30 November 2025 to 5 December 2025
Building 40, Room 153
Australia/Sydney timezone
AIP Summer Meeting 2025 - University of Wollongong

Subtraction of orbital self-interaction from the Kohn-Sham equations

2 Dec 2025, 17:45
15m
Building 67 (Room 107)

Building 67

Room 107

Contributed Oral Condensed Matter & Materials Condensed Matter & Materials

Speaker

John Ingall (The University of Newcastle, Australia)

Description

The effective design of new materials for sustainable energy conversion can be facilitated by the accurate prediction of electronic properties with moderate computational complexity and cost. The self-interaction error (SIE) of Kohn-Sham density functional theory (KS-DFT) is a non-physical, non-linear dependence of an orbital's energy on its own fractional occupation [Dabo et al., Phys. Rev. B, 82:115121, 2010]. The generalized Koopmans condition (GKC) ensures an atomic orbital's eigenenergy is invariant with its own fractional occupation, and is free of self-interaction. The constrained search of the Levy spin-density-functional theory yields orbital densities and delivers the ground-state energy in accordance with the Hohenberg-Kohn theorems. In this work, the electron density of the Kohn-Sham equations is thereby constrained to be orbital-density dependent, with a total energy functional linear with respect to variation of its orbital densities. That is, the KS multiplicative effective potential $v_{\text{s}}[{n}]$ for an orbital $\varphi_i[{n}]$ is constrained to a functional $v_{\text{eff}}[{n - n_i}]$. The result complies with the generalized Koopmans condition (GKC). Preliminary calculations show fundamental band gaps with an accuracy comparable to the $G_0W_0$ approximation of many-body perturbation theory (MBPT), with a level of complexity comparable to KS-DFT. In practice, software codes can be combined to remove SIE and to model composite material properties. With the subtraction of non-physical electron self-interaction from the Kohn-Sham equations, GKC-DFT can possibly improve computational efficiency, reduce the complexity of highly accurate DFT simulations, and facilitate the development of new applications.

Author

John Ingall (The University of Newcastle, Australia)

Co-author

Prof. Alister Page (The University of Newcastle, Australia)

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