报告人：杨东博士, 香港理工大学

邀请人：郑壮豪 教授

报告时间：2026年 04月 11日，17:30-18:30

地点：致原楼1006

报告简介：The research on thermoelectric materials and devices has long been hindered by two major bottlenecks: the difficulty of exploring high-dimensional chemical spaces and the high computational cost of multiphysics coupling simulations. Traditional trial-and error approaches and numerical simulations are increasingly struggling to meet the demands of rapid iteration. In recent years, the emergence of the “AI for Science” paradigm has opened new pathways to address these challenges. This presentation aims to provide a systematic review of recent advances in the application of artificial intelligence to thermoelectric materials and devices, focusing on three key aspects: 1) Accelerated materials discovery, introducing how graph neural networks (GNNs) and active learning enable high-throughput screening of thermoelectric materials and accurate prediction of the figure of merit (ZT); 2) Accelerated device simulation, discussing the advantages of physics-informed neural networks (PINNs) and surrogate models in solving coupled thermal-electrical-mechanical problems, achieving efficiency improvement of several orders of magnitude; and 3) Closed-loop research and development paradigms, showcasing recent explorations of intelligent systems that integrate AI prediction, experimental validation, and data feedback to accelerate materials iteration. By summarizing representative studies and typical application cases, this presentation aims to illustrate how AI technologies are reshaping the research and development workflow in thermoelectrics, and to discuss current challenges (such as few-shot learning and interpretability) as well as future directions, offering a systematic overview of the field’ progress for researchers in related disciplines.

报告人简介：Dr. Dong YANG obtained his Ph.D. from University of Rennes in France, under the supervision of Prof. Xianghua ZHANG. He is currently working as a research associate at The Hong Kong Polytechnic University. His research focuses on the fabrication and optimization of thermoelectric materials and devices. He has published 5 first-author papers in high-impact journals such as Nature communications, Advanced Functional Materials, and Nano Energy.

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