2023, Volume 25, Issue 3
Strategic Study of CAE >> 2023, Volume 25, Issue 3 doi: 10.15302/J-SSCAE-2023.03.015
Development of Key Technologies for Intelligent Research and Development of New Materials
1. Beijing Advanced Innovation Center for Materials Genome Engineering, Beijing 100083, China;
2. Research Center for Materials Genome Engineering, Sichuan University, Chengdu 610065, China;
3. Beijing New Building Materials Public Limited Company, Beijing 102209, China;
4. State Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China;
5. School of Materials Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China;
6. School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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Abstract
The rapid development of key technologies for the intelligent research and development (R&D) of new materials has significantly promoted the R&D efficiency and industrialization of materials and attracted global attention. China’s development in this field lags behind the advanced international level in terms of key technologies and infrastructures, which has restricted the original innovation and industrial development of the material sector. This study summarizes the key technologies involving the intelligent R&D of new materials, explores the developing status of these key technologies in China and abroad, and analyzes the challenges faced by China. Moreover, the intelligent R&D technology system is summarized including intelligent computing and design technologies and software, autonomous/intelligent experiment technologies and equipment, artificial-intelligence-driven basic algorithms and technologies, digital twins, intelligent R&D platforms and collaborative innovation networks. Furthermore,countermeasures are proposed from the aspects of innovative ecology construction, industrial environment improvement, standards system establishment, talent training, and international cooperation.
Keywords
new materials ; artificial intelligence ; autonomous experimentation ; intelligent computing ; big data of materials
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