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

Rui Wang; Tiewei Shang; Zhengwen Li; Quan Lin; Zixin Wang; Linge Ma; Jihong Cheng

doi:10.1093/ce/zkag028

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

更新时间：2026-09-12

- Exploration and practice of artificial-intelligence-driven laboratory engineering in Artificial Intelligence for Science infrastructure construction
- Exploration and practice of artificial-intelligence-driven laboratory engineering in Artificial Intelligence for Science infrastructure construction
- 清洁能源（英文） 2026年第5期
- 作者机构：
  
  National Institute of Clean-and-Low-Carbon Energy
- 作者简介：
- 基金信息：
  
  This work was supported by the Science and Technology Innovation project of CHN Energy (grant number GJNY-24-54). The AI-driven simulations and model training were performed on the robotic AI-Scientist platform of the Chinese Academy of Sciences (CAS).
- DOI：10.1093/ce/zkag028
  中图分类号：
- 纸质出版：2026
- 稿件说明：
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Rui Wang, Tiewei Shang, Zhengwen Li, 等. Exploration and practice of artificial-intelligence-driven laboratory engineering in Artificial Intelligence for Science infrastructure construction[J]. 清洁能源（英文）, 2026,(5).

Rui Wang, Tiewei Shang, Zhengwen Li, Quan Lin, Zixin Wang, Linge Ma, Jihong Cheng, Exploration and practice of artificial-intelligence-driven laboratory engineering in Artificial Intelligence for Science infrastructure construction, Clean Energy, Volume 10, Issue 5, October 2026, Pages 15–25, https://doi.org/10.1093/ce/zkag028
Rui Wang, Tiewei Shang, Zhengwen Li, 等. Exploration and practice of artificial-intelligence-driven laboratory engineering in Artificial Intelligence for Science infrastructure construction[J]. 清洁能源（英文）, 2026,(5). DOI： 10.1093/ce/zkag028.

Rui Wang, Tiewei Shang, Zhengwen Li, Quan Lin, Zixin Wang, Linge Ma, Jihong Cheng, Exploration and practice of artificial-intelligence-driven laboratory engineering in Artificial Intelligence for Science infrastructure construction, Clean Energy, Volume 10, Issue 5, October 2026, Pages 15–25, https://doi.org/10.1093/ce/zkag028 DOI：

摘要

Abstract

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.

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