journal article·2026-01-28

An All-Optical-Controlled Synaptic Device Based on an Organic Mixed Ionic-Electronic Conductor

Minning Wang, Sen Zhang, Yuxin Kong, Bingjun Wang, Shijie Wang, Jing Guo, Yuxiang Li, Wei Ma

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Abstract

Machine vision systems possess the abilities of converting captured image signals into digital signals and further processing these signals to extract features, replacing human eyes for measurement and judgment. Optoelectronic memristors with the functionalities of photodetection, memory, and processing are a promising candidate used in a machine vision system. However, the existing optoelectronic memristors are limited by inevitable electrical signal input, complex fabrication processes, inhomogeneous integration of different materials, and high cost. In this work, we designed and fabricated a single organic mixed ionic-electronic conductor (OMIEC)-based all-optical-controlled synaptic device (AOCSD), which can achieve three functionalities of reading, light-writing, and light-erasing using three optical-controlled modules, separately. During device operation, there is no electrical input, which reduces the complexity of the programming. Furthermore, this OMIEC-based AOCSD can be used to emulate various visual synaptic plasticity behaviors in an all-optical-controlled manner, making it possible to realize passive machine vision hardware near the edge.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Transition Metal Oxide Nanomaterials · Neural Networks and Reservoir Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory for Mechanical Behavior of Materials

Xi’an Jiaotong University

School of Materials Science and Engineering

Xi’an University of Science and Technology

Funding

National Key Research and Development Program of China · Natural Science Basic Research Program of Shaanxi Province · Shaanxi Key Science and Technology Innovation Team Project · National Natural Science Foundation of China · Higher Education Discipline Innovation Project

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