AI4Materials: Transforming the landscape of materials science and enigneering
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.
Authors
- William Yi Wang (ORCID: https://orcid.org/0000-0002-8814-525X)
- Dezhen Xue (ORCID: https://orcid.org/0000-0001-6132-1236)
- Yang Bai (ORCID: https://orcid.org/0000-0002-6917-256X)
- Mingli Yang (ORCID: https://orcid.org/0000-0001-8590-8840)
- Yanjing Su (ORCID: https://orcid.org/0000-0003-2773-4015)
- Jianjun Liu (ORCID: https://orcid.org/0000-0002-7726-2127)
- Xue Jiang (ORCID: https://orcid.org/0000-0001-7441-0828)
Institutions
- Northwestern Polytechnical University (CN)
- Chinese Academy of Sciences (CN)
- Sichuan University (CN)
- Chinese Society of Endocrinology (CN)
- Chinese Nutrition Society (CN)
- Chinese Materials Research Society (CN)
- Chinese Society for Electrical Engineering (CN)
- Shanghai Institute of Ceramics (CN)
- Xi'an Jiaotong University (CN)
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- Review of Materials Research
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.revmat.2025.100010
- Citations
- 12
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 6.21
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Basic and Applied Basic Research Foundation of Guangdong Province