Conditional probability density functional theory

ORAL

Abstract

We present conditional probability (CP) density functional theory (DFT) as a formally exact theory. In essence, CP-DFT determines the ground-state energy of a system by finding the CP density from a sequence of Kohn-Sham (KS) calculations. Unlike standard KS-DFT, which relies on an accurate exchange-correlation (XC) functional to extract energies, CP-DFT only requires accurate self-consistent densities. A simple CP-DFT approximation yields usefully accurate results for two-electron ions and the hydrogen dimer. CP-DFT has no self-interaction error for one electron, and correctly dissociates H2, both major challenges in standard KS-DFT.

*R.J.M. supported by University of California President’s Postdoctoral Fellowship, K.B. and D.P. by DOE DE-FG02- 08ER46496, R.P. and S.R.W by DOE DE-SC0008696, and R.E. by Leverhulme Trust EM 2020-029/4.

Presenters

  • Ryan Pederson

    • University of California, Irvine

Authors

  • Ryan J. McCarty

    • University of California, Irvine
  • Dennis R Perchak

    • University of California, Irvine
  • Ryan Pederson

    • University of California, Irvine
  • Robert Evans

    • H H Wills Physics Laboratory, University of Bristol
  • Yiheng Qiu

    • University of California, Irvine
  • Steven Robert White

    • University of California, Irvine
    • UC Irvine
  • Kieron Burke

    • University of California, Irvine