Autonomous Chemistry and Materials Innovation Driven by Scientific Agents.

Zikai Xie1, Man Luo1, Zixin Ye1

  • 1State Key Laboratory of Precision and Intelligent Chemistry, Hefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.

JACS Au
|May 29, 2026
PubMed
Summary

Large language model (LLM)-based agents enhance self-driving laboratories (SDLs) for chemical research by enabling literature-grounded reasoning and adaptive coordination. This integration aims to bridge current limitations in SDL capabilities for more sophisticated autonomous experimentation.

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