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About

Michael B. Rooney is a pioneering researcher in the field of autonomous materials discovery, with a focus on self-driving laboratories and accelerated materials optimization. His major contributions center on developing fully autonomous experimental systems that integrate robotics, machine learning, and materials science to dramatically speed up the discovery and optimization of functional materials. Rooney’s work has demonstrated the power of closed-loop experimentation, where an algorithm designs, executes, and learns from experiments without human intervention. His most cited paper, "A self-driving laboratory designed to accelerate the discovery of adhesive materials" (2022, 48 citations), showcases a robotic platform that iteratively tests and improves adhesive formulations. Equally influential is his 2020 paper on "Self-driving laboratory for accelerated discovery of thin-film materials" (43 citations), which addresses the decade-long timelines typical for developing clean energy materials. These works have established Rooney as a key figure in the emerging paradigm of autonomous experimentation, with his systems offering a transformative approach to materials R&D. His research not only reduces human labor but also enables the exploration of vast chemical spaces, making him a notable contributor to the future of materials science.