Bias-programmable linear-to-nonlinear photoresponse for filter-free single-pixel VIS–NIR discrimination

Abstract Filter-free discrimination of visible (VIS) and near-infrared (NIR) light within a single photodetector pixel remains challenging because conventional photodiodes typically require optical filters or multiple detector elements. This work reports a monolithic nonlinear back-to-back photodiode (NL-BPD) that enables bias-programmable reconfiguration between high-linear-dynamic-range (LDR) photodetection and nonlinear spectral-discrimination modes. By changing the bias from − 0.5 V to + 0.5 V, the device's initially independent linear responses in both VIS and NIR channels (LDRs ≥ 100 dB) evolve into a nonlinear regime in which the VIS response reverses polarity with increasing light intensity while the NIR response remains monotonic. This behavior is enabled by defect-assisted transport pathways formed through partial interfacial reactions between the highly conductive PEDOT:PSS interlayer and MAPbI 3 . Together with the optimized device architecture, this interfacial current-path engineering reduces resistive bottlenecks and promotes cooperative carrier extraction from both absorbers. The resulting electrical signatures allow mixed VIS–NIR signals to be decoded from a single electrical output without optical filters or spatially separated pixels. The NL-BPD enables accurate spectral reconstruction (average R 2 = 0.9996), demonstrates single-point pulse oximetry, and achieves > 96% accuracy in normalized-difference-vegetation-index-based vegetation health classification. These results establish bias-programmable nonlinear photodetection as an effective strategy for single-pixel multispectral sensing.

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Publication Details

Journal
Nano Convergence
Published
2026-10-26
DOI
https://doi.org/10.1186/s40580-026-00585-7
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Bias-programmable linear-to-nonlinear photoresponse for filter-free single-pixel VIS–NIR discrimination

Gun Young Jung, Hyeonghun Kim, Min Kyu Jeon, Jaeyeon Kim et al.
Nano Convergence
Perovskite Materials and Applications
article

Bias-programmable linear-to-nonlinear photoresponse for filter-free single-pixel VIS–NIR discrimination

Gun Young Jung, Hyeonghun Kim, Min Kyu Jeon, Jaeyeon Kim, Yong Geon Lee, Jiyoon Shin, Masroor Alam
article en

Abstract

Abstract Filter-free discrimination of visible (VIS) and near-infrared (NIR) light within a single photodetector pixel remains challenging because conventional photodiodes typically require optical filters or multiple detector elements. This work reports a monolithic nonlinear back-to-back photodiode (NL-BPD) that enables bias-programmable reconfiguration between high-linear-dynamic-range (LDR) photodetection and nonlinear spectral-discrimination modes. By changing the bias from − 0.5 V to + 0.5 V, the device's initially independent linear responses in both VIS and NIR channels (LDRs ≥ 100 dB) evolve into a nonlinear regime in which the VIS response reverses polarity with increasing light intensity while the NIR response remains monotonic. This behavior is enabled by defect-assisted transport pathways formed through partial interfacial reactions between the highly conductive PEDOT:PSS interlayer and MAPbI 3 . Together with the optimized device architecture, this interfacial current-path engineering reduces resistive bottlenecks and promotes cooperative carrier extraction from both absorbers. The resulting electrical signatures allow mixed VIS–NIR signals to be decoded from a single electrical output without optical filters or spatially separated pixels. The NL-BPD enables accurate spectral reconstruction (average R 2 = 0.9996), demonstrates single-point pulse oximetry, and achieves > 96% accuracy in normalized-difference-vegetation-index-based vegetation health classification. These results establish bias-programmable nonlinear photodetection as an effective strategy for single-pixel multispectral sensing.

Nano ConvergenceVol. 13(1)
Chonnam National University (KR), Agency for Science, Technology and Research (SG), Gwangju Institute of Science and Technology (KR)
Gwangju Institute of Science and Technology, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 24%
Perovskite Materials and Applications
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