AI-Powered Innovation in Materials Science

Xue Jiang is an Associate Professor at the University of Science and Technology Beijing, specializing in materials big data and intelligent materials R&D. She has led 6 competitive research projects, including the National Natural Science Foundation of China (NSFC) Young Scientists Fund, Guangdong Basic and Applied Basic Research Foundation, and key topics under Guangdong Provincial Key R&D Program. Additionally, she has contributed to 14 major national initiatives, such as the National Key R&D Program of China and NSFC Joint Key Projects. With 30 first/corresponding-author publications in top-tier journals (e.g., Acta Materialia, npj Computational Materials, Scripta Materialia), her work includes 25 SCI-indexed papers (12 in TOP journals) and 1 ESI Highly Cited Paper. She holds 22 authorized invention patents and software copyrights. An active educator, Dr. Jiang co-developed the "Materials Genome Engineering" curriculum series, teaching courses like Fundamentals of Materials Design, Materials Data Science, and Materials Big Data Technology. She has co-authored 3 academic books. As a core member of the National Advanced Materials Big Data Center and recipient of the 2023 Materials Genome Engineering Young Scientist Award, she serves on the CSTM Committee for Materials Genome Engineering and as a Youth Editorial Board Member of MGE Advances. She also reviews for prestigious journals (Nature Synthesis, npj Computational Materials, etc.).

Yanjing Su is a distinguished scholar and leading expert at the University of Science and Technology Beijing in materials big data, artificial intelligence, and corrosion science. With extensive expertise spanning fundamental research and industrial applications, he has made seminal contributions to the development of data-driven materials science and next-generation corrosion-resistant alloys. As a key advisor to China's national scientific initiatives, he serves on multiple high-level expert committees, including the Ministry of Industry and Information Technology's "Materials Genome Engineering Key Technologies" program, the National Key R&D Program on "Rare Earth New Materials," and the NSFC's major research plan on explainable AI technologies. His work has resulted in over 300 publications in top-tier journals including Acta Materialia, Corrosion Science, and npj Computational Materials, along with 4 influential academic monographs. His achievements have been recognized with numerous honors, including the National First Prize for Educational Achievement (China's highest teaching award) and six provincial/ministerial awards for scientific and technological progress. The integrated Materials Genome Engineering Platform he developed, combining databases, data acquisition, and machine learning tools, has become a valuable resource for both academic research and industrial R&D.