【Graduate Seminar Series】人工智能与能源材料：融合计算与实验的材料发现

会议分类

学术讲座

会议开始时间

2026-11-20 10:00

会议结束时间

2026-11-20 11:30

会议地点

闵行校区浦江国际学院龙宾楼300号中集报告厅

主办单位

上海交通大学浦江国际学院

报名开始时间

2026-11-10 13:38

报名截止时间

2026-11-20 10:00 剩 7 天

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会议简介

This presentation will introduce AI-driven energy materials, with a particular focus on our vision for an autonomous research paradigm integrating computational discovery ("dry-lab") and experimental validation ("wet-lab"). The central concept is to establish a self-evolving materials discovery loop underpinned by the synergistic interplay of algorithms, data, and knowledge. By seamlessly connecting high-throughput computational screening and machine learning on the dry-lab side with automated synthesis, in situ characterization, and device-level validation on the wet-lab side, this paradigm aims to transform energy materials research from conventional forward screening toward demand-driven inverse design and intelligent generation, ultimately establishing reusable research infrastructure. Building on these developments, we propose an ecosystem for collaborative research involving multiple roles and stakeholders to meet diverse research needs. Through a decoupled design, we develop computational workflow systems and an intelligent materials design platform for electrochemical energy storage, enabling the synergistic integration of algorithms, data, and knowledge. These efforts have led to initial progress in transforming materials discovery from forward screening toward inverse design and intelligent generation.

会议议程

Menghao Yang is an Associate Professor and Ph.D. Supervisor at the School of Smart Energy Innovation, Shanghai Jiao Tong University. He received his Ph.D. in Materials Science and Engineering from Tsinghua University in 2018. From 2018 to 2023, he conducted postdoctoral research at Iowa State University, the University of Maryland, and Stanford University in the United States. In early 2023, he joined Tongji University as a Distinguished Fellow. In early 2026, he joined Shanghai Jiao Tong University, where he established a research group focusing on AI-driven energy materials.

He has published more than 100 scientific papers, including over 40 papers in the past five years as a first or corresponding author (including co-contributions) in leading journals such as Nature Materials (2 papers), Nature Catalysis (2), Nature Communications (4), Advanced Materials (2), and Science Advances (2). He has served as principal investigator for several research projects, including the General Program and Young Scientists Fund (Category C) of the National Natural Science Foundation of China, the Shanghai Scientific Intelligence Hundred Teams and Hundred Projects Initiative, and the Shanghai Fundamental Research Explorer Program. He also serves as a Young Editorial Board Member or Guest Editor for 15 academic journals.

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