Jiagen Li

About

Jiagen Li is a pioneering researcher at the intersection of artificial intelligence, robotics, and materials science, whose work is fundamentally reshaping how chemical and materials discovery is conducted. Li’s primary contributions lie in the design and development of autonomous experimental platforms, most notably the Materials Acceleration Operation System (MAOS) and AIR-Chem. These systems integrate virtual reality, collaborative robots, and reinforcement learning to enable self-optimized, “on-demand” materials synthesis, representing a paradigm shift from traditional trial-and-error methods. With over 73 citations for the MAOS paper alone, Li’s work has been highly influential in establishing the field of intelligent robotics for chemistry. Beyond automation, Li has explored the biological impact of nanomaterials, demonstrating a size-dependent effect of graphene quantum dots on plant growth—a finding with significant implications for nano-agriculture. Li has also pushed the boundaries of autonomous science by integrating blockchain technology to ensure data reproducibility and by using intelligent robots to fabricate customized nanorobots. Through these diverse yet interconnected achievements, Jiagen Li stands as a visionary architect of the future of automated scientific discovery.

Research Focus

Key Achievements

Top Papers

1. 1
   Toward “On‐Demand” Materials Synthesis and Scientific Discovery through Intelligent Robots

   73 citations · 2020
2. 2
   AIR-Chem: Authentic Intelligent Robotics for Chemistry

   56 citations · 2018
3. 3
   Effect of graphene quantum dot size on plant growth

   35 citations · 2020
4. 4
   The Blockchain Integrated Automatic Experiment Platform (BiaeP)

   8 citations · 2020
5. 5
   Robots Built Robots: Nanorobots Customized by Intelligent Robot

   7 citations · 2021
6. 6
   Gold Nanoparticle-Based Nanoengines for Light-Induced Plasmonic Bubble Generation

   4 citations · 2020

Key Collaborators

Contact & Links