Charge‐Engineered COFs for Biointegrated Memristor Nerves
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
Authors (15)
Zhiyuan Meng
College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China
Jianguo Wu
School of Life Sciences and School of Sustainability, Arizona State University
Fei Xue
State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering
Qichong Zhang
Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics
Lei Li
Miao Qi
The Molecular Foundry
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
Tao Feng
Pengfei Kong
Zhejiang Lab Hangzhou China
Xiandi Wang
College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China
Ping Wang
Xun Han
Liujing Zhuang
College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China
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
Mengxiao Chen
College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou China