Polarization-sensitive in-sensor computing in chiral organic integrated 2D p-n heterostructures for mixed-multimodal image processing

Sensor-based computing minimizes latency and energy consumption by processing data at the capture point, thereby eliminating extensive data transfer and enabling real-time decision-making. Here, we present a breakthrough in in-sensor computing via circularly polarized light detectors that integrate cholesteric liquid crystal reflectors with two-dimensional van der Waals p-n heterostructures. Our device exhibits a high dissymmetry factor (1.90), allowing effective separation of mixed circularly polarized images, along with a rapid photoresponse (4 μs) and wide linear dynamic range (up to 114.1 dB), suitable for analog multiply-and-accumulate operations in convolution-based in-sensor computing. Harnessing these detectors, we propose mixed-multimodal in-sensor computing using the chiral state of circularly polarized light to dynamically control responsivity, which enables the blending of two arbitrary image processing modes within a single, non-reconfigurable circuit. By effectively integrating polarization-sensitive detectors into the in-sensor computing framework, the proposed architecture preserves kernel optimization capabilities while simplifying circuit complexity.

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Publication Details

Journal
Nature Communications
Published
2025-05-19
DOI
https://doi.org/10.1038/s41467-025-59935-4
Citations
14
Primary Topic
Luminescence and Fluorescent Materials
Type
article
Field-Weighted Citation Impact
7.25

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article

Polarization-sensitive in-sensor computing in chiral organic integrated 2D p-n heterostructures for mixed-multimodal image processing

Changsoon Choi, Je‐Jun Lee, Jung Pyo Hong, Suk‐kyun Ahn et al.
14 citations
Nature Communications
Luminescence and Fluorescent Materials
7.25
article

Polarization-sensitive in-sensor computing in chiral organic integrated 2D p-n heterostructures for mixed-multimodal image processing

Changsoon Choi, Je‐Jun Lee, Jung Pyo Hong, Suk‐kyun Ahn, Jihoon Kyhm, Seungkwon Hwang, Jung Ah Lim, Joohoon Kang, Do Kyung Hwang, Gunuk Wang, Jongtae Ahn, Jung Ho Kim, Jihyun Kim, Yonghun Kim, C. S. Seo, S.H. Han, Byoung‐Soo Yu, Jisu Jang
article en
14 citations

Abstract

Sensor-based computing minimizes latency and energy consumption by processing data at the capture point, thereby eliminating extensive data transfer and enabling real-time decision-making. Here, we present a breakthrough in in-sensor computing via circularly polarized light detectors that integrate cholesteric liquid crystal reflectors with two-dimensional van der Waals p-n heterostructures. Our device exhibits a high dissymmetry factor (1.90), allowing effective separation of mixed circularly polarized images, along with a rapid photoresponse (4 μs) and wide linear dynamic range (up to 114.1 dB), suitable for analog multiply-and-accumulate operations in convolution-based in-sensor computing. Harnessing these detectors, we propose mixed-multimodal in-sensor computing using the chiral state of circularly polarized light to dynamically control responsivity, which enables the blending of two arbitrary image processing modes within a single, non-reconfigurable circuit. By effectively integrating polarization-sensitive detectors into the in-sensor computing framework, the proposed architecture preserves kernel optimization capabilities while simplifying circuit complexity.

Nature CommunicationsVol. 16(1)
Changwon National University (KR), Yonsei University (KR), Korea University (KR), Korea Institute of Materials Science (KR), Pusan National University (KR), Korea Institute of Science and Technology (KR), Korea University of Science and Technology (KR)
National Research Foundation, Changwon National University, Korea Institute of Science and Technology, National Research Foundation of Korea
Openalex Percentile: Top 2%
Luminescence and Fluorescent Materials
7.25
DOIOpen Access PDFOpenAlex
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