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  5. Colossal enhancement of electrical and mechanical properties of graphene nanoscrolls

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Article
English
2023

Colossal enhancement of electrical and mechanical properties of graphene nanoscrolls

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0 Files

English
2023
Carbon
Vol 208
DOI: 10.1016/j.carbon.2023.03.025

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Konstantin ‘kostya’  Novoselov
Konstantin ‘kostya’ Novoselov

The University of Manchester

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Mariana C. F. Costa
Pei Rou Ng
Sergey Grebenchuck
+7 more

Abstract

One of the most important characteristics of two-dimensional (2D) electrolytes [1] is their ability to reversibly transform into one-dimensional (1D) structures, such as nanoscrolls. However, when formed, these 1D structures are soft and unstable (because of the weak internal chemical bonds) and poorly electrically conducting (since chemical functionalization introduces a large degree of disorder in the 2D material basal plane). Using PeakForce™ quantitative nano-mechanics (PF-QNM™) mode in atomic force microscopy (AFM) and electrical transport measurements, we demonstrate that a one-step, catalyst-free, graphitization of 1D graphene nanoscrolls leads to an enhanced structural stability (an increase of 6 times in the Young's modulus) and a dramatic reduction of structural disorder (observed by a resulting 5 orders of magnitude reduction of the electrical resistance) These large changes in physical properties open up the doors for the use of 1D graphene nanoscrolls in the study of exotic materials in 1D as well as a plethora of possible industrial applications, such as hydrogen and energy storage, akin to carbon nanotubes but with a much bigger flexibility in terms of morphologies and functionalities.

How to cite this publication

Mariana C. F. Costa, Pei Rou Ng, Sergey Grebenchuck, Jun Tan, Gavin Kok Wai Koon, Hui Tan, Colin R. Woods, Ricardo K. Donato, Konstantin ‘kostya’ Novoselov, A. H. Castro Neto (2023). Colossal enhancement of electrical and mechanical properties of graphene nanoscrolls. Carbon, 208, pp. 140-147, DOI: 10.1016/j.carbon.2023.03.025.

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Publication Details

Type

Article

Year

2023

Authors

10

Datasets

0

Total Files

0

Language

English

Journal

Carbon

DOI

10.1016/j.carbon.2023.03.025

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