记忆电阻器
材料科学
油藏计算
量子点
光电子学
纳米技术
电子工程
计算机科学
人工神经网络
工程类
机器学习
循环神经网络
作者
Qinghong Lin,Yangbin Zhu,Jiayu Sun,Shitong Peng,Zhen Wang,Kejia You,Xuan Guo,Yue Wang,Deli Li,Liangxu Lin,Yi Zhao,Yang Liu,Fushan Li
标识
DOI:10.1002/adfm.202423548
摘要
Abstract In‐sensor computing hardware with signal sensing and dynamic signal processing capabilities—inspired by the human sensory system—have attracted interest as the rapid proliferation of data sensing and computation in the era of big data. Here, an in‐sensor reservoir computing (RC) system with integrated functions of signal sensing, preprocessing, and RC in a single device is developed, by constructing a full quantum dot optoelectronic memristor (FQDOM) based on a ZnO QDs/CdSe QDs/ZnO QDs heterojunction. The device shows nonlinear and short‐term memory behavior in response to both electrical stimuli and optical signals covering the spectra from ultraviolet to red light. The FQDOM can achieve color perception. The in‐sensor RC system can sense varied types of input signal, exhibiting multisensory fusion capability by fashion‐MNIST classification. More importantly, these proposed FQDOMs can preprocess signal and then send for RC in sensor, which effectively reduces the bit error rate of RC systems. The processing capability of the in‐sensor RC system for temporal signals is further demonstrated by a dynamic gesture perception recognition task, showing an accuracy of up to 92.59%. This research provides an effective way to design advanced in‐sensor computational systems.
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