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• W2783284838 startingPage "104001" @default.
• W2783284838 abstract "Graphene is recognized as an emerging 2D nanomaterial for many applications. Assembly of graphene sheets into 3D structures is an attractive way to enable their macroscopic applications and to preserve the exceptional mechanical and physical properties of their constituents. In this study, we develop a coarse-grained (CG) model for 3D graphene foams (GFs) based on the CG model for a 2D graphene sheet by Ruiz et al (2015 Carbon 82 103–15). We find that the size of graphene sheets plays an important role in both the structural and mechanical properties of 3D GFs. When their size is smaller than 10 nm, the graphene sheets can easily stack together under the influence of van der Waals interactions (vdW). These stacks behave like building blocks and are tightly packed together within 3D GFs, leading to high density, small pore radii, and a large Young's modulus. However, if the sheet sizes exceed 10 nm, they are staggered together with a significant amount of deformation (bending). Therefore, the density of 3D GFs has been dramatically reduced due to the loosely packed graphene sheets, accompanied by large pore radii and a small Young's modulus. Under uniaxial compression, rubber-like stress–strain curves are observed for all 3D GFs. This material characteristic is dominated by the vdW interactions between different graphene layers and slightly affected by the out-of-plane deformation of the graphene sheets. We find a simple scaling law between the density ρ and Young's modulus E for a model of 3D GFs. The simulation results reveal structure–property relations of 3D GFs, which can be applied to guide the design of 3D graphene assemblies with exceptional properties." @default.
• W2783284838 created "2018-01-26" @default.
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• W2783284838 date "2018-01-30" @default.
• W2783284838 modified "2023-09-27" @default.
• W2783284838 title "Size of graphene sheets determines the structural and mechanical properties of 3D graphene foams" @default.
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• W2783284838 doi "https://doi.org/10.1088/1361-6528/aaa612" @default.
• W2783284838 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29311421" @default.
• W2783284838 hasPublicationYear "2018" @default.
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