Many-Body Methods for Real Materials
Lecture notes of the Autumn School on Correlated Electrons 2019
- Xavier Blase
Introduction to Density Functional Theory
- Xinguo Ren
The Random Phase Approximation and its Application to Real Materials
- Cyrus Umrigar
Introduction to Variational and Projector Monte Carlo
- Arne Lüchow
Optimized Quantum Monte Carlo Wave Functions
- Federico Becca
Variational Wave Functions for Strongly Correlated Fermionic Systems
- Shiwei Zhang
Auxiliary-Field Quantum Monte Carlo at Zero- and Finite-Temperature
- Erik Koch
Exact Diagonalization and Lanczos Method
- Miles Stoudenmire
Quantum Chemistry DMRG in a Local Basis
- Karen Hallberg
Density Matrix Renormalization
- Marcelo Rozenberg
Dynamical Mean-Field Theory and Mott Transition
- Eva Pavarini
Dynamical Mean-Field Theory for Materials
- Robert Eder
Analytic Properties of Self-Energy and Luttinger-Ward Functional
- James Freericks
Introduction to Many-Body Green Functions In and Out Of Equilibrium
- Andrea Donarini
Electronic Transport in Correlated Single Molecule Junctions
- Nikolay Prokof'ev
Diagrammatic Monte Carlo
- Anders Sandvik
Stochastic Series Expansion Methods
- Gerardo Ortiz
Algebraic Methods in Many-Body Physics
OpenAccess Book
The lecture notes have been published as a book:
Eva Pavarini, Erik Koch, and Shiwei Zhang (eds.)
Many-Body Methods for Real Materials
Modeling and Simulation, Vol. 9
Verlag des Forschungszentrum Jülich, 2019
ISBN 978-3-95806-400-3
Autumn School on Correlated Electrons
Overview of the Schools in the Series