Doping driven metal-insulator transition in disordered graphene
Kaiyi Guo, Ying Liang, Tianxing Ma

TL;DR
This study investigates how doping and bond disorder influence the metal-insulator transition in graphene using the Hubbard model and quantum Monte Carlo simulations, revealing that doping-induced localization dominates in real materials.
Contribution
It provides new insights into the effects of doping and disorder on the metal-insulator transition in graphene, supported by numerical simulations and comparison with experimental data.
Findings
Disorder critical strength increases as electron density decreases.
Disorder critical strength decreases with increasing on-site interactions.
Doping-induced localization dominates in actual graphene, leading to insulating behavior.
Abstract
Controlling the metal-insulator transition in graphene-based material is a crucial topic as it directly impacts its potential applications. Inspired by recent experiments, we study the effects of doping and bond disorder on metal-insulator transition in graphene within the Hubbard model on a honeycomb lattice. By using the determinant quantum Monte Carlo method, we first conduct tests on the value of <sign> under various parameters, such as electron density, on-site interactions, temperature, and lattice size, so as to select the appropriate parameters to alleviate the impact of the sign problem. Given the knowledge that bond disorder can lead to a mental-insulator transition, our study has revealed, after ruling out the influence of size effects, that the critical strength of disorder increases as the electron density decreases while decreasing as the on-site interactions increase.…
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Taxonomy
TopicsGraphene research and applications · Quantum and electron transport phenomena · Theoretical and Computational Physics
