Dr. Alessio Gagliardi

Biography

Professor Gagliardi's research focuses on the development and application of numerical models to simulate nanostructured devices. His work is primarily dedicated to advancing next-generation solar cells, including organic semiconductors and perovskite solar cells, as well as electrochemical systems like fuel cells and batteries. His expertise spans multiple scales, utilizing nanoscale methods such as Density Functional Theory and Quantum Green Functions, as well as mesoscale approaches like Kinetic Monte Carlo, and macroscopic modeling techniques such as drift diffusion and continuum models. He has contributed to the development of the TiberCAD and GDFTB software. Additionally, his research explores the integration of machine learning and deep learning into material science, particularly in the context of multiscale modeling that bridges experimental and theoretical simulations.

Research Interests

Experience