Linear Enhanced 3D Nanofluid Force‐Electric Conversion Device

W Wenbin He L Li Xu G Gengchen Yu (School of Integrated Circuits Industry‐Education‐Research Institute of Advanced Materials and Technology for Integrated Circuits Institutes of Physical Science and Information Technology Anhui University Hefei 230601 P. R. China) K Kai Wang D Dian Bao (Hubei key laboratory of energy storage and power battery School of Mathematics Physics and Optoelectronic Engineering Hubei University of Automotive Technology Shiyan 442002 P. R. China) X Xincao Tang (Hubei key laboratory of energy storage and power battery School of Mathematics Physics and Optoelectronic Engineering Hubei University of Automotive Technology Shiyan 442002 P. R. China) X Xin Zhou J Jun Zhang T Tao Huang N Ning Li M Mengdi Guo (Princess Margaret Cancer Centre, University Health Network) Y Yang Yue Y Yanan Ma

Abstract

AbstractThe inherent trade‐off between permeability and selectivity has constrained further improvement of passive linear force‐electric conversion performance in nanofluidic pressure sensors. To overcome this limitation, a 3D nanofluidic membrane with high mechanical strength utilizing aramid nanofibers/carbon nanofiber (ANF/CNF) dual crosslinking is developed. Due to the abundant surface functional groups of CNF and the high mechanical strength of ANF, this large‐scale integrated 3D nanofluidic membrane exhibits advantages of high flux, high porosity, and short ion transport path, demonstrating superior force‐electric response compared to conventional 1D and 2D configurations. The enhancement mechanism of the ANF/CNF membrane is systematically investigated through experimental results and theoretical calculations. The optimized device has a sensitivity of 111 nA cm−2 kPa−1, a response/recovery time of 63/68 ms, and a stability of 45 000 cycles. This study successfully overcomes the inherent performance limitations of traditional nanofluidic membranes, offering promising potential for applications across artificial intelligence, the Internet of Things, and smart wearable devices.

Article Details

Volume / Issue Vol. 37, Issue 8
Published February 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (13)

W

Wenbin He

L

Li Xu

G

Gengchen Yu

School of Integrated Circuits Industry‐Education‐Research Institute of Advanced Materials and Technology for Integrated Circuits Institutes of Physical Science and Information Technology Anhui University Hefei 230601 P. R. China

K

Kai Wang

D

Dian Bao

Hubei key laboratory of energy storage and power battery School of Mathematics Physics and Optoelectronic Engineering Hubei University of Automotive Technology Shiyan 442002 P. R. China

X

Xincao Tang

Hubei key laboratory of energy storage and power battery School of Mathematics Physics and Optoelectronic Engineering Hubei University of Automotive Technology Shiyan 442002 P. R. China

X

Xin Zhou

J

Jun Zhang

T

Tao Huang

N

Ning Li

M

Mengdi Guo

Princess Margaret Cancer Centre, University Health Network

Y

Yang Yue

Y

Yanan Ma