用AI打破超材料设计天花板，上海交大新成果为新材料井喷提供可能

Core Viewpoint - The latest breakthrough by Shanghai Jiao Tong University in the field of thermal radiation metamaterials utilizes artificial intelligence (AI) to enhance the design process, allowing for mass generation of candidate designs and selection of optimal materials for various applications [1][3]. Group 1: AI and Metamaterials - The AI model developed can invent new materials and select those suitable for large-scale use at lower costs, significantly improving the efficiency of designing thermal radiation metamaterials [3][4]. - The model has generated 50,000 data samples in three months, leading to the selection of 1,500 high-performance candidate designs, from which four typical materials were experimentally validated [4][5]. Group 2: Applications and Benefits - The AI-generated metamaterials exhibit properties that are close to theoretical limits and can be applied in various fields such as aerospace thermal control, building energy efficiency, and human body heat management [5][6]. - The materials can be produced in flexible forms such as films, coatings, and patches, making them versatile for different outdoor applications [5][6]. Group 3: Research Collaboration and Recognition - The research involved collaboration with several prominent teams, including those from the National Key Laboratory of Metal Matrix Composites and institutions in Singapore and the United States [7]. - The study has been highly praised by reviewers for its innovative application of machine learning in the design of thermal radiation metamaterials, marking significant progress in the field [7].