Projects per year
Abstract
The effective independent-particle (mean-field) approximation of the Fermi-Hubbard Hamiltonian is described in a many-body basis to develop a formal comparison with the exact diagonalization of the full Fermi-Hubbard model using small atomic chain as test systems. This allows for the development of an intuitive understanding of the shortcomings of the mean-field approximation and how critical correlation effects are missed in this popular approach. The description in the many-body basis highlights a potential ambiguity related to the definition of the density of states. Specifically, satellite peaks are shown to emerge in the mean-field approximation, in departure from the common belief that they characterize correlation effects. The scheme emphasizes the importance of correlation and how different many-body corrections can improve the mean-field description. The pedagogical treatment is expected to make it possible for researchers to acquire an improved understanding of many-body effects as found in various areas related to the electronic properties of molecules and solids.
Original language | English |
---|---|
Article number | 075210 |
Journal | AIP Advances |
Volume | 13 |
Issue number | 7 |
DOIs | |
Publication status | Published - 12 Jul 2023 |
Keywords
- Many body problems
- Slater determinant
- Koopmans' theorem
- Hilbert space
- Mean field theory
- Hubbard model
- Green-functions technique
Fingerprint
Dive into the research topics of 'Mean-field approximation of the Fermi-Hubbard model expressed in a many-body basis'. Together they form a unique fingerprint.Projects
- 2 Finished
-
ACTOP-NOMENA: Active tuning of the optical properties of non-metallic nanoparticles
Honet, A. (PI) & Henrard, L. (Supervisor)
1/10/21 → 30/09/23
Project: Research
-
CÉCI – Consortium of high performance computing centers
CHAMPAGNE, B. (PI), Lazzaroni, R. (PI), Geuzaine , C. (CoI), Chatelain, P. (CoI) & Knaepen, B. (CoI)
1/01/18 → 31/12/22
Project: Research
Equipment
-
High Performance Computing Technology Platform
Champagne, B. (Manager)
Technological Platform High Performance ComputingFacility/equipment: Technological Platform