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Journal ArticleDOI

Reactive molecular dynamics and experimental study of graphene-cement composites: Structure, dynamics and reinforcement mechanisms

TLDR
In this article, the effects of graphene and graphene oxide on the hydration, microstructures and mechanical properties of cement paste were investigated by using reactive force field molecular dynamics (MD), revealing that functional hydroxyl groups in GO provide non-bridging oxygen (NBO) sites that accept hydrogen-bonds of interlayer water molecules in the calcium silicate hydrate (CSH).
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This article is published in Carbon.The article was published on 2017-05-01. It has received 278 citations till now. The article focuses on the topics: Calcium silicate hydrate & Graphene.

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The influence of biochar shape in cement-based materials

TL;DR: In this article , the authors show that biochar can improve the mechanical properties of cement-based composites by improving the aspect ratio, morphology, and composition linked to the specific biochar source.
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Effect of Stacking Methods on Shape Memory Performance of GO-CF Hybrid Reinforced Composites Prepared by VIHPS

TL;DR: In this paper , the shape fixed rate of composite composites increased and the shape recovered rate decreased with the decrease of X-direction fiber layers with the composite of XXXXX stacking method due to the greater recovery driving force provided by the fiber in the X direction.
Journal ArticleDOI

Avaliação do perfil térmico e calor de hidratação de pastas de cimento com adição de óxido de grafeno

TL;DR: In this paper , a study of pastas de cimento with adição de óxido de grafeno (OG) has been conducted to investigate the effect of nanomaterials on the reação of hidratação.
Journal ArticleDOI

Effects of surface-modified coal-bearing metakaolin and graphene oxide on the properties of cement mortar

TL;DR: In this paper , the combined effects of coal-bearing metakaolin (CMK) and graphene oxide (GO) on the mechanical properties of cement mortar were studied by using zeta potential measurement.
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Influence of Graphene Oxide and Ground Granulated Blast Furnace Slag on Engineering Properties of High-Performance Concretes

TL;DR: In this paper , the effects of combined admixtures of graphene oxide nanoplatelets (GONPs) and ground granulated blast furnace slag (GGBFS) on concrete were studied, and mechanical and physical tests were performed.
References
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Journal ArticleDOI

Fast parallel algorithms for short-range molecular dynamics

TL;DR: In this article, three parallel algorithms for classical molecular dynamics are presented, which can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors.

Fast parallel algorithms for short-range molecular dynamics

TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
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Measurement of the Elastic Properties and Intrinsic Strength of Monolayer Graphene

TL;DR: Graphene is established as the strongest material ever measured, and atomically perfect nanoscale materials can be mechanically tested to deformations well beyond the linear regime.
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Processable aqueous dispersions of graphene nanosheets

TL;DR: It is reported that chemically converted graphene sheets obtained from graphite can readily form stable aqueous colloids through electrostatic stabilization, making it possible to process graphene materials using low-cost solution processing techniques, opening up enormous opportunities to use this unique carbon nanostructure for many technological applications.
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A second-generation reactive empirical bond order (REBO) potential energy expression for hydrocarbons

TL;DR: Brenner as mentioned in this paper presented a second generation potential energy function for solid carbon and hydrocarbon molecules that is based on an empirical bond order formalism, allowing for covalent bond breaking and forming with associated changes in atomic hybridization within a classical potential, producing a powerful method for modelling complex chemistry in large many-atom systems.
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