2012
DOI: 10.1016/j.jmps.2012.01.002
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Mechanical properties of graphene papers

Abstract: Graphene-based papers attract particular interests recently owing to their outstanding properties, the key of which is their layer-by-layer hierarchical structures similar to the biomaterials such as bone, teeth and nacre, combining intralayer strong sp 2 bonds and interlayer crosslinks for efficient load transfer. Here we firstly study the mechanical properties of various interlayer and intralayer crosslinks via first-principles calculations and then perform continuum model analysis for the overall mechanical… Show more

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Cited by 233 publications
(109 citation statements)
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“…Our affine network model suggests the tunability of network mechanics by controlling either the crosslink ( k , k ′) or polymer ( K ). In experiments, change from k to k ′ could be established by modulate the metal-coordination state, and the effective stiffness K could be elevated from entropy-controlled value ~ k B T / L 2 for a flexible polymer chain ( L is its size), to much higher values in semiflexible nanostructures, e.g carbon nanotubes and graphene16394041. By integrating these thoughts, high-performance responsive materials could be accomplished.…”
Section: Discussionmentioning
confidence: 99%
“…Our affine network model suggests the tunability of network mechanics by controlling either the crosslink ( k , k ′) or polymer ( K ). In experiments, change from k to k ′ could be established by modulate the metal-coordination state, and the effective stiffness K could be elevated from entropy-controlled value ~ k B T / L 2 for a flexible polymer chain ( L is its size), to much higher values in semiflexible nanostructures, e.g carbon nanotubes and graphene16394041. By integrating these thoughts, high-performance responsive materials could be accomplished.…”
Section: Discussionmentioning
confidence: 99%
“…Using composite theories such as the shear-lag model (Liu et al, 2012;Liu and Xu, 2014;Wei et al, 2012), one can predict the mechanical performance of CNC thin films based on the interlayer shear modulus, G and Young's modulus of the CNCs, E. The models developed for the traction potentials are particularly useful as they can be used to obtain values of G as shown in Figure 7A. Using experimentally reported values of the elastic modulus of CNCs in literature (Moon et al, 2011), the shear-lag model (Liu et al, 2012;Liu and Xu, 2014;Wei et al, 2012) can be employed to estimate the effective elastic modulus, E eff , of a CNC thin film.…”
Section: Prediction Of Cnc Neat Film Properties Using Simulation and mentioning
confidence: 99%
“…Using experimentally reported values of the elastic modulus of CNCs in literature (Moon et al, 2011), the shear-lag model (Liu et al, 2012;Liu and Xu, 2014;Wei et al, 2012) can be employed to estimate the effective elastic modulus, E eff , of a CNC thin film. Using specific values of the interlayer shear modulus as reported in the SI, an effective elastic modulus can be estimated for an aligned, CNC thin film as illustrated in Figure 7B.…”
Section: Prediction Of Cnc Neat Film Properties Using Simulation and mentioning
confidence: 99%
“…Nano or micron scaled plates and graphene of arbitrary shapes have been widely used in modern industries such as biomedical devices, nano electro mechanical applications, biochemical purpose, mechanical actuators and nano sensors [1][2][3][4][5][6][7]. Nano scaled structures such as beams and plates have been also widely used in micro-electro mechanical systems (MEMS) for high frequency and high sensitive purposes due to their ultra mechanical, thermal and electrical properties.…”
Section: Introductionmentioning
confidence: 99%