ArticleScience advances2024
Nonlinear self-calibrated spectrometer with single GeSe-InSe heterojunction device.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The trial behind it
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Who cites it
6 citing papers in PubMed.
- 2D materials-based next-generation multidimensional photodetectors.Light, science & applications · 2025Review
- Miniaturized chaos-assisted Spectrometer.Light, science & applications · 2025Article
- Strain-Engineered Adaptive 2D Photodetectors: A New Approach to Miniaturized Reconstructive Spectrometry.Nano letters · 2025Article
- 2D computational photodetectors enabling multidimensional optical information perception.Nature communications · 2025Review
- Interfacial Engineering of Degenerately Doped VSmall methods · 2025Article
- Miniaturized spectral sensing with a tunable optoelectronic interface.Science advances · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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
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Registered trials
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