Amorphized graphene: A stiff material with low thermal conductivity
arXiv:1703.06790 · doi:10.1016/j.carbon.2016.03.007
Abstract
All-carbon heterostructures have been produced recently via focused ion beam patterning of single layer graphene. Amorphized graphene is similar to a graphene sheet in which some hexagons are replaced by a combination of pentagonal, heptagonal and octagonal rings. The present investigation provides a general view regarding phonon and load transfer along amorphous graphene. The developed models for the evaluation of mechanical and thermal conductivity properties yield accurate results for pristine graphene and acquired findings for amorphized graphene films are size independent. Our atomistic results show that amorphous graphene sheets could exhibit a remarkably high elastic modulus of ~500 GPa and tensile strengths of ~50 GPa at room temperature. However, our results show that mechanical properties of amorphous graphene decline at higher temperatures. Furthermore, we show that amorphized graphene present a low thermal conductivity ~15 W/mK which is two orders of magnitude smaller than pristine graphene, and we verify that its thermal conductivity is almost insensitive to temperature since it is dominated by phonon-defect scattering rather than phonon-phonon scattering. Finally, our results show that amorphized graphene structures present a remarkably high elastic modulus and mechanical strength, along with a low thermal conductivity, which is an unusual combination for carbon-based materials.
References in corpus (8)
- Electric Field Effect in Atomically Thin Carbon Films
- The electronic properties of graphene
- Detection of Individual Gas Molecules Absorbed on Graphene
- Length-dependent thermal conductivity in suspended single-layer graphene
- From Point Defects in Graphene to Two-Dimensional Amorphous Carbon
- Charge Transport in Disordered Graphene-Based Low Dimensional Materials
- Transport properties of 2D graphene containing structural defects
- Multiscale modeling of heat conduction in graphene laminates
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