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The Hubbard dimer: a density functional case study of a many-body problem
D J Carrascal1, J Ferrer, J C Smith
1Department of Physics, Universidad de Oviedo, 33007 Oviedo, Spain. Nanomaterials and Nanotechnology Research Center, Oviedo, Spain.
Density functional theory (DFT) is explored using the two-site Hubbard model, revealing its successes and limitations in describing strongly correlated systems. Benchmark calculations highlight issues with the Kohn-Sham method for fundamental gaps.
Area of Science:
- Computational Chemistry
- Condensed Matter Physics
- Quantum Mechanics
Background:
- Density functional theory (DFT) is a powerful quantum mechanical method for electronic structure calculations.
- Strongly correlated models, like the Hubbard model, present challenges for standard DFT approximations.
- Understanding DFT's behavior in simplified, yet strongly correlated, systems is crucial for developing better functionals.
Purpose of the Study:
- To elucidate the relationship between density functional theory and strongly correlated models.
- To analyze the performance of DFT, including the Kohn-Sham (KS) method, on the two-site Hubbard model.
- To investigate the impact of asymmetry and correlation effects on DFT predictions.
Main Methods:
- Analytical solutions for the two-site Hubbard model to obtain exact ground-state energy and occupations.
- Levy-Lieb construction to parametrize the implicit density functional.
- Benchmark calculations of KS potentials, correlation kinetic energies, and the adiabatic connection.
- Testing of approximate functionals (Hartree-Fock, LDA) and analysis of the derivative discontinuity.
Main Results:
- The Kohn-Sham method fails to reproduce the fundamental gap in the two-site Hubbard model.
- Asymmetry introduces rich variations in behavior, highlighting interplay between correlation and charge-transfer.
- Approximate functionals show varying degrees of success and limitations in capturing model physics.
Conclusions:
- The two-site Hubbard model serves as an essential testbed for understanding DFT's fundamental aspects.
- The study demonstrates specific limitations of current DFT approximations for strongly correlated phenomena.
- Insights gained are valuable for the development of more accurate and robust DFT functionals.
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