Tonio Buonassisi

Tonio Buonassisi is an Associate Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology. His research focuses on Sustainable Materials, High-throughput Experiments, Scientific Machine Learning, Process Optimization & Scale-Up. He is affiliated with the MIT Department of Mechanical Engineering and can be contacted via email at buonassi@mit.edu or through his website at https://meche.mit.edu/people/faculty/buonassi@mit.edu.

Tonio Buonassisi is a researcher in Materials Science, Machine Learning, Energy Systems, and Photovoltaics. His work focuses on advancing solar technologies through materials innovation and computational methods. He has published extensively on perovskite solar cells, including their efficiency, stability, and integration with silicon and CIGS. His research also explores defect-tolerant semiconductors, band-offset engineering, and materials development using machine learning. Buonassisi has contributed to understanding the potential of hybrid organic–inorganic perovskites and the economic feasibility of photovoltaic technologies. His studies emphasize the role of automation and high-performance computing in accelerating materials discovery.