Structural Engineering for High Sensitivity, Ultrathin Pressure Sensors Based on Wrinkled Graphene and Anodic Aluminum Oxide Membrane

Nature-motivated pressure sensors have been greatly important components integrated into flexible electronics and applied in artificial intelligence. Here, we report a high sensitivity, ultrathin, and transparent pressure sensor based on wrinkled graphene prepared by a facile liquid-phase shrink method. Two pieces of wrinkled graphene are face to face assembled into a pressure sensor, in which a porous anodic aluminum oxide (AAO) membrane with the thickness of only 200 nm was used to insulate the two layers of graphene. The pressure sensor exhibits ultrahigh operating sensitivity (6.92 kPa-1), resulting from the insulation in its inactive state and conduction under compression. Formation of current pathways is attributed to the contact of graphene wrinkles through the pores of AAO membrane. In addition, the pressure sensor is also an on/off and energy saving device, due to the complete isolation between the two graphene layers when the sensor is not subjected to any pressure. We believe that our high-performance pressure sensor is an ideal candidate for integration in flexible electronics, but also paves the way for other 2D materials to be involved in the fabrication of pressure sensors.

Medienart:

E-Artikel

Erscheinungsjahr:

2017

Erschienen:

2017

Enthalten in:

Zur Gesamtaufnahme - volume:9

Enthalten in:

ACS applied materials & interfaces - 9(2017), 28 vom: 19. Juli, Seite 24111-24117

Sprache:

Englisch

Beteiligte Personen:

Chen, Wenjun [VerfasserIn]
Gui, Xuchun [VerfasserIn]
Liang, Binghao [VerfasserIn]
Yang, Rongliang [VerfasserIn]
Zheng, Yongjia [VerfasserIn]
Zhao, Chengchun [VerfasserIn]
Li, Xinming [VerfasserIn]
Zhu, Hai [VerfasserIn]
Tang, Zikang [VerfasserIn]

Links:

Volltext

Themen:

Anodic aluminum oxide
Flexible electronics
Graphene
Journal Article
Pressure sensor
Wrinkled structures

Anmerkungen:

Date Completed 30.07.2018

Date Revised 30.07.2018

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1021/acsami.7b05515

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM273347519