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AI4Materials: Transforming the landscape of materials science and enigneering
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Xue Jianga, Dezhen Xueb, Yang Baia, William Yi Wangc, Jianjun Liud, Mingli Yange, Yanjing Sua, f, *
Review of Materials Research | 2025, 1(1) : 100010
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Review of Materials Research | 2025, 1(1): 100010
• STRATEGIC COMMENTARY •
AI4Materials: Transforming the landscape of materials science and enigneering
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Xue Jianga, Dezhen Xueb, Yang Baia, William Yi Wangc, Jianjun Liud, Mingli Yange, Yanjing Sua, f, *
Affiliations
  • aBeijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, 100083, China
  • bState Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an, 710049, China
  • cState Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi'an, 710072, China
  • dState Key Laboratory of High Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai, 200050, China
  • eInstitute for Nanobiomedical Technology and Membrane Biology, Sichuan University, Chengdu, 610041, China
  • fChinese Materials Research Society, Beijing, 100083, China
Published: 2025-04-06 doi: 10.1016/j.revmat.2025.100010
Outline
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New materials, crucial for economic and technological progress, are prioritized globally with strategies to accelerate their advancement through big data and AI. AI for Materials (AI4Mater) serves as an overall framework for integrating AI into Materials Science and Engineering, which is structured around three main elements: materials data infrastructure, AI4Mater techniques, and applications. This article reviews the development procedure and recent innovations in materials data infrastructure, machine learning in materials, autonomous experiment, intelligent computation, and intelligent manufacture. These efforts aim to foster open access to AI resources and enhance the collective advancement of materials science, ultimately accelerating breakthroughs and elevating the engineering application of new materials in a sustainable manner.

Intelligent computation  /  Machine learning  /  Materials data infrastructure  /  Autonomous experiment  /  Intelligent manufacture
Xue Jiang, Dezhen Xue, Yang Bai, William Yi Wang, Jianjun Liu, Mingli Yang, Yanjing Su. AI4Materials: Transforming the landscape of materials science and enigneering[J]. Review of Materials Research, 2025 , 1 (1) : 100010 - . DOI: 10.1016/j.revmat.2025.100010
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Funding
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  • National Key Research and Development Program of China(2022YFB3707502)
  • National Natural Science Foundation of China(92270001; 52201061)
  • Guangdong Basic and Applied Basic Research Foundation(2023A1515140101)
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Year 2025 volume 1 Issue 1
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Article Info
doi: 10.1016/j.revmat.2025.100010
  • Receive Date：2025-04-01
  • Online Date：2026-06-10
  • Published：2025-04-06
Article Data
Affiliations
History
  • Received：2025-04-01
  • Revised：2025-04-05
  • Accepted：2025-04-05
Funding
National Key Research and Development Program of China(2022YFB3707502)
National Natural Science Foundation of China(92270001; 52201061)
Guangdong Basic and Applied Basic Research Foundation(2023A1515140101)
Affiliations
    aBeijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, 100083, China
    bState Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an, 710049, China
    cState Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi'an, 710072, China
    dState Key Laboratory of High Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai, 200050, China
    eInstitute for Nanobiomedical Technology and Membrane Biology, Sichuan University, Chengdu, 610041, China
    fChinese Materials Research Society, Beijing, 100083, China

Corresponding:

* Beijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, 100083, China. E-mail address: (Y. Su).
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