Hopping-Mediated Charge Transport in Graphene Beyond the Ballistic Regime
J. P. Dadario Pereira, Raphael Tromer, Luiz A. Ribeiro Junior, Douglas S. Galvao
TLDR
A new kinetic Monte Carlo framework models charge transport in graphene, accounting for disorder, temperature, and fields beyond ballistic limits.
Key contributions
- Introduces a trajectory-resolved kinetic Monte Carlo framework for charge transport in 2D carbon systems.
- Integrates disorder, thermal activation, and external fields (bias, temp, mag field, strain, vacancies).
- Shows pristine graphene has ohmic response; vacancies significantly suppress transport efficiency.
- Higher temperatures can partially restore transport, but magnetic fields further reduce it.
Why it matters
This paper offers a unified computational scheme for understanding charge transport in realistic 2D carbon materials, moving beyond ideal ballistic models. It allows for comprehensive analysis of how disorder, temperature, and external fields impact graphene's electrical properties.
Original Abstract
We present a trajectory-resolved framework for charge transport in graphene and related two-dimensional carbon systems beyond the ideal ballistic and fully coherent limits. Transport is described by kinetic Monte Carlo hopping on a predefined atomic lattice, allowing the combined treatment of disorder, thermal activation, and external fields. Current and effective transmittance are extracted directly from stochastic carrier trajectories, without phenomenological transport coefficients. We apply the method to graphene under bias voltage (0-0.10 V), temperature (300-900 K), magnetic field (0-10 T), in-plane strain (2-10%, uniaxial and biaxial), and vacancy concentration (0-10%). Pristine graphene shows an almost ohmic response, with currents of about 7-8 uA, effective transmittance near 0.98-1.00, and conductance of about (5.8-7.8) x 10^-5 S at 0.10 V, depending on direction. Vacancies strongly suppress transport, reducing transmittance to about 0.45-0.75 at 10% vacancy. Higher temperature accelerates hopping and partly restores transport, but cannot overcome severe connectivity loss. Magnetic fields further reduce transport, especially in disordered networks. The framework provides a unified computational scheme for realistic two-dimensional carbon materials and also yields diffusion coefficients and effective mobilities from carrier displacements and transit times.
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