Mid- to long-wave infrared computational spectroscopy with a graphene metasurface modulator

Shrestha, Vivek Raj; Craig, Benjamin; Meng, Jiajun; Bullock, James; Javey, Ali; Crozier, Kenneth B.

doi:10.1038/s41598-020-61998-w

Title: Mid- to long-wave infrared computational spectroscopy with a graphene metasurface modulator

Journal Article · Wed Mar 25 00:00:00 EDT 2020 · Scientific Reports

DOI:https://doi.org/10.1038/s41598-020-61998-w· OSTI ID:1639004

Shrestha, Vivek Raj ^[1]; Craig, Benjamin ^[1]; Meng, Jiajun ^[2]; Bullock, James ^[2]; Javey, Ali ^[3]; Crozier, Kenneth B. ^[4]

Univ. of Melbourne (Australia). School of Physics
Univ. of Melbourne (Australia). Dept. of Electrical and Electronic Engineering
Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Materials Sciences Division
Univ. of Melbourne (Australia). School of Physics, Dept. of Electrical and Electronic Engineering, and Australian Research Council Centre of Excellence for Transformative Meta-Optical Systems

In recent years there has been much interest concerning the development of modulators in the mid- to long-wave infrared, based on emerging materials such as graphene. These have been frequently pursued for optical communications, though also for other specialized applications such as infrared scene projectors. Here we investigate a new application for graphene modulators in the mid- to long-wave infrared. We demonstrate, for the first time, computational spectroscopy in the mid- to long-wave infrared using a graphene-based metasurface modulator. Furthermore, our metasurface device operates at low gate voltage. To demonstrate computational spectroscopy, we provide our algorithm with the measured reflection spectra of the modulator at different gate voltages. We also provide it with the measured reflected light power as a function of the gate voltage. The algorithm then estimates the input spectrum. We show that the reconstructed spectrum is in good agreement with that measured directly by a Fourier transform infrared spectrometer, with a normalized mean-absolute-error (NMAE) of 0.021.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division; Defense Advanced Research Projects Agency (DARPA); Australian Research Council; VESKI

Grant/Contract Number:: AC02-05CH11231; HR0011-16-1-004; DP180104141; FT140100577

OSTI ID:: 1639004

Journal Information:: Scientific Reports, Vol. 10, Issue 1; ISSN 2045-2322

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 18 works

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