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Dynamical screening in correlated electron systems-from lattice models to realistic materials
Philipp Werner1, Michele Casula2
1Department of Physics, University of Fribourg, Chemin du Musée 3, 1700 Fribourg, Switzerland.
This review details computational methods for understanding electron interactions in complex materials. It highlights advances in dynamical mean-field theory for strongly correlated systems.
Area of Science:
- Condensed Matter Physics
- Computational Materials Science
Background:
- Strongly correlated materials exhibit complex electronic behaviors due to electron-electron interactions.
- Understanding the dynamical nature of screened Coulomb interactions is crucial for predicting material properties.
Purpose of the Study:
- To review computational progress in treating dynamical screened Coulomb interactions.
- To focus on methods based on the dynamical mean-field approximation (DMFA).
Main Methods:
- Discussion of approximate and exact methods for solving impurity models with retarded interactions.
- Explanation of how these impurity models serve as auxiliary problems in DMFA extensions.
Main Results:
- Illustrates the current state of the field with recent applications.
- Presents results from U-V Hubbard models and correlated materials.
Conclusions:
- Dynamical mean-field approximation offers powerful tools for strongly correlated systems.
- Advanced computational schemes are essential for accurate predictions in condensed matter physics.
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