@article{Zhang2025, 
author = {Xueyi Zhang and Nianzi Sui and Min Li and Suyun Wang and Shuangshuang Shao and Wanrong Liu and Jia Sun and Junliang Yang and Jianwen Zhao},
title = {Roll-to-roll gravure printing ultra-flexible sustained-photoconductivity carbon nanotube photoelectronic synaptic transistors for bio-inspired visual perception and self-recovery simulation},
year = {2025},
journal = {Nano Research},
volume = {18},
number = {5},
pages = {94907350},
keywords = {single-walled carbon nanotubes, roll-to-roll gravure printing, photoelectronic synaptic transistors, ultra-flexibility, sustained photoconductivity},
url = {https://www.sciopen.com/article/10.26599/NR.2025.94907350},
doi = {10.26599/NR.2025.94907350},
abstract = {The development of large-area high-performance flexible photoelectronic synaptic devices has become a hot topic in the field of neuromorphic computing and artificial vision systems. In this work, we have successfully prepared a large-area, ultra-flexible semiconducting single-walled carbon nanotubes (sc-SWCNTs) photoelectronic synaptic thin-film transistors (TFTs) array (33 × 34) using solution-processable AlOx thin film as the dielectrics by roll-to-roll gravure printing. Our photoelectronic synaptic TFTs exhibit excellent electrical properties with high switching ratio (≥ 105), low subthreshold swing (73 mV·dec−1), excellent photoresponse properties over a wide wavelength range (from 270 to 650 nm), sustained photoconductivity effect (only 26.7% drop after removing light source for 36,000 s) and remarkable mechanical reliability and flexibility (maintaining excellent electrical properties after bending more than 15,000 cycles with a bending radius of 5 mm). In addition, concepts such as multimodal optoelectronic synaptic plasticity, optical writing speed perception simulation, and human eye self-recovery model have been successfully demonstrated using printed flexible sc-SWCNTs photoelectronic neuromorphic TFTs arrays. More importantly, we systematically investigated the response characteristics of these devices under deep ultraviolet light stimulation and, for the first time, successfully simulated bio-inspired visual perception self-recovery including the dynamic transition of the visual system from clarity to blurriness and their self-recovery over time. This work indicates that our photoelectronic neuromorphic TFT devices have great practical potential in human–computer interaction, environment perception, and visual simulation.}
}