An Optoelectronic Memristor Based on Proton‐Involved Photoreduction for Bimodal Sensing, Memory, and Processing
Year: 2025
Type: article
Abstract: Advanced devices and systems with integrated sensing, memory, and processing functionalities similar to those of the human nervous system are highly desirable for efficient artificial intelligence applications. In this study, an optoelectronic memristor with integrated bimodal sensing, memory, and processing based on graphite oxide (GO)/titanium dioxide (TiO2) nanocomposite is presented. The resistive switching behavior of the memristor is based on proton‐involved photoreduction, and the memristor exhibits humidity‐dependent optical resistive switching and synaptic behaviors similar to an artificial optoelectronic synapse. The plasticity of the artificial synapse can be further modulated by a heterosynapse with an external bias caused by electric field‐driven oxygen migration. These features equip the artificial synapse with not only a combined light/humidity information sensing and memory but also contrast enhancement and attention‐driven functionalities similar to those of the human visual memory system. Moreover, as a proof of concept, a sensory–motion system is constructed, which sends the synaptic feedback of the optoelectronic memristor to direct responses in a robotic arm. This work could provide a fundamental unit for the future development of perception systems in efficient humanoid robots.
Source: Advanced Intelligent Systems
Institution: Northeast Normal University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,970
Award: G6808456041
OpenAlex ID: W4408122931
