Enhanced spontaneous polarization in directional interlayer sliding γ‐ InSe for self‐powered, all‐day visual adaptation and motion perception
Source abstract
Abstract
Abstract Conventional machine visions, which rely on complex algorithms and hardware that separate image acquisition from processing, face challenges with latency and power consumption in real‐time information perception. While neuromorphic bio‐inspired devices present a promising alternative, their typical dependence on charge trapping and de‐trapping mechanisms often constrains response speed and limits their applicability in low‐power, real‐time motion perception scenarios. In this study, we develop a functionally retina‐inspired optoelectronic sensor based on two‐dimensional γ‐InSe, where engineered interlayer sliding enhances spontaneous polarization. Leveraging the photo‐pyroelectric effect under zero‐bias operation, the sensor emulates the visual adaptation functions of the snake retina. Configured as a 5 × 5 array, it achieves integrated spatiotemporal perception over a broad spectral range (400–1100 nm), enabling all‐day motion tracking. The sensor exhibits a rapid response time of 37.4 ms, a wide dynamic range of 103 dB, and reliable decoding of motion trajectories under varying illumination—all in a self‐powered mode. When integrated with a neural network, the system achieves simultaneous inference of multiple target parameters, including direction, velocity, ambient lighting conditions, and rotation, achieving trajectory recognition accuracy exceeding 99.6%. image
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Research context
OpenAlex topics: Advanced Memory and Neural Computing · Neural Networks and Reservoir Computing · Ferroelectric and Negative Capacitance Devices
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Integrated Optoelectronics, and Key Laboratory of UV‐Emitting Materials and Technology of Ministry of Education Northeast Normal University Changchun The People's Republic of China
Institute for Advanced Study, Shenzhen University Shenzhen The People's Republic of China
References (71)
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