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One‐Dimensional Covalent Organic Framework‐Based Multilevel Memristors for Neuromorphic Computing

Pan‐Ke Zhou, Yiping Li, Tao Zeng, Mun Yin Chee, Yuxing Huang, Ziyue Yu, Hongling Yu, Hong Yu, Weiguo Huang, Xiong Chen

2024Angewandte Chemie International Edition65 citationsDOIOpen Access PDF

Abstract

Abstract Memristors are essential components of neuromorphic systems that mimic the synaptic plasticity observed in biological neurons. In this study, a novel approach employing one‐dimensional covalent organic framework (1D COF) films was explored to enhance the performance of memristors. The unique structural and electronic properties of two 1D COF films (COF‐4,4′‐methylenedianiline (MDA) and COF‐4,4′‐oxydianiline (ODA)) offer advantages for multilevel resistive switching, which is a key feature in neuromorphic computing applications. By further introducing a TiO 2 layer on the COF‐ODA film, a built‐in electric field between the COF‐TiO 2 interfaces could be generated, demonstrating the feasibility of utilizing COFs as a platform for constructing memristors with tunable resistive states. The 1D nanochannels of these COF structures contributed to the efficient modulation of electrical conductance, enabling precise control over synaptic weights in neuromorphic circuits. This study also investigated the potential of these COF‐based memristors to achieve energy‐efficient and high‐density memory devices.

Topics & Concepts

Neuromorphic engineeringMemristorResistive random-access memoryMaterials scienceResistive touchscreenNanotechnologyCovalent organic frameworkKey (lock)ConductanceComputer scienceComputer architectureVoltageArtificial neural networkElectronic engineeringArtificial intelligenceElectrical engineeringEngineeringPhysicsComputer securityComposite materialPorosityCondensed matter physicsComputer visionCovalent Organic Framework ApplicationsAdvanced Memory and Neural ComputingLuminescence and Fluorescent Materials
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