神经形态工程学
材料科学
极化(电化学)
共形映射
光电子学
弹性体
晶体管
机器视觉
计算机科学
图像传感器
人工智能
转导(生物物理学)
微电子机械系统
等离子体子
稳健性(进化)
帧速率
纳米技术
圆极化
像素
人工神经网络
悬臂梁
灵敏度(控制系统)
电子工程
纳米尺度
光学
计算机视觉
适应(眼睛)
聚合物
量子点
作者
Xiangxiang Li,Shanshuo Liu,Xianfeng Shen,Haorui Zhang,Xin Gao,Xiaoying Zhang,Weiyu Wang,Huiqi Yang,Huiqi Yang,Haifeng Ling,Deyang Ji,Hui Yang,Hui Yang,Wenping Hu
摘要
Micro‑unmanned aerial vehicles urgently require compact, lightweight, and low‑power conformal vision modules capable of wide‑field imaging, polarization perception, and illumination‑adaptive processing. However, the monolithic integration of intrinsic stretchability, polarization sensitivity, and neuromorphic adaptation within a single deformable optoelectronic platform has remained a major challenge. Here, we report an intrinsically stretchable neuromorphic vision transistor array based on a semiconducting composite film consisting of an organic conjugated polymer (TDPP‑Se), CdSe/ZnS quantum dots (QDs), and an elastomeric SEBS matrix. The QDs significantly enhance photoresponsivity and enable gate‑tunable light adaptation, while shear‑aligned polymer chains yield strong polarization sensitivity with a high polarization ratio. The devices integrate sensing, memory, and in‑sensor computing with an ultralow energy consumption of ∼0.56 pJ per synaptic event, and retain stable multimodal performance under tensile strains up to 50%. When conformally laminated onto hemispherical substrates, the system achieves a mechanically tunable FOV from 53° to 149°. When the experimentally measured array responses are computationally mapped onto image preprocessing, the resulting vision framework achieves a classification accuracy of 95.6% under dynamic illumination, strong background interference, and large mechanical deformation. This work establishes a conformal neuromorphic vision platform for robust and energy-efficient artificial vision in micro-autonomous systems.
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