材料科学与人工智能

This course is designed for students with good materials and physics skills and the willing to take doctoral degree. This course could be provided for undergraduate and postgraduate students and will systematically introduce the idea, history and elemental factors of Combinatorial Materials and possess an overview. This course focuses on the synthesis and characterization technologies of Combinatorial Materials Chips, aiming to lead the students to understand and master the way to obtain the whole Combinatorial Materials data spectrum. And combined with artificial intelligence, the students could learn the method of screening the high-performance materials efficiently. Several state-of-art innovative high-throughput characterization techniques will be emphatically introduced to help the students to experience the process of technological innovation.