L. Jay Guo
University of Michigan
Structural Colors: Toward AI Design and Low-cost Fabrication
Structural colors based on layered structures can be mass-produced and have been applied in industrial applications. Such structures can now be designed using machine learning algorithms. Environmental-friendly chrome-like coating can be designed this way and made by PVD process. Solution process was explored as low-cost alternative to make layered structures.
About L. Jay Guo
L. Jay Guo is a Professor of Electrical and Computer Engineering at the University of Michigan, where he joined in 1999 after his PhD and postdoc training. Professor Guo’s lab is involved in interdisciplinary research, with activities ranging from polymer-based photonic devices and sensor applications, flexible transparent conductors, nanophotonics, structural colors and AI assisted design, hybrid photovoltaics and photodetectors, to nanomanufacturing technologies, and are contributed by students from Electrical Engineering and Optics, Macromolecular Science & Engineering, Applied Physics, Physics, and Mechanical Engineering. Prof. Guo has over 285 journal publications; with citation over 32,000 times, and an H-index of 89 (by google scholar). Some notable awards he received from recent years include 2023 Wise-Najafi Prize for Engineering Excellence in the Miniature World from University of Michigan, 2017 William Mong Distinguished Lecturer in Hong Kong University, and 2015 Monroe-Brown Research Excellence Award by the College of Engineering of University of Michigan. His professional service includes Associate Editor of Optica (till 2021); and currently member of the Editorial Advisory Board of Advanced Optical Materials, and Opto-electric Science. His entrepreneur activities include co-founding two startup companies to commercialize technologies from his lab.
