Category:Constrained-random-phase approximation: Difference between revisions
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Revision as of 09:05, 21 February 2024
The constrained random-phase approximation (CRPA) is a method that allows the calculation of the effective interaction parameter [math]\displaystyle{ U }[/math], [math]\displaystyle{ J }[/math], and [math]\displaystyle{ J' }[/math] for model Hamiltonians. The main idea is to neglect the screening effects of specific target states in the screened Coulomb interaction [math]\displaystyle{ W }[/math] of the GW method. The resulting partially screened Coulomb interaction is evaluated in a localized basis that spans the target space and is described by the model Hamiltonian. The target space is usually low-dimensional and therefore allows for the application of a higher-level theory, such as dynamical-mean-field theory (DMFT).
More information about CRPA is found on the following page:
Pages in category "Constrained-random-phase approximation"
The following 21 pages are in this category, out of 21 total.