Correlated Materials: Methods and Applications
Lecture notes of the Autumn School on Correlated Electrons 2026
- Eva Pavarini
Dynamical Mean-Field Theory for Materials
- Xavier Gonze
Constrained Density-Functional Theory: Formalism, Algorithms and Applications
- Robert Eder
Green Functions and Self-Energy Functionals
- Erik Koch
Exact Diagonalization and Lanczos Method
- Ulrich Schollwöck
DMRG as Impurity Solver
- Riccardo Rossi
Diagrammatic Monte Carlo for the Hubbard Model
- Walter Metzner
Mean-Field Theory of Spin and Charge Order in the Two-Dimensional Hubbard Model
- Cécile Repellin
Introduction to Topological Phases in Condensed Matter
- Carsten Timm
Ginzburg-Landau Theory of Superconductivity
- Anna Böhmer
Experimental Characterization of Phase Transitions
- Markus Grüninger
From Mott to Cluster Mott: Probing Correlations with RIXS
- Matteo Mitrano
Light Control of Many-Body Phases
- Luca Tocchio
Variational Monte Carlo for the Hubbard Model
- Annabelle Bohrdt
Neural Quantum States for Strongly Correlated Systems
- Benedikt Fauseweh
Quantum Many-Body Simulations on Digital Quantum Computers
OpenAccess Book
The lecture notes have been published as a book:
Eva Pavarini and Erik Koch (eds.)
Correlated Materials: Methods and Applications
Modeling and Simulation, Vol. 16
Verlag des Forschungszentrum Jülich, 2026
ISBN 978-3-95806-908-4
Autumn School on Correlated Electrons
Overview of the Schools in the Series