Multiscale modelling of strain-resistance behaviour for graphene rubber composites under large deformation
Author:
Affiliation:
1. Applied Mechanics Laboratory
2. Department of Engineering Mechanics
3. Tsinghua University
4. Beijing 100084
5. China
Abstract
The strain-resistance behavior of graphene rubber composites under large deformation is studied through molecular dynamics simulations.
Funder
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
General Materials Science
Link
http://pubs.rsc.org/en/content/articlepdf/2019/NR/C9NR05036A
Reference34 articles.
1. Stretchable, Transparent Graphene Interconnects for Arrays of Microscale Inorganic Light Emitting Diodes on Rubber Substrates
2. Sensitive, High-Strain, High-Rate Bodily Motion Sensors Based on Graphene–Rubber Composites
3. Highly Sensitive, Wearable, Durable Strain Sensors and Stretchable Conductors Using Graphene/Silicon Rubber Composites
4. Electrically conductive thermoplastic elastomer nanocomposites at ultralow graphene loading levels for strain sensor applications
5. A highly stretchable and sensitive strain sensor based on graphene–elastomer composites with a novel double-interconnected network
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