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About

Tanjin He is a leading researcher at the intersection of materials science, automation, and artificial intelligence, with a primary focus on accelerating the discovery and synthesis of inorganic materials. His most impactful contribution is the development of the A-Lab, an autonomous laboratory that integrates computational predictions, historical literature, machine learning, and active learning with robotic experimentation. In just 17 days, this system demonstrated the ability to rapidly synthesize novel inorganic powders, a breakthrough that has garnered over 785 citations and reshaped the paradigm of high-throughput materials research. He also pioneered the Unified Language of Synthesis Actions (ULSA), a critical ontology that standardizes the description of inorganic synthesis protocols. This framework provides a foundational language for both human researchers and autonomous robotic systems, enabling more reliable data sharing and automated process planning. Through his work, Tanjin He is not only advancing the speed and reproducibility of materials synthesis but also laying the essential groundwork for a future where AI-driven laboratories can independently design and create new functional materials.