Pragyan Jha

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About

Pragyan Jha is pioneering the intersection of flow chemistry and autonomous experimentation, driving forward the next generation of self-driving laboratories. Their key research areas include automated chemical synthesis, multi-robot systems, and the optimization of advanced nanomaterials. Jha’s major contributions center on developing “Rainbow,” a groundbreaking multi-robot self-driving lab that integrates automated flow chemistry to rapidly synthesize and optimize metal halide perovskite nanocrystals—materials with exceptional optical tunability. By tackling the immense complexity of their synthesis parameter space, Jha’s work enables unprecedented efficiency in discovering high-performance nanocrystals for optoelectronic applications. Their most-cited papers, including “The role of flow chemistry in self-driving labs” (2025, 11 citations) and “Autonomous multi-robot synthesis and optimization of metal halide perovskite nanocrystals” (2025, 9 citations), have quickly garnered attention for their innovative fusion of robotics, machine learning, and chemistry. This notable achievement not only accelerates materials discovery but also establishes a scalable framework for autonomous experimentation. Jha’s research is a compelling glimpse into a future where AI-driven robotic systems transform how we explore and engineer functional materials.