Optical microspectrometers and chemical classifiers based on silicon nanowires, plasmonic metasurfaces and machine learning

Date: 2023/04/25 - 2023/04/25

Academic Seminar: Optical microspectrometers and chemical classifiers based on silicon nanowires, plasmonic metasurfaces and machine learning

Speaker: Dr. Jiajun Meng, research fellow at the School of Physics, University of Melbourne, Australia

Time: 10:00 -11:15 a.m., April 25, 2023 (Beijing Time)

Location: Room 454, JI Long Bin Building

Abstract

Spectrometers are a workhorse tool of optics, with applications ranging from scientific research to industrial process monitoring, remote sensing, and medical diagnostics. Although benchtop systems offer high performance and stability, alternative platforms offering reduced size, weight and cost could enable a host of new applications, e.g. in consumer personal electronics and field-deployable diagnostic platforms. To contribute to this trend towards miniaturized optical systems including spectrometers, this thesis presents the realization of a visible spectrum microspectrometer using structurally colored silicon nanowires and a reconstruction algorithm. We also experimentally demonstrate a plasmonic mid-infrared filter array-detector array microspectrometer that uses machine learning to determine the chemical compositions of a variety of liquids and solids.

Biography

Dr. Jiajun Meng is a research fellow at the School of Physics, University of Melbourne, Australia. He graduated from Fudan University with a bachelor's degree and received master's and doctoral degrees from the University of Melbourne. Dr. Meng has published multiple first-authored journal papers such as Nano Letters, Laser & Photonics Reviews, and ACS Photonics. His main research interests include the design and fabrication of microspectrometers, optical metasurfaces, and optoelectronic devices.