Cesare Franchini

Full Professor at the University of Bologna

Full Professor at the University of Vienna

Computational Quantum Materials:

First principles, Quantum Monte Carlo,  data driven and machine learning

Theoretical understanding and computational modeling of quantum materials (bulk and surfaces) using quantum mechanical first principles methodologies. Quantum Materials is a broad concept in condensed matter beyond strongly correlated electron systems, including:  Mott physics, polaron physics, topological phases, non-collinear magnetism, excitons, multiferroism,etc.

Research Highlights:

Polarons in Materials, Nature Materials Review 2021

Machine Learning for predicting large scale surface pattern, npj Comp. Mat 2024

Quantum magnetism, Physical Review Letter 2021

Spin-orbital Jahn-Teller bipolarons, Nature Communication 2024

Surface Science and Catalysis, Science 2021

Surface Science and Polarity, Science 2018