"Ensemblization" of density functional theory
Tim Gould, Leeor Kronik, Stefano Pittalis
TL;DR
The work develops ensemble density functional theory (EDFT) as a rigorous extension of standard DFT to handle degenerate ground states, fractional electron numbers, and excited states, by introducing the concept of ensemblization. It builds a coherent five-step framework that starts from explicit state averaging, moves through a unified Hartree–exchange derivation via a fluctuation-dissipation theorem, and culminates in a practical, orbital-optimized implementation using state-resolved, symmetry-adapted CSFs. A key contribution is the decomposition of Hxc into Hartree and exchange components via first-principles definitions, and the identification of two types of correlation in ensembles: state-driven (sd) and density-driven (dd), with tailored approximations for each. The approach is validated with illustrative examples (e.g., fractional electrons, excited states, and double excitations) and extended to recent advances like pEDFT and GX24, demonstrating significant improvements over traditional DFT and TDDFT for challenging cases, with practical pathways toward applications in chemistry and materials science.
Abstract
Density functional theory (DFT) has transformed our ability to investigate and understand electronic ground states. In its original formulation, however, DFT is not suited to addressing (e.g.) degenerate ground states, mixed states with different particle numbers, or excited states. All these issues can be handled, in principle exactly, via ensemble DFT (EDFT). This Perspective provides a detailed introduction to and analysis of EDFT, in an in-principle exact framework that is constructed to avoid uncontrolled errors and inconsistencies that may be associated with {\it ad hoc} extensions of conventional DFT. In particular, it focuses on the "ensemblization" of both exact and approximate density functionals, a term we coin to describe a rigorous approach that lends itself to the construction of novel approximations consistent with the general ensemble framework, yet applicable to practical problems where traditional DFT tends to fail or does not apply at all. Specifically, symmetry considerations and ensemble properties are shown to enable each other in shaping a practical DFT-based methodology that extends beyond the ground state and, in doing so, highlights the need to look outside the standard ground state Kohn-Sham treatment.
