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

Je-Jun Lee, Seong-Jun Han, Changsoon Choi, Chaewon Seo, Seungkwon Hwang, Jihyun Kim, Jung Pyo Hong, Jisu Jang, Jihoon Kyhm, Jung Woo Kim, Byoung-Soo Yu, Jung Ah Lim, Gunuk Wang, Joohoon Kang, Yonghun Kim, Suk-kyun Ahn (), Jongtae Ahn () and Do Kyung Hwang ()
Additional contact information
Je-Jun Lee: Korea Institute of Science and Technology (KIST)
Seong-Jun Han: Korea Institute of Science and Technology (KIST)
Changsoon Choi: Korea Institute of Science and Technology (KIST)
Chaewon Seo: Pusan National University
Seungkwon Hwang: Korea Institute of materials Science (KIMS)
Jihyun Kim: Yonsei University
Jung Pyo Hong: Korea Institute of Science and Technology (KIST)
Jisu Jang: Korea Institute of Science and Technology (KIST)
Jihoon Kyhm: Korea Institute of Science and Technology (KIST)
Jung Woo Kim: Korea Institute of Science and Technology (KIST)
Byoung-Soo Yu: Korea Institute of Science and Technology (KIST)
Jung Ah Lim: University of Science and Technology (UST)
Gunuk Wang: Korea University
Joohoon Kang: Yonsei University
Yonghun Kim: Korea Institute of materials Science (KIMS)
Suk-kyun Ahn: Pusan National University
Jongtae Ahn: Changwon National University
Do Kyung Hwang: Korea Institute of Science and Technology (KIST)

Nature Communications, 2025, vol. 16, issue 1, 1-11

Abstract: 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.

Date: 2025
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DOI: 10.1038/s41467-025-59935-4

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