Journal article
Self-Sensing, Ultralight, and Conductive 3D Graphene/Iron Oxide Aerogel Elastomer Deformable in a Magnetic Field
ACS nano, v 9(4), pp 3969-3977
20 Mar 2015
PMID: 25792130
Abstract
Three-dimensional (3D) graphene aerogels (GA) show promise for applications in supercapacitors, electrode materials, gas sensors, and oil absorption due to their high porosity, mechanical strength, and electrical conductivity. However, the control, actuation, and response properties of graphene aerogels have not been well studied. In this paper, we synthesized 3D graphene aerogels decorated with Fe3O4 nanoparticles (Fe3O4/GA) by self-assembly of graphene with simultaneous decoration by Fe3O4 nanoparticles using a modified hydrothermal reduction process. The aerogels exhibit up to 52% reversible magnetic field-induced strain and strain-dependent electrical resistance that can be used to monitor the degree of compression/stretching of the material. The density of Fe3O4/GA is only about 5.8 mg cm–3, making it an ultralight magnetic elastomer with potential applications in self-sensing soft actuators, microsensors, microswitches, and environmental remediation.
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Details
- Title
- Self-Sensing, Ultralight, and Conductive 3D Graphene/Iron Oxide Aerogel Elastomer Deformable in a Magnetic Field
- Creators
- Xiang Xu - Harbin Institute of TechnologyHui Li (Corresponding Author) - Harbin Institute of TechnologyQiangqiang Zhang - Harbin Institute of TechnologyHan Hu - Dalian University of TechnologyZongbin Zhao - Dalian University of TechnologyJihao Li - Shanghai Institute of Applied PhysicsJingye Li - Shanghai Institute of Applied PhysicsYu Qiao - University of California San DiegoYury Gogotsi - Drexel University
- Publication Details
- ACS nano, v 9(4), pp 3969-3977
- Publisher
- American Chemical Society; Washington, DC
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Materials Science and Engineering
- Web of Science ID
- WOS:000353867000059
- Scopus ID
- 2-s2.0-84928963445
- Other Identifier
- 991014877769004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Chemistry, Multidisciplinary
- Chemistry, Physical
- Materials Science, Multidisciplinary
- Nanoscience & Nanotechnology