Charge‐Engineered COFs for Biointegrated Memristor Nerves

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Authors: Zhiyuan Meng, Jianguo Wu, Fei Xue, Qichong Zhang, Lei Li, Miao Qi, Shaomin Zhang, Tao Feng, Pengfei Kong, Xiandi Wang, Ping Wang, Xun Han
+3 more Liujing Zhuang, Lei Wei, Miaona Chen
Cited by: 1
References: 33

Abstract

ABSTRACT Restoring motor function after neurological injury requires artificial neural interfaces that emulate biological rate coding with low power and stability. Here, we present a molecular‐level strategy to engineer covalent organic frameworks (COFs) for biointegrated memristors as artificial efferent nerves. Leveraging intrinsic porosity and chemical tunability, we modulate ionic transport and memristive dynamics via charged group functionalization. We synthesize positively and negatively charged COF nanosheets and reveal polarity‐dependent memristive behaviors. In a conductive‐filament memristor architecture, negatively charged COFs enhance electrostatic interactions with mobile metal ions, more effectively regulating filament nucleation and rupture. Consequently, negatively charged devices reduce the switching voltage to 0.5 V, deliver an ON/OFF ratio > 10 5 , and lower power consumption to 0.04 nW, with suppressed leakage of ∼5 pA and stable operation over 5000 bending cycles. In vivo, the COF memristor translates neuronal spike trains into smooth, graded muscle contractions in a mouse leg, emulating physiological motor control. This work establishes charge‐engineered COFs as a platform for neuromorphic and bioelectronic technologies.

Fields of Study & Subjects

Covalent Organic Framework Applications Advanced Memory and Neural Computing Conducting polymers and applications

Publication details

Journal / source
Advanced Materials
Publisher
Wiley
Volume
38
Issue
31
Pages
e73189–e73189
Publication date
24 April 2026
Language
EN