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

Author:

Zhou Pan‐Ke1,Li Yiping1,Zeng Tao2,Chee Mun Yin3,Huang Yuxing1,Yu Ziyue1,Yu Hongling1,Yu Hong1,Huang Weiguo4,Chen Xiong1ORCID

Affiliation:

1. State Key Laboratory of Photocatalysis on Energy and Environment, and Key Laboratory of Molecular Synthesis and Function Discovery, College of Chemistry Fuzhou University Fujian 350108 China

2. Department of Materials Science and Engineering National University of Singapore Singapore 117575 Singapore

3. School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore

4. State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences 155 Yangqiao West Road Fuzhou, Fujian 350002 China

Abstract

AbstractMemristors 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 TiO2 layer on the COF‐ODA film, a built‐in electric field between the COF‐TiO2 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.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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