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聚焦青年科学家激发原始创新,上海市科学智能“百团百项”阶段成果亮相
Xin Lang Cai Jing· 2025-09-25 10:45
Core Insights - Scientific intelligence is reshaping research paradigms and empowering industrial upgrades through AI integration in various scientific fields [1][2] - The "Hundred Teams, Hundred Projects" initiative aims to support at least 100 teams and projects within two years, fostering collaboration among AI talents, scientists, and engineers [1][2] - The average age of project leaders in the initiative is 35, highlighting a focus on young scientific talent [1] Group 1: Project Highlights - Professor Gao Yue from Fudan University developed electrolyte materials for lithium iron phosphate batteries, achieving 96% health status after 12,000 charge-discharge cycles and establishing production lines for large-scale manufacturing [2] - The initiative emphasizes cross-disciplinary collaboration and data sharing, which are crucial for driving original innovation [2] - The Zhu Tong team from Shanghai Chuangzhi Academy developed machine learning methods for quantum chemistry calculations, improving efficiency by three orders of magnitude compared to traditional methods [2][3] Group 2: Innovations in Engineering - The Zhou Ying team from Tongji University proposed an automated and intelligent full-link process for building design, increasing modeling and modification efficiency by over 10 times compared to traditional methods [3] - The Lin Zhouhan team from Shanghai Jiao Tong University built a specialized pre-trained model for wind power prediction, achieving the highest accuracy in national renewable energy forecasts for the first quarter of 2025 [3] Group 3: Characteristics of the Initiative - The "Hundred Teams, Hundred Projects" initiative showcases deep integration between young AI scientists and domain experts, creating an efficient collaborative innovation mechanism [4] - Some projects have already partnered with leading companies like CATL, demonstrating the advantages of the "AI scientist + domain expert + engineer" co-creation model [4] - Original breakthroughs in AI methodologies have been achieved, significantly accelerating the scientific discovery process [4] Group 4: Future Directions - The initiative will focus on transforming cutting-edge original achievements into real productive forces by creating industry solution showcases and building an open scientific intelligence cloud platform [5]