Far‐Red‐Centered Wavelength‐Selective Non‐Fullerene Organic Photodetector Arrays for Fluorescence‐Encoded In‐Sensor Computing

ABSTRACT Near‐infrared fluorescence recognition becomes challenging when coupled to micro‐action execution, because the task requires not only weak‐signal detection but also reliable compression of high‐dimensional optical information into low‐dimensional events constrained by real device physics. Here, we develop a cross‐layer architecture integrating a far‐red‐centered wavelength‐selective organic photodetector array, programmable current‐domain encoding, and a physics‐guided vision‐to‐motion interface. The DIBSQ: SBDTIC bulk‐heterojunction device exhibits a 590–765 nm response band, with a peak external quantum efficiency of 15.3% at 657 nm, a peak responsivity of 83.9 mA/W at 721 nm, rise/fall times of 19.63/18.11 µs, and a −3 dB bandwidth of 17.6 kHz. Pixel‐by‐pixel calibration and write‐then‐recheck measurements of the 6 × 6 array are used to quantify spatial dispersion and temporal fluctuations for a hardware uncertainty budget, yielding four recognition‐current states centered at 0, 10, 20, and 30 nA. A two‐level threshold and binary encoding scheme then converts the recognition result into two‐bit X/Y motion primitives. In an independent 1 µm piezoelectric closed‐loop experiment, the physics‐guided neural network achieves an RMSE of 7.1 nm.

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Publication Details

Journal
Advanced Optical Materials
Published
2026-10-27
DOI
https://doi.org/10.1002/adom.71993
Primary Topic
Organic Electronics and Photovoltaics
Type
article
Field-Weighted Citation Impact
0.00

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article

Far‐Red‐Centered Wavelength‐Selective Non‐Fullerene Organic Photodetector Arrays for Fluorescence‐Encoded In‐Sensor Computing

Kaicheng Yu, Yu Sun, Xiaofeng Yang, Shangyang Zhou et al.
2 links
Advanced Optical Materials
Organic Electronics and Photovoltaics
article

Far‐Red‐Centered Wavelength‐Selective Non‐Fullerene Organic Photodetector Arrays for Fluorescence‐Encoded In‐Sensor Computing

Kaicheng Yu, Yu Sun, Xiaofeng Yang, Shangyang Zhou, Yuqing Jian, Jia Yuan, Renjie Ju, Wenjie Zhou, Chengxin Zheng
article en

Abstract

ABSTRACT Near‐infrared fluorescence recognition becomes challenging when coupled to micro‐action execution, because the task requires not only weak‐signal detection but also reliable compression of high‐dimensional optical information into low‐dimensional events constrained by real device physics. Here, we develop a cross‐layer architecture integrating a far‐red‐centered wavelength‐selective organic photodetector array, programmable current‐domain encoding, and a physics‐guided vision‐to‐motion interface. The DIBSQ: SBDTIC bulk‐heterojunction device exhibits a 590–765 nm response band, with a peak external quantum efficiency of 15.3% at 657 nm, a peak responsivity of 83.9 mA/W at 721 nm, rise/fall times of 19.63/18.11 µs, and a −3 dB bandwidth of 17.6 kHz. Pixel‐by‐pixel calibration and write‐then‐recheck measurements of the 6 × 6 array are used to quantify spatial dispersion and temporal fluctuations for a hardware uncertainty budget, yielding four recognition‐current states centered at 0, 10, 20, and 30 nA. A two‐level threshold and binary encoding scheme then converts the recognition result into two‐bit X/Y motion primitives. In an independent 1 µm piezoelectric closed‐loop experiment, the physics‐guided neural network achieves an RMSE of 7.1 nm.

Advanced Optical Materials
Shanghai Jiao Tong University (CN), Fudan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 24%
Organic Electronics and Photovoltaics
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