal of Chemical Theory and Computation 2021, 17 (4) , 2116-2125. https://doi.org/10.1021/acs.jctc.0c01258
    6. Kade Head-Marsden, Johannes Flick, Christopher J. Ciccarino, Prineha Narang. Quantum Information and Algorithms for Correlated Quantum Matter. Chemical Reviews 2021, 121 (5) , 3061-3120. https://doi.org/10.1021/acs.chemrev.0c00620
    7. Pablo García-Risueño, Peng Han, Surender Kumar, Gabriel Bester. Frozen-phonon method for state anticrossing situations and its application to zero-point motion effects in diamondoids. Physical Review B 2023, 108 (12) https://doi.org/10.1103/PhysRevB.108.125403
    8. Marco Govoni, Jonathan Whitmer, Juan de Pablo, Francois Gygi, Giulia Galli. Code interoperability extends the scope of quantum simulations. npj Computational Materials 2021, 7 (1) https://doi.org/10.1038/s41524-021-00501-z
    9. Arpan Kundu, Marco Govoni, Han Yang, Michele Ceriotti, Francois Gygi, Giulia Galli. Quantum vibronic effects on the electronic properties of solid and molecular carbon. Physical Review Materials 2021, 5 (7) https://doi.org/10.1103/PhysRevMaterials.5.L070801
    10. Sijia S. Dong, Marco Govoni, Giulia Galli. Machine learning dielectric screening for the simulation of excited state properties of molecules and materials. Chemical Science 2021, 12 (13) , 4970-4980. https://doi.org/10.1039/D1SC00503K

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