Polarization-sensitive in-sensor computing in chiral organic integrated 2D p-n heterostructures for mixed-multimodal image processing
- Authors
- Lee, Je-Jun; Han, Seong-Jun; Choi, Changsoon; Seo, Chaewon; Hwang, Seungkwon; Kim, Jihyun; Hong, Jung Pyo; Jang, Jisu; Kyhm, Jihoon; Kim, Jung Woo; Yu, Byoung-Soo; Lim, Jung Ah; Wang, Gunuk; Kang, Joohoon; Kim, Yonghun; Ahn, Suk-kyun; Ahn, Jongtae; Hwang, Do Kyung
- Issue Date
- 2025-05
- Publisher
- Nature Publishing Group
- Citation
- Nature Communications, v.16, no.1
- 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 mu s) 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.
- Keywords
- LIGHT
- URI
- https://pubs.kist.re.kr/handle/201004/152696
- DOI
- 10.1038/s41467-025-59935-4
- Appears in Collections:
- KIST Article > Others
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