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Published on: July 24, 2015
Charge transport in chemically doped 2D graphene
Aurélien Lherbier1, X Blase, Yann-Michel Niquet
1Laboratoire des Technologies de la Microélectronique (LTM), UMR 5129 CNRS, 17 Rue des Martyrs 38054 Grenoble, France.
Chemically doping 2D graphene materials with boron and nitrogen preserves remarkable electronic transport properties, even at high impurity concentrations. This chemical doping results in asymmetric electron-hole mobilities and conductivities near the Dirac point.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Computational Chemistry
Background:
- Two-dimensional (2D) graphene materials exhibit unique electronic properties.
- Chemical doping is a key method for tuning graphene's conductivity.
- Understanding the impact of dopants on charge transport is crucial for device applications.
Purpose of the Study:
- To numerically investigate the electronic transport in chemically doped 2D graphene.
- To analyze the effects of boron and nitrogen substitutions on charge mobilities and conductivities.
- To evaluate the influence of impurity concentration on quantum interference effects.
Main Methods:
- Ab initio calculations to derive a self-consistent scattering potential for dopants.
- Quantum-mechanical Kubo-Greenwood approach for evaluating transport properties.
- Simulation of systems with impurity concentrations from 0.5% to 4.0%.
Main Results:
- Chemically doped graphene retains remarkable transport properties even at 4.0% doping concentration.
- Quantum interference effects have a marginal impact on conduction at these doping levels.
- Electron-hole mobilities and conductivities exhibit asymmetry around the Dirac point due to doping.
Conclusions:
- Chemical doping of 2D graphene with boron and nitrogen is a viable strategy to tune electronic properties.
- Graphene's robust transport characteristics are maintained across a significant range of doping concentrations.
- The observed asymmetry in transport properties offers potential for novel electronic device functionalities.
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