Miniaturized spectrometer with intrinsic long-term image memory

Gang Wu, Mohamed Abid, Mohamed Zerara, Jiung Cho, Miri Choi, Cormac Ó Coileáin, Kuan-Ming Hung, Ching-Ray Chang, Igor V. Shvets and Han-Chun Wu ()
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Gang Wu: Beijing Institute of Technology
Mohamed Abid: Beijing Institute of Technology
Mohamed Zerara: University of Applied Sciences
Jiung Cho: Korea Basic Science Institute
Miri Choi: Korea Basic Science Institute
Cormac Ó Coileáin: University of the Bundeswehr Munich
Kuan-Ming Hung: National Kaohsiung University of Science and Technology
Ching-Ray Chang: Chung Yuan Christian University
Igor V. Shvets: Trinity College Dublin, Dublin
Han-Chun Wu: Beijing Institute of Technology

Nature Communications, 2024, vol. 15, issue 1, 1-11

Abstract: Abstract Miniaturized spectrometers have great potential for use in portable optoelectronics and wearable sensors. However, current strategies for miniaturization rely on von Neumann architectures, which separate the spectral sensing, storage, and processing modules spatially, resulting in high energy consumption and limited processing speeds due to the storage-wall problem. Here, we present a miniaturized spectrometer that utilizes a single SnS2/ReSe2 van der Waals heterostructure, providing photodetection, spectrum reconstruction, spectral imaging, long-term image memory, and signal processing capabilities. Interface trap states are found to induce a gate-tunable and wavelength-dependent photogating effect and a non-volatile optoelectronic memory effect. Our approach achieves a footprint of 19 μm, a bandwidth from 400 to 800 nm, a spectral resolution of 5 nm, and a > 104 s long-term image memory. Our single-detector computational spectrometer represents a path beyond von Neumann architectures.

Date: 2024
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DOI: 10.1038/s41467-024-44884-1

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