Experimental demonstration of deep learning enabled ultra-broadband epsilon-near-zero perfect absorbers

David Dang; Sudip J. Gurung; Juan Manuel Raffo Calixto; Xuguo Zhou; Aleksei Anopchenko; Howard Lee

doi:10.1117/12.2678517

5 October 2023 Experimental demonstration of deep learning enabled ultra-broadband epsilon-near-zero perfect absorbers

David Dang, Sudip J. Gurung, Juan Manuel Raffo Calixto, Xuguo Zhou, Aleksei Anopchenko, Howard Lee

Proceedings Volume PC12648, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XXI; PC1264807 (2023) https://doi.org/10.1117/12.2678517
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Abstract

The design of multilayer ENZ stacks is challenging due to the many parameters involved, including the number of layers, thicknesses, ENZ wavelength, and optical losses. Our machine learning-based approach enables us to efficiently search through the vast design space and experimentally verify the performance of the resulting thin film stack. The resulting 2-layered AZO ENZ thin film stack achieved perfect absorption of light (> 95%) in the near-infrared region from 1500 nm to 2500 nm, highlighting the potential of machine learning techniques in designing ENZ materials for a range of applications.

Conference Presentation

Citation Download Citation

David Dang, Sudip J. Gurung, Juan Manuel Raffo Calixto, Xuguo Zhou, Aleksei Anopchenko, and Howard Lee "Experimental demonstration of deep learning enabled ultra-broadband epsilon-near-zero perfect absorbers", Proc. SPIE PC12648, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XXI, PC1264807 (5 October 2023); https://doi.org/10.1117/12.2678517

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available