Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Material Identification by Plasmonic Infrared Microspectrometer Employing Machine Learning

Not Accessible

Your library or personal account may give you access

Abstract

We demonstrate a microspectrometer comprising plasmonic filters integrated with an infrared camera. Blackbody light illuminates the material being studied, with transmitted light collected by the microspectrometer. The latter uses machine learning to identify the material.

© 2021 The Author(s)

PDF Article  |   Presentation Video
More Like This
Gas Sensing Based on Mid-Infrared Metasurface Microspectrometer and Machine Learning

Jiajun Meng, Sivacarendran Balendhran, Ylias Sabri, Suresh Bhargava, and Kenneth B. Crozier
JTu4B.40 Frontiers in Optics (FiO) 2022

Material identification with a filter array-detector array infrared microspectrometer: numerical study

Jiajun Meng, Jasper J. Cadusch, and Kenneth B. Crozier
FTu2E.6 Frontiers in Optics (FiO) 2020

Thickness identification of 2D materials by machine learning assisted optical microscopy

Daniele Gaetano Sirico, Giovanni Acampora, Pasqualino Maddalena, and Felice Gesuele
JTh3A.8 CLEO: Applications and Technology (CLEO:A&T) 2021

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads


More Like This
Gas Sensing Based on Mid-Infrared Metasurface Microspectrometer and Machine Learning

Jiajun Meng, Sivacarendran Balendhran, Ylias Sabri, Suresh Bhargava, and Kenneth B. Crozier
JTu4B.40 Frontiers in Optics (FiO) 2022

Material identification with a filter array-detector array infrared microspectrometer: numerical study

Jiajun Meng, Jasper J. Cadusch, and Kenneth B. Crozier
FTu2E.6 Frontiers in Optics (FiO) 2020

Thickness identification of 2D materials by machine learning assisted optical microscopy

Daniele Gaetano Sirico, Giovanni Acampora, Pasqualino Maddalena, and Felice Gesuele
JTh3A.8 CLEO: Applications and Technology (CLEO:A&T) 2021

Plasmonic and Dielectric Nanostructures: Distinguishing Size, Material, and Dielectric Environment via Machine Learning

Aniket Pant and Kannatassen Appavoo
SM1Q.6 CLEO: Science and Innovations (CLEO:S&I) 2021

Detection of Ethanol in Gasoline with a Mid-Infrared Microspectrometer Based on Metallic Metasurface Filters

Henry Tan, Jasper Cadusch, Jiajun Meng, and Kenneth B. Crozier
STu4O.5 CLEO: Science and Innovations (CLEO:S&I) 2023

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.