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工学院专题学术讲座 | Jiayu Wan 万佳雨: Accelerating Battery Research with AI and Ultrafast Synthesis

时间

2024年8月29日(周四)
14:00-15:30

地点

西湖大学云谷校区E10-304

主持

西湖大学工学院 杨尧 博士

受众

全体师生

分类

学术与研究

工学院专题学术讲座 | Jiayu Wan 万佳雨: Accelerating Battery Research with AI and Ultrafast Synthesis

时间:2024年8月29日(周四) 14:00-15:30

Time: 14:00-15:30, Thu., August 29, 2024

地点西湖大学云谷校区E10-304

Venue: E10-304, Yungu Campus

主持人: 西湖大学工学院 杨尧 博士

Host: Dr. Yao Yang, Assistant Professor, Westlake University

语言:中文

Language: Chinese

主讲嘉宾/Speaker:

Jiayu Wan, Associate Professor

Global Institute of Future Technology (GIFT)

Shanghai Jiao Tong University (SJTU)

主讲人简介/Biography:

Jiayu Wan is an Associate Professor at the Global Institute of Future Technology (GIFT), Shanghai Jiao Tong University (SJTU). He also serves as the executive director of the Future Battery Research Center of GIFT, SJTU. Prof. Wan completed his postdoctoral research at Stanford University, working with Professors Yi Cui and Zhenan Bao. Prior to Stanford, he obtained his Ph.D. degree from the University of Maryland, College Park with Prof. Liangbing Hu (Now at Yale University). Prof. Wan holds an undergraduate degree from Huazhong University of Science and Technology. His research interests primarily focus on energy storage, ultrafast synthesis, and their intersection with AI, in which he has authored over 90 journal articles such as Nature Nanotechnology, Nature Comm, Joule, and Advanced Materials. As recognition of his work, Prof. Wan has been honored with a number of awards such as the Emerging Investigators or Rising Stars of the Journal of Materials Chemistry A (RSC), Energy & Fuels (ACS), and Green Chemistry (RSC), he was also selected for "Dorothy M. and Earl S. Hoffman Award" by the American Vacuum Society, etc.

讲座摘要/Abstract:

Amidst the challenges of global warming, the urgent need for the rapid development of renewable energy technologies faces significant obstacles. In contrast to the time-consuming and labor-intensive processes typical of conventional research paradigms, I will discuss my recent work leveraging AI, large language models (LLMs), and ultrafast synthesis techniques to accelerate the research and development of key materials and devices in battery technology beyond Li-ion batteries. This includes advancements in solid-state batteries, battery recycling, and battery life prediction, etc.

讲座联系人/Contact:

朱松梅

zhusongmei@westlake.edu.cn