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 2025-06-26T09:00:11Z 2025-06-26T09:00:11Z 2025-06-23 2025-05 https://pubs.kist.re.kr/handle/201004/152696 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. English Nature Publishing Group Polarization-sensitive in-sensor computing in chiral organic integrated 2D p-n heterostructures for mixed-multimodal image processing Article 10.1038/s41467-025-59935-4 1 Nature Communications, v.16, no.1 Nature Communications 16 1 Y scie scopus 001491378600007 2-s2.0-105005439769 Multidisciplinary Sciences Science & Technology - Other Topics Article LIGHT