2021
DOI: 10.1063/5.0049592
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Fragmentation and structural transitions of few-layer graphene under high shear stress

Abstract: A key factor that determines the mechanical and electrical performance of graphene-based materials and devices is how graphene behaves under extreme conditions, yet the response of few-layer graphene to high shear stress has not been investigated experimentally. Here we applied high pressure and shear to graphene powder using a rotational diamond anvil cell and studied the recovered sample with multiple means of characterization. Sustaining high pressure and shear, graphene breaks into nanometer-long clusters … Show more

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Cited by 5 publications
(9 citation statements)
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“…In figure 5, the probability density distributions of porous graphene samples are presented. For P 1 , P 2 and P 3 , the histograms of S, D 2 , and Q are clustered closely. Furthermore, probability density distributions of Q in figure 5(c) are closer to the Gaussian distribution compared with that in figures 5(a) and (b).…”
Section: Boundary Condition (1)mentioning
confidence: 95%
See 3 more Smart Citations
“…In figure 5, the probability density distributions of porous graphene samples are presented. For P 1 , P 2 and P 3 , the histograms of S, D 2 , and Q are clustered closely. Furthermore, probability density distributions of Q in figure 5(c) are closer to the Gaussian distribution compared with that in figures 5(a) and (b).…”
Section: Boundary Condition (1)mentioning
confidence: 95%
“…(2.6) present S, D 2 , and Q, respectively. P 1 , P 2 , P 3 , P 4 , and P 5 represent 0.1%, 0.5%, 1%, 3%, and 5%, respectively).…”
Section: Finite Element Computationmentioning
confidence: 99%
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“…Figure g highlights new sp 3 bonds (shown in green) and sp-free edges (shown in red) during compression and shear. Recent experiments and simulations demonstrated that sp 3 -carbon nanoforms transformed from graphene under extreme compression or shear, ,, which should be relative to the rebonding mechanism of sp 3 atoms originating from local damaged fragments. Although nonlinear deformation and local damage appear in graphene networks, the whole structure can still sustain an anomalously large strain before failure …”
mentioning
confidence: 99%