Papers
9
Total Citations
182
H-Index
5
About
Linjiang Chen is a pioneering researcher at the forefront of autonomous chemistry, where artificial intelligence and robotics converge to revolutionize laboratory research. His key contributions center on developing multi-agent robotic AI chemists that integrate large language models (LLMs) into experimental workflows, enabling autonomous chemical research on demand. Chen’s landmark 2025 paper on this topic has already garnered 116 citations, reflecting its transformative impact. He has also advanced multi-robot–multi-task scheduling systems that dramatically enhance the efficiency and flexibility of autonomous laboratories, with his 2025 work earning 23 citations. Notably, Chen’s physics-informed, dual-objective optimization of high-entropy-alloy nanozymes using a robotic AI chemist (16 citations) demonstrates his ability to merge computational intelligence with experimental discovery. His development of IR-Bot, an autonomous system combining infrared spectroscopy and machine learning for real-time chemical mixture analysis, further showcases his innovative approach to laboratory automation. With over 180 citations across his most-cited works, all published in 2024-2025, Chen is rapidly establishing himself as a leader in material intelligence, pushing the boundaries of what autonomous systems can achieve in chemical research and discovery.
Research Focus
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Top Papers
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