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07/2022: International Summer School on Computational Quantum Materials 2022

05.07.2022  -  17.07.2022

The School will introduce the background in many-body theory necessary to understand modern computational methods. That includes second quantization, Green functions, functional integrals and functional derivative methods, RPA, GW and TPSC approximations.
give an in-depth introduction to the main numerical methods used in the study of quantum materials, so that the student will be able to use them, become familiar with the breakthroughs they allowed and be able to make a critical appraisal of each method's relative strengths and weaknesses.
illustrate and contribute to the dramatic cross-fertilization that is occurring between ab initio Density Functional approaches and methods developed in many-body theory for highly correlated quantum materials such as Dynamical Mean-Field Theory (DMFT) and Continuous-Time Quantum Monte Carlo solvers. the steps involved in defining model Hamiltonians from Density Functional approaches will be explained.
introduce the students to a few current research problems, such as quantum systems out of equilibrium, spin-orbit interactions and topology in electronic structure and to some of the new approaches such as diagrammatic quantum Monte Carlo and materials informatics..

Sherbrooke, Québec, Canada

Abstract: