Zhao Wenxiao, Lin Zexi, Chen Hao, Xu Sheng, Chen Enguo, Guo Tailiang, Ye Yun, Chen Huipeng
Institute of Optoelectronic Display, National & Local United Engineering Lab of Flat Panel Display Technology, Fuzhou University, Fuzhou 350002, China.
Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou 350100, China.
Nano Lett. 2024 Aug 14;24(32):9937-9945. doi: 10.1021/acs.nanolett.4c02447. Epub 2024 Aug 2.
The processing of multicolor noisy images in visual neuromorphic devices requires selective absorption at specific wavelengths; however, it is difficult to achieve this because the spectral absorption range of the device is affected by the type of material. Surprisingly, the absorption range of perovskite materials can be adjusted by doping. Herein, a CdCl co-doped CsPbBr nanocrystal-based photosensitive synaptic transistor (PST) is reported. By decreasing the doping concentration, the response of the PST to short-wavelength light is gradually enhanced, and even weak light of 40 μW·cm can be detected. Benefiting from the excellent color selectivity of the PST device, the device array is applied to feature extraction of target blue items and removal of red and green noise, which results in the recognition accuracy of 95% for the noisy MNIST data set. This work provides new ideas for the application of novel transistors integrating sensors and storage computing.
视觉神经形态器件中多色噪声图像的处理需要在特定波长下进行选择性吸收;然而,由于器件的光谱吸收范围受材料类型影响,很难实现这一点。令人惊讶的是,钙钛矿材料的吸收范围可以通过掺杂来调节。在此,报道了一种基于CdCl共掺杂CsPbBr纳米晶体的光敏突触晶体管(PST)。通过降低掺杂浓度,PST对短波长光的响应逐渐增强,甚至可以检测到40 μW·cm的弱光。受益于PST器件优异的颜色选择性,该器件阵列被应用于目标蓝色物品的特征提取以及红色和绿色噪声的去除,对于有噪声的MNIST数据集,识别准确率达到了95%。这项工作为集成传感器和存储计算的新型晶体管的应用提供了新思路。