Papers
5
Total Citations
477
H-Index
5
About
Andres Osvet is a leading figure in the high-throughput discovery and stability engineering of next-generation photovoltaics. His research centers on accelerating the development of durable metal-halide perovskites and quantum dots through robotic synthesis and automated characterization. Osvet’s most impactful contribution is the discovery of a temperature-induced stability reversal in perovskite compositions, published in a 2021 paper that has garnered 174 citations. By coupling robotic experimentation with machine learning, he demonstrated that the stability ranking of different cations can invert between standard accelerated aging tests (e.g., 140°C) and actual operating temperatures—a finding that fundamentally challenges conventional stability screening. His earlier work, with 120 citations, pioneered a robot-based high-throughput approach to explore wide-bandgap perovskites, while a 2020 study (110 citations) systematically screened antisolvents for lead halide perovskites. Osvet also revealed a “stability bowing” effect in quasi-2D perovskites and extended his robotic platform to synthesize complex multinary quantum dots for luminescent applications. His work is reshaping how researchers design stable, efficient materials for sustainable energy, making him a key innovator in autonomous materials science.
Research Focus
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