4.6 Article

Tunable auxeticity in hydrogenated carbon nanotube origami metamaterial

Journal

MRS BULLETIN
Volume -, Issue -, Pages -

Publisher

SPRINGER HEIDELBERG
DOI: 10.1557/s43577-023-00545-0

Keywords

Hydrogenation; Nanostructure; Nanoscale; Simulation; C

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Inspired by origami architecture and functionalization of carbon-based nanomaterials, a carbon nanotube origami (CNT-O) metamaterial is designed using hydrogenation and molecular dynamics simulation. The mechanical properties of CNT-O, such as stiffness, ultimate strength, failure strain, and Poisson's ratio, can be tuned and programmed by altering topological parameters and adopting surface functionalization. Computational simulation, theoretical analysis, and experimentation demonstrate that a broad range of strain-dependent and scale-independent negative Poisson's ratio can be achieved for nanoarchitected metamaterials through the kinematics of folding/unfolding in origamis. This origami strategy provides a platform for designing highly tunable low-dimensional nanomaterials (e.g., graphene and CNT) with auxeticity.
Inspired by the origami architecture and the progress in the functionalization of carbon-based nanomaterials, we design a carbon nanotube origami (CNT-O) metamaterial with the assistance of hydrogenation and by utilizing molecular dynamics simulation. The mechanical properties, including stiffness, ultimate strength, failure strain, and Poisson's ratio, are systematically studied. Our findings show that the mechanical properties of CNT-O can be tuned and programmed by altering the underlying topological parameters and adopting surface functionalization. We resort to computational simulation, theoretical analysis, and experimentation to demonstrate that an extremely broad range of strain-dependent and scale-independent negative Poisson's ratio can be achieved for nanoarchitected metamaterials, mainly driven by the kinematics of the folding/unfolding in origamis. The proposed origami strategy imparts a platform for designing the next generation of low-dimensional nanomaterials (e.g., graphene and CNT) with highly tunable auxeticity.

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