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About

Aoran Cai is a pioneering researcher at the intersection of artificial intelligence, robotics, and materials science, with a primary focus on the autonomous discovery and inverse design of advanced functional materials. His major contributions center on developing robotic AI-guided systems that automate the high-throughput synthesis and characterization of chiral materials, enabling the precise tuning of chiroptical properties such as sign, magnitude, and wavelength distribution. This work, exemplified by his 2023 paper "Inverse design of chiral functional films by a robotic AI-guided system" (61 citations), has profound implications for chiral sensing, enantioselective catalysis, and chiroptical devices. Additionally, Cai has advanced the creation of multi-modal AI-ready databases through his robotic AI-Chemist platform, which integrates literature mining, simulations, and experiments to automate data production and fusion (3 citations). By merging closed-loop experimentation with machine learning, Cai’s research accelerates the discovery cycle and establishes a new paradigm for materials innovation, making him a key figure in the emerging field of autonomous chemistry.