On-demand design of spectrally sensitive multiband absorbers using an artificial neural network

Sunae So; Younghwan Yang; Taejun Lee; Junsuk Rho

doi:10.1364/PRJ.415789

Photonics Research, Volume. 9, Issue 4, B153(2021)

On-demand design of spectrally sensitive multiband absorbers using an artificial neural network

Sunae So¹, Younghwan Yang¹, Taejun Lee¹, and Junsuk Rho^1,2,3、*

¹Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea

²Department of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea

³National Institute of Nanomaterials Technology (NINT), Pohang 37673, Republic of Korea

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Sunae So, Younghwan Yang, Taejun Lee, Junsuk Rho. On-demand design of spectrally sensitive multiband absorbers using an artificial neural network[J]. Photonics Research, 2021, 9(4): B153

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Paper Information

Special Issue: DEEP LEARNING IN PHOTONICS

Received: Nov. 25, 2020

Accepted: Feb. 3, 2021

Published Online: Apr. 6, 2021

The Author Email: Junsuk Rho (jsrho@postech.ac.kr)

DOI:10.1364/PRJ.415789

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology