报告人：吴韬（Tom Wu） 教授（香港理工大学）

报告题目：AI-Assisted Design of Hybrid Perovskites for Photovoltaic Applications

报告时间：2025年10月17日上午10:00-11:00 (周五)

报告地点：909 B厅

报告摘要：

Hybrid organometal perovskites offer a new fertile playground to advance high-performance optoelectronic technologies, but their hybrid characteristics and the strong composition/structure/function correlation in these frontier materials bring new challenges. Here, I will share our recent efforts leveraging AI to accelerate the perovskite research through forming closed-loop discovery systems. I will first discuss schemes of descriptors suitable to apply in the domain of hybrid perovskites, then the development of a machine-learning and high-throughput approach to navigate the vast chemical space of organic cations in hybrid perovskites. The inverse-design method accelerates the discovery of new materials, achieving precise control of the energy bands of two-dimensional hybrid perovskites. In addition, I will present a few examples to illustrate the important insights of molecule engineering in the PV field as well as the intricate interactions between organic molecules and the inorganic framework of hybrid perovskites.

个人简介 ：

Dr. Wu Tao, Tom (吴韬) is Chair Professor of Frontier Materials in the Department of Applied Physics at The Hong Kong Polytechnic University (PolyU). He received his B.S. degree from Zhejiang University and his Ph.D. from the University of Maryland, College Park. Before joining PolyU as a STEM scholar, Dr. Wu worked at Argonne National Laboratory in Chicago, Nanyang Technological University (NTU) in Singapore, King Abdullah University of Science and Technology (KAUST) in Saudi Arabia, and the University of New South Wales (UNSW) in Australia. Dr. Wu has authored over 400 peer-reviewed papers with citations of over 41,000 and a H-index of 107 (Google Scholar), and he has been among the Clarivate List of Highly Cited Researchers since 2019. The WU group explores perovskite materials, including both oxides and hybrids, unlocking the fundamental science behind electronic, magnetic, and optical functionalities. In the last couple of years, the research team has jump-started the effort on applying AI in the fields of hybrid material design and high-throughput synthesis. He also serves as an Associate Editor for ACS Applied Materials & Interfaces.

联系人：袁建宇 教授