Long Qi
Papers
1
Total Citations
12
H-Index
1
About
Long Qi is a pioneering researcher at the intersection of catalysis, artificial intelligence, and autonomous experimentation. His work centers on developing intelligent systems that integrate human intuition, machine learning, and robotic platforms to accelerate the discovery and optimization of catalytic processes. Qi’s most notable contribution is his landmark 2025 paper, "Autonomous catalysis research with human–AI–robot collaboration," which has already garnered 12 citations and is shaping the future of self-driving laboratories. By designing closed-loop workflows where AI models guide robotic synthesis and characterization, Qi has dramatically reduced the time needed to identify high-performance catalysts, moving beyond traditional trial-and-error methods. His research not only advances fundamental understanding of catalytic mechanisms but also offers practical tools for sustainable chemical manufacturing. Qi’s work is recognized for its interdisciplinary impact, bridging computer science, materials chemistry, and chemical engineering. As a rising leader in autonomous research systems, he continues to push the boundaries of how scientists collaborate with machines to solve complex catalytic challenges.
Research Focus
Key Achievements
Top Papers
- 1Autonomous catalysis research with human–AI–robot collaboration12 citations · 2025