TY - JOUR
T1 - Nonlinear self-calibrated spectrometer with single GeSe-InSe heterojunction device
AU - Darweesh, Rana
AU - Yadav, Rajesh Kumar
AU - Adler, Elior
AU - Poplinger, Michal
AU - Levi, Adi
AU - Lee, Jea Jung
AU - Leshem, Amir
AU - Ramasubramaniam, Ashwin
AU - Xia, Fengnian
AU - Naveh, Doron
N1 - Publisher Copyright:
© 2024 th Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. no claim to original U.S. Government Works. Distributed under a creative commons Attribution license 4.0 (cc BY).
PY - 2024/5
Y1 - 2024/5
N2 - Computational spectrometry is an emerging field that uses photodetection in conjunction with numerical algorithms for spectroscopic measurements. Compact single photodetectors made from layered materials are particularly attractive since they eliminate the need for bulky mechanical and optical components used in traditional spectrometers and can easily be engineered as heterostructures to optimize device performance. However, such photodetectors are typically nonlinear devices, which adds complexity to extracting optical spectra from their response. Here, we train an artificial neural network to recover the full nonlinear spectral photoresponse of a single GeSe-InSe p-n heterojunction device. The device has a spectral range of 400 to 1100 nm, a small footprint of ~25 × 25 square micrometers, and a mean reconstruction error of 2 × 10−4 for the power spectrum at 0.35 nanometers. Using our device, we demonstrate a solution to metamerism, an apparent matching of colors with different power spectral distributions, which is a fundamental problem in optical imaging.
AB - Computational spectrometry is an emerging field that uses photodetection in conjunction with numerical algorithms for spectroscopic measurements. Compact single photodetectors made from layered materials are particularly attractive since they eliminate the need for bulky mechanical and optical components used in traditional spectrometers and can easily be engineered as heterostructures to optimize device performance. However, such photodetectors are typically nonlinear devices, which adds complexity to extracting optical spectra from their response. Here, we train an artificial neural network to recover the full nonlinear spectral photoresponse of a single GeSe-InSe p-n heterojunction device. The device has a spectral range of 400 to 1100 nm, a small footprint of ~25 × 25 square micrometers, and a mean reconstruction error of 2 × 10−4 for the power spectrum at 0.35 nanometers. Using our device, we demonstrate a solution to metamerism, an apparent matching of colors with different power spectral distributions, which is a fundamental problem in optical imaging.
UR - http://www.scopus.com/inward/record.url?scp=85193625117&partnerID=8YFLogxK
U2 - 10.1126/sciadv.adn6028
DO - 10.1126/sciadv.adn6028
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C2 - 38758797
AN - SCOPUS:85193625117
SN - 2375-2548
VL - 10
JO - Science advances
JF - Science advances
IS - 20
M1 - eadn602
ER -