The school will introduce students and young researchers to materials and molecular modelling with Quantum ESPRESSO (QE), covering basic concepts, recent advances and developments, with emphasis on density-functional-theory (DFT) based methods and High-Performance Computing (HPC).

Computational methods in electronic structure theory are a powerful tool for the understanding and the prediction of materials properties at the atomistic level. The combination of the progresses made by condensed matter theory with the increasing computing capabilities provided in HPC centers foster a great interest in computational materials science. Ab-initio electronic structure software like QE makes easily available such potentialities to a wide audience of scientists and students.

The school aims to train beginners in computational materials sciences to the efficient use of QE on modern massively parallel architectures, with special emphasis on the emerging architectures based on GPGPUs and on the use of advanced tools for generating, managing, storing, and sharing results.