Volume 142, Number 2, April 2023
|Number of page(s)
|Condensed matter and materials physics
|18 April 2023
Disorder-controlled linear magnetoresistance in monolayer graphene
1 Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology Department of Physics, Tianjin University - Tianjin, 300072, China
2 College of Science, China Agricultural University - Beijing, 100083, China
3 State Key Laboratory of Infrared Physics, Chinese Academy of Sciences, Shanghai Institute of Technical Physics Shanghai, 200083, China
Received: 13 February 2023
Accepted: 30 March 2023
The nonsaturating linear magnetoresistance (MR) in graphene has been found for more than ten years, but its origin still lacks a quantitative study. Here, we report magneto-transport properties of monolayer graphene samples grown on silicon carbide. A positive parabolic MR is observed at low magnetic fields, and it is transformed into a large linear MR with increasing field. The observed linear MR is gradually suppressed either by increasing temperature or by increasing annealing time. The slope of the linear MR is proportional to the Hall mobility, and the crossover field, representing a transition from quadratic to linear field dependence, is proportional to the inverse of the Hall mobility. We therefore attribute the linear MR to a classical origin. This classical MR is considered to be controlled by the interaction between carrier and the low-mobility island, and the fraction of the low-mobility island is extracted. The extracted fraction is consistent with the calculated results when the absorbed acceptor is regarded as the main source of the disorder. Our data also can be explained by the effective-medium theory.
© 2023 EPLA
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.