A visible light-triggered artificial photonic nociceptor with adaptive tunability of threshold
A visible light-triggered artificial photonic nociceptor with adaptive tunability of threshold
复制标题
具有自适应阈值可调性的可见光触发人工光子伤害感受器
DOI：
10.1039/d0nr07297d
复制
发表时间：
2021
期刊：
影响因子：
6.7
通讯作者：
Run-Wei Li
中科院分区：
文献类型：
--
作者：
Guodong Gong;Shuang Gao;Zhuolin Xie;Xiaoyu Ye;Ying Lu;Huali Yang;Xiaojian Zhu;Run-Wei Li
人工光子伤害感受器，可以准确地模拟人类视觉伤害性通路的激活是高度期望的先进的智能光电信息处理系统的发展。然而，这种人工装置的实现需要复杂的材料设计，并且至今仍悬而未决。在此，我们展示了一种可见光触发的人工伤害感受器，具有简单的ITO/CeO 2 −x/Pt三明治结构，可以很好地再现人类视觉系统的疼痛感知特性。CeO 2 −x层中丰富的氧空位导致可见光激活，而由于两个电极的功函数差异而产生的显着内置电场使器件即使在自供电模式下也能工作。关键的伤害性特征，包括阈值，无适应，松弛和敏化，在设备中实现，并归因于CeO 2 −x层内的氧空位相关的电子捕获和释放过程。更重要的是，可以使用低于1V的外部电压来容易地操纵用于激活设备的阈值光强度，类似于人类视觉系统的阈值的环境亮度依赖性可调谐性。这项工作为下一代智能和低功耗感知系统的开发开辟了新的途径，如视觉假体，人工眼睛和人形机器人。
An artificial photonic nociceptor that can accurately emulate the activation of a human visual nociceptive pathway is highly desired for the development of advanced intelligent optoelectronic information processing systems. However, the realization of such an artificial device needs sophisticated materials design and is pending to date. Herein, we demonstrate a visible light-triggered artificial nociceptor, with a simple ITO/CeO2−x/Pt sandwich structure, that can well reproduce the pain-perceptual characteristics of the human visual system. The abundant oxygen vacancies in the CeO2−x layer account for visible light activation, and the notable built-in electric field due to work function difference of the two electrodes enables the device to work even in a self-powered mode. Key nociceptive characteristics, including threshold, no adaptation, relaxation, and sensitization, are realized in the device and are attributed to the oxygen vacancy-associated electron trapping and detrapping processes within the CeO2−x layer. More importantly, the threshold light intensity to activate the device can be readily manipulated using a sub-1 V external voltage, resembling the ambient luminance-dependent tunability of threshold of the human visual system. This work opens up a new avenue towards the development of next-generation intelligent and low-power perceptual systems, such as visual prostheses, artificial eyes, and humanoid robots.