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Updated: Apr 27, 2026

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Published on: May 27, 2020
Communication: the description of strong correlation within self-consistent Green's function second-order
Jordan J Phillips1, Dominika Zgid1
1Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.
This study introduces a new computational method for analyzing strong electron correlation in molecules. The self-consistent Green's function (GF2) approach accurately describes metal-insulator transitions without spin symmetry breaking.
Area of Science:
- Computational Chemistry
- Condensed Matter Physics
- Quantum Many-Body Theory
Background:
- Strong electron correlation poses significant challenges for traditional electronic structure methods.
- Accurate modeling of materials exhibiting strong correlation is crucial for understanding phenomena like metal-insulator transitions.
Purpose of the Study:
- To implement and validate a self-consistent Green's function many-body theory within a second-order approximation (GF2) for molecular systems.
- To assess the capability of the GF2 method in describing systems with strong electronic correlation.
Main Methods:
- Iterative solution of the Dyson equation in an atomic orbital basis.
- Utilizing imaginary frequency and imaginary time domains for Green's function and self-energy.
- Employing fast Fourier transforms for efficient data transformation.
Main Results:
- The GF2 method was applied to archetypal examples of strong correlation, including a H32 lattice with a multireference ground state.
- The GF2 approach successfully described metal-to-insulator transitions in these systems.
- The method provided physically meaningful results without requiring spin-symmetry breaking.
Conclusions:
- Self-consistent Green's function many-body theory (GF2) is a viable computational approach for studying strong correlation effects.
- The GF2 method offers a computationally tractable single-particle formalism for complex electronic systems.
- This implementation enables accurate descriptions of challenging electronic phenomena in molecular systems.
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