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Universal mobility characteristics of graphene originating from charge scattering by ionised impurities

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journal contribution
posted on 01.07.2021, 12:49 by Jonathan H. Gosling, Oleg Makarovsky, Feiran Wang, Nathan D. Cottam, Mark GreenawayMark Greenaway, Amalia Patanè, Ricky D. Wildman, Christopher J. Tuck, Lyudmila Turyanska, T. Mark Fromhold
Pristine graphene and graphene-based heterostructures can exhibit exceptionally high electron mobility if their surface contains few electron-scattering impurities. Mobility directly influences electrical conductivity and its dependence on the carrier density. But linking these key transport parameters remains a challenging task for both theorists and experimentalists. Here, we report numerical and analytical models of carrier transport in graphene, which reveal a universal connection between graphene’s carrier mobility and the variation of its electrical conductivity with carrier density. Our model of graphene conductivity is based on a convolution of carrier density and its uncertainty, which is verified by numerical solution of the Boltzmann transport equation including the effects of charged impurity scattering and optical phonons on the carrier mobility. This model reproduces, explains, and unifies experimental mobility and conductivity data from a wide range of samples and provides a way to predict a priori all key transport parameters of graphene devices. Our results open a route for controlling the transport properties of graphene by doping and for engineering the properties of 2D materials and heterostructures.

Funding

Enabling Next Generation Additive Manufacturing

Engineering and Physical Sciences Research Council

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History

School

  • Science

Department

  • Physics

Published in

Communications Physics

Volume

4

Publisher

Springer Nature

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Springer Nature under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

27/11/2020

Publication date

2021-02-18

Copyright date

2021

ISSN

2399-3650

eISSN

2399-3650

Language

en

Depositor

Dr Mark Greenaway. Deposit date: 1 July 2021

Article number

30