Category:Constrained-random-phase approximation: Difference between revisions
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== Theoretical Background == | == Theoretical Background == | ||
The constrained random phase approximation (CRPA) is a method that allows to calculate the effective interaction parameter U, J and J' for model Hamiltonians. | The constrained random-phase approximation (CRPA) is a method that allows to calculate the effective interaction parameter U, J and J' for model Hamiltonians. | ||
The main idea is to neglect screening effects of specific '''target states''' in the screened Coulomb interaction W of the [[The GW approximation of Hedin's equations|GW method]]. | The main idea is to neglect screening effects of specific '''target states''' in the screened Coulomb interaction W of the [[The GW approximation of Hedin's equations|GW method]]. | ||
The resulting partially screened Coulomb interaction is usually evaluated in a localized basis that spans the target space and is described by the model Hamiltonian. | The resulting partially screened Coulomb interaction is usually evaluated in a localized basis that spans the target space and is described by the model Hamiltonian. | ||
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More information about CRPA is found on following page: | More information about CRPA is found on following page: | ||
[[Constrained random phase approximation]] | [[Constrained random-phase approximation]] | ||
== How to == | == How to == | ||
Revision as of 06:58, 7 April 2022
All tags and articles that deal with CRPA calculations are members of this category.
Theoretical Background
The constrained random-phase approximation (CRPA) is a method that allows to calculate the effective interaction parameter U, J and J' for model Hamiltonians. The main idea is to neglect screening effects of specific target states in the screened Coulomb interaction W of the GW method. The resulting partially screened Coulomb interaction is usually 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.
More information about CRPA is found on following page:
Constrained random-phase approximation
How to
Pages in category "Constrained-random-phase approximation"
The following 7 pages are in this category, out of 7 total.