Recordings of all the sessions are available here
- Session 1: Introduction to 2D materials (recording and slides)
- Session 2: Superconductivity in 2D materials (recording and slides)
- Session 3: Magnetic 2D materials (recording and slides)
- Session 4: Moire electronic states and twisted van der Waals heterostructures (recording and slides)
- Session 5: Topological states in 2D materials (recording and slides)
All the interactive exercise sessions available at
https://github.com/joselado/jyvaskyla_summer_school_2022
Session 1: Introduction to 2D materials
Session 2: Superconductivity in 2D materials
Session 3: Magnetic 2D materials
Session 4: Moire electronic states and twisted van der Waals heterostructures
Session 5: Topological states in 2D materials
Lecture slides
Interactive exercise sessions
Jupyter notebooks associated to the different sessions of the course
Session 1: Second quantization, mean-field and spontaneous symmetry breaking
Session 2: Symmetries, reciprocal space, Bloch’s theorem
Session 3: Band structure theory, tight binding and effective models
Session 4: Topological band structure theory
Session 5: Electrons in a magnetic field, quantum Hall effect and Landau levels
Session 6: Superconductivity, Nambu representation and Majorana physics
Session 7: Magnetism, magnons, quantum magnetism and spinons
Session 8: Excitations and defects in quantum materials
Session 9: Tensor network and neural network many-body wavefunctions
Session 10: Machine learning for quantum materials
Session 1: Many-body interactions and classical symmetry broken magnetism
Session 2: Many-body quantum magnets
Session 3: Many-body correlated fermionic systems
Session 4: Tensor networks for many-body quantum magnets
Session 5: Tensor networks for many-body correlated fermions
Session 1: Second quantization, mean-field and spontaneous symmetry breaking
Session 2: Symmetries, reciprocal space and Bloch's theorem
Session 3: Band structure theory
Session 4: Topological band structure theory
Session 5: The quantum Hall effect
Session 6: Superconductivity
Session 7: Classical and quantum magnetism
Session 8: Excitations and defects in quantum materials
Session 9: Tensor network and neural network quantum states
Session 10: Machine learning quantum materials
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