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Arun K. Nair

Researcher at University of Arkansas

Publications -  49
Citations -  1606

Arun K. Nair is an academic researcher from University of Arkansas. The author has contributed to research in topics: Dislocation & Graphene. The author has an hindex of 18, co-authored 47 publications receiving 1306 citations. Previous affiliations of Arun K. Nair include Cornell University & University of Minnesota.

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Molecular mechanics of mineralized collagen fibrils in bone.

TL;DR: The results suggest that the mineral crystals within this network bears up to four times the stress of the collagen fibrils, whereas the collagen is predominantly responsible for the material’s deformation response.
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Thickness of Hydroxyapatite Nanocrystal Controls Mechanical Properties of the Collagen–Hydroxyapatite Interface

TL;DR: It is found that the presence of hydroxyapatite significantly enhances the tensile modulus and strength compared with a tropocollagen molecule alone, and the collagen-hydroxyapatites interface can be modeled with an elastic network model which provides a good estimate of the surface energy and other mechanical features.
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Geometry and temperature effects of the interfacial thermal conductance in copper- and nickel-graphene nanocomposites.

TL;DR: The results suggest that designs combining metal with single graphene layers provide the best thermal properties, and that both cases show a strong performance dependence on the number of graphene layers between metal phases.
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Bio-Inspired Carbon Nanotube–Polymer Composite Yarns with Hydrogen Bond-Mediated Lateral Interactions

TL;DR: Molecular dynamics simulations confirm that as the PVA content in the composite increases, the stiffness and energy to failure of the composite also increases up to an optimal point, beyond which mechanical performance in tension decreases.
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Size effects in indentation response of thin films at the nanoscale: A molecular dynamics study

TL;DR: In this article, the authors studied the indentation response of Ni thin films of thicknesses in the nanoscale using molecular dynamics simulations with embedded atom method (EAM) interatomic potentials.