articleJournal of the American Chemical SocietyMar 8, 2025GREEN OA

A Multiagent-Driven Robotic AI Chemist Enabling Autonomous Chemical Research On Demand

TSTao SongMLMan LuoXZXiaolong ZhangLCLinjiang ChenYHYan Huang

University of Science and Technology of China · Hefei National Center for Physical Sciences at Nanoscale · +4 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

The successful integration of large language models (LLMs) into laboratory workflows has demonstrated robust capabilities in natural language processing, autonomous task execution, and collaborative problem-solving. This offers an exciting opportunity to realize the dream of autonomous chemical research on demand. Here, we report a robotic AI chemist powered by a hierarchical multiagent system, ChemAgents, based on an on-board Llama-3.1-70B LLM, capable of executing complex, multistep experiments with minimal human intervention. It operates through a Task Manager agent that interacts with human researchers and coordinates four role-specific agents─Literature Reader, Experiment Designer, Computation Performer,…

Citation impact

111
total citations
FWCI
58.05
Percentile
100%
References
68
Citations per year

Authors

16

Topics & keywords

Topics
Keywords
  • Chemistry
  • Chemist
  • On demand
  • Combinatorial chemistry
  • Biochemical engineering
  • Nanotechnology
  • Artificial intelligence
  • Organic chemistry
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