Tonio Buonassisi
Papers
1
Total Citations
2
H-Index
1
About
Tonio Buonassisi is a leading materials scientist and engineer whose research sits at the intersection of photovoltaics, semiconductor characterization, and artificial intelligence-driven materials discovery. Based at MIT, Buonassisi has dedicated his career to accelerating the development of next-generation solar energy technologies, with particular emphasis on understanding and mitigating defects in photovoltaic materials that limit device efficiency. His work spans both fundamental materials science — probing the electronic properties of semiconductors at the microstructural level — and cutting-edge automation, where he has pioneered the integration of machine learning and robotic systems into so-called "self-driving laboratories." This innovative approach enables autonomous, high-throughput experimentation that dramatically compresses the timeline from materials hypothesis to validated discovery. His most recent work explores self-supervised robotic platforms capable of contact-based spatial mapping of semiconductor properties, pushing the boundaries of measurement precision and reliability in automated research environments. With citations accumulating across his growing publication record, Buonassisi has emerged as an influential voice in the global effort to make solar energy cheaper, more efficient, and more rapidly deployable — a contribution with profound implications for the clean energy transition.
Research Focus
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Top Papers
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