Exploration and practice of Artificial Intelligence-driven laboratory engineering in Artificial Intelligence for Science infrastructure construction

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ID: 317054
2026
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Abstract
Abstract In response to the demand for constructing Artificial Intelligence-driven laboratories in the Artificial Intelligence for Science field, and based on the practical requirements of iron-based Fischer-Tropsch synthesis catalyst R&D at the National Institute of Clean-and-Low-Carbon, this paper proposes the fundamental concepts, main characteristics, and overall framework of an Artificial Intelligence-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 Artificial Intelligence-driven laboratory represents a deep integration of information technology, automation technology, and Artificial Intelligence technology, and will play a significant role in the Artificial Intelligence for Science field.
Reference Key
openalex_W7164347826 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rui Wang, Tiewei Shang, Z G Li, Quan Lin, Zixin Wang, Linge Ma, Jihong Cheng
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Journal journal of modern power systems and clean energy
Year 2026
DOI
10.1093/ce/zkag028
URL
https://doi.org/10.1093/ce/zkag028
Keywords Keywords not found

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