BIOGRAPHY
Prof. Gagliardi’s research focuses on the development and application of numerical models to simulate nanostructured devices, in particular, new solar cells (based on organic semiconductors or perovskite materials), electrochemical systems (nanostructured cathodes for fuel cells) and organic semiconductor materials for electronic applications. The development and application of numerical models spans from the nanoscale (Density Functional Theory, Quantum Green functions) to the mesoscale (Kinetic Monte Carlo) and the macroscale (Drift-diffusion). He is also a developer of the TiberCAD and GDFTB software. His most recent research topic focuses on multiscale modeling and the application of machine learning methods for material property screening.
After studying engineering at the University of Rome Tor Vergata (Italy), Professor Gagliardi received his doctorate in physics from the University of Paderborn in 2007. He later worked as a postdoctoral researcher at the Bremen Center for Computational Material Science and in Rome, before being appointed tenure track assistant professor at TUM in 2014. Since 2020 he is an Associate Professor at TUM.