In response to the demand for constructing artificial intelligence (AI)-driven laboratories in the Artificial Intelligence for Science field and based on the practical requirements of iron-based Fischer–Tropsch synthesis catalyst research and development at the National Institute of Clean-and-Low-Carbon Energy

this paper proposes the fundamental concepts

main characteristics

and overall framework of an AI-driven laboratory. By reviewing the pilot construction and comprehensive practice of such a laboratory

the paper summarizes the practical engineering achievements

which include the introduction of engineering sub-modules such as the Intelligent Chemist

Intelligent Assistant

and Intelligent Algorithm. It is posited that the AI-driven laboratory represents a deep integration of information technology

automation technology

and AI technology

and will play a significant role in the Artificial Intelligence for Science field.