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Chia-Hao Lee, Cornell University, USA
Chia-Hao Lee, Cornell University, USA
Dr. Chia-Hao Lee is a Schmidt AI in Science Postdoctoral Fellow at Cornell University, specializing in the fusion of atomic-resolution electron microscopy and artificial intelligence. His research harnesses deep learning and generative models like CycleGAN to analyze sub-picometer-scale distortions around atomic defects in electron microscopy images. Recently, he has focused on utilizing diffusion models to push the boundaries of electron ptychography, a state-of-the-art computational microscopy technique that reveals unprecedented 3D structural details of materials at atomic resolution.
Invited Talk: Exploring the Atomic World: Advancing Electronic Microscopy with Deep Learning and Generative Models
Xiaoyang Zheng, the University of Tokyo, Japan
Xiaoyang Zheng, the University of Tokyo, Japan
Dr. Xiaoyang Zheng is an assistant professor at the Graduate School of Engineering, The University of Tokyo, Japan. He received his Ph.D. from University of Tsukuba, Japan, in 2023. Following his doctoral studies, he worked at National Institute for Materials Science, Japan, and Ecole Polytechnique Fédérale de Lausanne, Switzerland. His research focuses materials design, computational simulation, deep learning, and mechanical metamaterial. Notably, he has developed deep learning frameworks for metamaterial inverse design and text-to-microstructure generation. Currently, he is concentrating on building text-to-microstructure models using generative artificial intelligence, enabling the generation and editing of material microstructures from written content.
Invited Talk: Generative AI for Materials Microstructures: from Generation to Inverse Design
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