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Stretchable artificial vision sensor with retinomorphic transistor-reservoir computing
Nano Research 2025, 18(3): 94907191
Published: 23 January 2025
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Artificial visual sensors (AVSs) with bio-inspired sensing and neuromorphic signal processing are essential for next-generation intelligent systems. Conventional optoelectronic devices employed in AVSs operate discretely in terms of sensing, processing, and memorization, and not ideal for applications necessitating shape deformation to achieve wide fields-of-view and deep depths-of-field. Here, we present stretchable artificial visual sensors (S-AVS) capable of concurrently sensing and processing optical signals while adapting to shape deformations. Specifically, these S-AVSs use a stretchable transistor structure with a meticulously engineered photosensitive semiconductor layer, comprising an organic semiconductor, thermoplastic elastomer, and cesium lead bromide quantum dots (CsPbBr3 QDs). They exhibit synaptic behaviors such as excitatory postsynaptic current (EPSC) and paired-pulse facilitation (PPF) under optical signals, maintaining functionality under 30% strain and repeated stretching. The nonlinear response and fading memory effect support in-sensor reservoir computing, achieving image recognition accuracies of 97.46% and 97.1% at 0% and 30% strain, respectively.

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