Professor of Mechanical Engineering
Perovskite materials would be superior to silicon in PV cells, but manufacturing such cells at scale is a huge hurdle. Machine learning can help.
SMART breakthrough could help develop technologies that can identify materials according to desired properties for specific applications.
Read more about research performed by Prof. Buonassisi's team on LinkedIn
UNIVERSITY OF NOTRE DAMEB.S., Applied Physics
UNIVERSITY OF CALIFORNIA-BERKELEYPh.D., Applied Science & Technology
"Tonio Buonassisi is a Professor of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). He is pioneering the application of artificial intelligence to develop new materials for societally beneficial applications. His research in solar photovoltaics and technoeconomic analysis assisted technology developments in dozens of companies, earning him a US Presidential Early Career Award for Scientists and Engineers (PECASE), a National Science Foundation CAREER Award, and a Google Faculty Award. He directs the Accelerated Materials Lab for Sustainability at MIT, served as founding director for the Accelerated Materials Development for Manufacturing Programme in Singapore, and co-founded startup Xinterra as well as the non-for-profit Fraunhofer Center for Sustainable Energy Systems. A recipient of the prestigious MIT Everett Moore Baker Memorial Award for Excellence in Undergraduate Teaching, his passion for education is evidenced by the >179k views of his OpenCourseware/YouTube PV lectures series, and a recent YouTube video series focused on the application of AI to materials research, entitled “Accelerated Materials Development for Manufacturing.”