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Effect of grain boundaries on the interfacial behaviour of graphene-polyethylene nanocomposite

TLDR
In this article, the effect of grain boundaries on the interfacial properties of bi-crystalline graphene/polyethylene based nanocomposites was investigated, where molecular dynamics based atomistic simulations were performed in conjunction with the reactive force field parameters to capture atomic interactions within graphene and polyethylene atoms.
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This article is published in Applied Surface Science.The article was published on 2019-03-15 and is currently open access. It has received 69 citations till now. The article focuses on the topics: Graphene & Nanocomposite.

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Surface topographical studies of glass fiber reinforced epoxy-ZnO nanocomposites

TL;DR: In this article, surface morphology and surface microhardness of unidirectional E-glass fiber epoxy composites filled with varying amount of ZnO nanofiller content such as 1, 2, 3, 4 and 5 wt% were investigated.
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Molecular modeling of 2D graphene grain boundaries: Mechanical and fracture aspects

TL;DR: In this paper , the authors provide an updated outline of the molecular and material science aspects prevailing in graphene due to this crystalline defect, and provide an alternative to the costly and time-consuming experimental section.
References
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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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Graphene: Status and Prospects

TL;DR: This review analyzes recent trends in graphene research and applications, and attempts to identify future directions in which the field is likely to develop.
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Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool

TL;DR: The Open Visualization Tool (OVITO) as discussed by the authors is a 3D visualization software designed for post-processing atomistic data obtained from molecular dynamics or Monte Carlo simulations, which is written in object-oriented C++, controllable via Python scripts and easily extendable through a plug-in interface.
Journal ArticleDOI

Graphene and Graphene Oxide: Synthesis, Properties, and Applications

TL;DR: An overview of the synthesis, properties, and applications of graphene and related materials (primarily, graphite oxide and its colloidal suspensions and materials made from them), from a materials science perspective.
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Q1. What contributions have the authors mentioned in the paper "Effect of grain boundaries on the interfacial behaviour of graphene-polyethylene nanocomposite" ?

Aim of this article was to investigate the effect of grain boundaries on the interfacial properties of bi-crystalline graphene/polyethylene based nanocomposites. 

Chemical vapour deposition is the most commonly used technique for synthesising larger size graphene, but it results in polycrystalline structure. 

Due to exceptional mechanical, thermal and electrical properties, graphene is emerging as a potential candidate for the reinforcement of nanocomposites [3-5]. 

Higher mis-orientation angle configurations lead to redistribution of stress uniformly throughout the bi-crystalline graphene sheet that maximizes the load transfer phenomenon and helps in improving the tensile strength. 

It is predicted from the post processing of dump files that higher mis-orientation angle configurations contain more energetic sites (due to high density of dislocations) relative to lower mis-orientation angles for a given weight percentage of graphene in PE; therefore, there would be more wrinkling in higher mis-orientation angles and thus high tensile strength. 

The authors also perceived that wrinkling with substantial out-of-plane deformation in bi-crystalline graphene containing higher mis-orientation angle GB resulted in more number of adhesion points and better non-bonding interaction at the interface; which were the main mechanisms causing an increment in the tensile strength. 

Due to limitations associated with the synthesising techniques, nanomaterials e.g. large size graphene nanosheets are synthesised with geometrical defects such as vacancies, dislocations and grain boundaries (GB) [34, 35]. 

Liu et al. [33] concluded in their work that grafting of graphene with polymer chains helps in improving the shear strength as well as graphene’s dispersion in the polymer matrix. 

Snapshots showing crazing and voids formation in PE when subjected to tensile loadAfter predicting tensile strength of nanocomposites, next set of simulations were performed to investigate the shear strength of the interface between graphene and PE matrix. 

better interfacial properties have been predicted from the interaction energy trend for bi-crystalline graphene nanocomposites as compared to pristine graphene. 

In order to capture the shear strength at the interface, simulations were performed with periodic boundary conditions imposed only in two principal directions, whereas the third principal direction was used to pull the graphene out of polymer matrix as illustrated in Fig.7. 

It was also predicted from the tensile deformation of above designed nanocomposites that after achieving the maximum tensile strength, permanent deformation in the form of voids and crazing starts generating in PE matrix as shown in Fig.6. 

In the graphene reinforced PE system, the pristine and bi-crystalline graphene nanosheets were pulled out of the PE matrix with a velocity of 0.0001 Å/fs along x-direction (non-periodic) and the resulting shear force on the graphene nanosheets in the pullout direction was plotted in Fig.8. 

Due to increased interaction, atoms configuring GB atoms were actually pulled by the PE chains that results in inducing wrinkles (crests and troughs) in the 2D bi-crystalline graphene; in contrast, the pristine graphene structure in PE/GRP nanocomposite relatively remained flattened (minimal out of plane displacement) during tensile deformation as captured in Fig.5. 

It can also be inferred from the stress-strain responses plotted in Fig.3 and Fig.4 that increment in tensile strength of nanocomposites is more prominent in bi-crystalline graphene containing higher mis-orientation angles. 

All the simulations help in concluding that bi-crystalline graphene is a superior reinforcement for developing the future nanocomposites as compared to pristine PE nanocomposites.