Papers
3
Total Citations
37
H-Index
3
About
Oleksandra Raievska is a leading researcher in high-throughput experimentation for advanced photovoltaics and luminescent quantum dots. Her work centers on accelerating the discovery of complex multinary materials through robotic synthesis and automated characterization. She pioneered the robot-assisted synthesis of aqueous Cu–Ag–In chalcogenide quantum dots, demonstrating spontaneous alloying to tune photoluminescence across the visible spectrum—a contribution cited over 20 times. Raievska also co-developed the self-driving AMADAP laboratory, which uses machine learning to optimize emerging perovskite solar cells, addressing multi-objective challenges in high-dimensional composition spaces. Her notable achievement includes the synthesis of over 350 double perovskite elpasolites incorporating six metal cations, revealing non-additive spectral properties that challenge conventional design rules. With her work accumulating citations across materials science and chemistry, Raievska is recognized for merging robotics, data science, and photophysics to systematically explore uncharted chemical spaces, offering a blueprint for next-generation solar energy and light-emitting materials.
Research Focus
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