Charge‐Engineered COFs for Biointegrated Memristor Nerves

Z Zhiyuan Meng (College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China) J Jianguo Wu (School of Life Sciences and School of Sustainability, Arizona State University) F Fei Xue (State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering) Q Qichong Zhang (Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics) L Lei Li M Miao Qi (The Molecular Foundry) S Shaomin Zhang (Key Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal) T Tao Feng P Pengfei Kong (Zhejiang Lab Hangzhou China) X Xiandi Wang (College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China) P Ping Wang X Xun Han L Liujing Zhuang (College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China) L Lei Wei (School of Physical Science and Technology, Shanghai Key Laboratory of High-Resolution Electron Microscopy, State Key Laboratory of Advanced Medical Materials and Devices) M Mengxiao Chen (College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China)

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.

Article Details

Volume / Issue Vol. 38, Issue 31
Published June 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (15)

Z

Zhiyuan Meng

College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China

J

Jianguo Wu

School of Life Sciences and School of Sustainability, Arizona State University

F

Fei Xue

State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering

Q

Qichong Zhang

Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics

L

Lei Li

M

Miao Qi

The Molecular Foundry

S

Shaomin Zhang

Key Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal

T

Tao Feng

P

Pengfei Kong

Zhejiang Lab Hangzhou China

X

Xiandi Wang

College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China

P

Ping Wang

X

Xun Han

L

Liujing Zhuang

College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China

L

Lei Wei

School of Physical Science and Technology, Shanghai Key Laboratory of High-Resolution Electron Microscopy, State Key Laboratory of Advanced Medical Materials and Devices

M

Mengxiao Chen

College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China