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- Title
One‐Dimensional Covalent Organic Framework‐Based Multilevel Memristors for Neuromorphic Computing.
- Authors
Zhou, Pan‐Ke; Li, Yiping; Zeng, Tao; Chee, Mun Yin; Huang, Yuxing; Yu, Ziyue; Yu, Hongling; Yu, Hong; Huang, Weiguo; Chen, Xiong
- 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 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.
- Subjects
MEMRISTORS; NEUROPLASTICITY; ELECTRIC fields; RANDOM access memory; IMAGE recognition (Computer vision); NONVOLATILE random-access memory
- Publication
Angewandte Chemie, 2024, Vol 136, Issue 20, p1
- ISSN
0044-8249
- Publication type
Article
- DOI
10.1002/ange.202402911