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Accurately predicting electron affinities with Koopmans spectral functionals

ORAL

Abstract

Density functional theory (DFT) is a popular method for electronic-structure calculations. But while Kohn-Sham eigenvalues can loosely mirror experimental quasiparticle energies, there is formally no connection between the two (except for the HOMO in exact DFT). Furthermore, the presence of self-interaction errors in semi-local DFT can make those eigenvalues an even poorer proxy for quasiparticle energies [1].

This talk will discuss Koopmans spectral functionals, an efficient approach for recovering spectral properties in a beyond-DFT formulation at very little additional computational cost [2-4]. They have already been shown to lead to accurate molecular ionization potentials [5], and I will present the latest results, including accurate predictions of molecular electron affinities in the GW100 set [6].

[1] Cohen et al., Science, 321, 792 (2008).
[2] Dabo et al., Phys. Rev. B, 82, 115121 (2010).
[3] Borghi et al., Phys. Rev. B 90, 075135 (2014).
[4] Nguyen et al., Phys. Rev. X, 8, 021051 (2018).
[5] Colonna et al., J. Chem. Theory Comput., 15, 1905 (2019).
[6] van Setten et al., J. Chem. Theory Comput., 11, 5565 (2015).

Presenters

  • Edward Linscott

    École Polytechnique Fédérale de Lausanne

Authors

  • Edward Linscott

    École Polytechnique Fédérale de Lausanne

  • Nicola Colonna

    Paul Scherrer Institut, Paul Scherrer Institut (PSI), Laboratory for Neutron Scattering and Imaging, and National Center for Computational Design and Discovery of Novel Materials (MARVEL), Paul Scherrer Institute (PSI)

  • Riccardo De Gennaro

    École Polytechnique Fédérale de Lausanne, École Polytechnique Fédérale de Lausanne (EPFL), Theory and Simulations of Materials (THEOS), and National Center for Computational Design and Discovery of Novel Materials (MARVEL), Ecole Polytechnique Federale de Lausanne

  • Nicola Marzari

    Ecole Polytechnique Federale de Lausanne, Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), Ecole Polytechnique Federale de Lausanne, École Polytechnique Fédérale de Lausanne, Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), Ecole Polytechnique Federale de Lausanne,, Theory and Simulation of Materials (THEOS), Faculté des Sciences et Techniques de l’Ingénieur, École Polytechnique Fédérale de Lausanne, THEOS, EPFL, École Polytechnique Fédérale de Lausanne (EPFL), Theory and Simulation of Materials (THEOS) and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne (E, Theory and Simulation of Materials (THEOS), and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), EPFL, CH-1015 Lausanne, Switzerland, Theory and simulation of materials (THEOS), National Centre for Computational Design and Discovery of Novel Materials (MARVEL), EPFL, Materials Engineering, EPFL, Theory and Simulations of Materials (THEOS), and National Center for Computational Design and Discovery of Novel Materials (MARVEL), Ecole Polytechnique Federale de Lausanne