Graphene nanoparticle strain sensors with modulated sensitivity through tunneling types transition.

Nanotechnology

School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150080, People's Republic of China. MOE Key Lab of Microsystem and Microstructure, Harbin Institute of Technology, Harbin 150080, People's Republic of China.

Published: October 2019

Highly sensitive strain sensors show great potential for use in wearable health monitoring, autonomous intelligent robots and biomimetic prosthetics. The current resistive strain sensors mainly work through piezoresistors. Here, the robust tunneling mechanism based nanoscale strain sensors with high sensitivity are reported. The strain sensors are fabricated from graphene nanoparticle film. The sensitivity of graphene nanoparticle strain sensors could be tunable through the modulation of tunneling type, suggesting a theoretical support in performance optimization of tunneling strain sensors. The output characterization indicates the direct tunneling (DT) and Fowler-Nordheim tunneling (FNT) are dominant for charge carrier transport in the low voltage and high voltage regions, respectively. It is found that gauge factors are ∼79 at low voltage of 0-4 V, and ∼110 at high voltage of 20-40 V, showing profound dependence on DT and FNT types. The strain sensor bearing 0.3% strain shows a great stability over 100 cycles at bias voltage of 1 V and 40 V, respectively. An integrated strain sensor array with 5 × 5 patterned graphene nanoparticle film on a polyethylene terephthalate substrate is fabricated and demonstrates great spatial strain distribution, guiding the design for flexible and transparent strain sensor e-skins.

Download full-text PDF

Source
http://dx.doi.org/10.1088/1361-6528/ab2d64DOI Listing

Publication Analysis

Top Keywords

strain sensors
28
graphene nanoparticle
16
strain
12
strain sensor
12
nanoparticle strain
8
nanoparticle film
8
low voltage
8
high voltage
8
sensors
7
tunneling
6

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!