m+Medelevator.RU
← Поиск публикаций
Advanced materials (Deerfield Beach, Fla.) · 2026

Intrinsically Stretchable Neuromorphic Vision Arrays for Conformal Polarization Imaging and Adaptive Perception.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Li Xiangxiang, Liu Shanshuo, Shen Xianfeng, Zhang Haorui, Gao Xin, Zhang Xiaoying, Wang Weiyu, Yang Huiqi, Ling Haifeng, Ji Deyang, Yang Hui, Hu Wenping

Аннотация

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.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты