1. 11

    “Deriving Environmental Risk Profiles for Autonomous Vehicles From Simulated Trips”

    IEEE (2023).

  2. 10

    “Machine learning the derivative discontinuity of density-functional theory”

    Mach. Learn: Sci. Technol IOP (2021).

  3. 9

    “Exact exchange-correlation potentials for calculating the fundamental gap with a fixed number of electrons”

    Physical Review A 103 012806 (2021).

  4. 8

    “New approaches to study excited states in density functional theory”

    Royal Society of Chemistry Faraday Discussions (2020).

  5. 7

    “Challenges for large scale simulation”

    Royal Society of Chemistry Faraday Discussions (2020).

  6. 6

    “Insights into one-body density matrices using deep learning”

    Royal Society of Chemistry Faraday Discussions (2020).

  7. 5
  8. 4

    “Advantageous nearsightedness of many-body perturbation theory contrasted with Kohn-Sham density functional theory”

    Physical Review B 99 045129 (2019).

  9. 3

    “Accuracy of electron densities obtained via Koopmans-compliant hybrid functionals”

    Physical Review Materials (Rapid Communications) 2 040801(R) (2018).

  10. 2

    “GW self-screening error and its correction using a local density functional”

    Physical Review B (Rapid Communications) 97 121102(R) (2018).

  11. 1

    “Local density approximations from finite systems”

    Physical Review B 94 205134 (2016).

Other Publications