Mobility controlled linear magnetoresistance with 3D anisotropy in a layered graphene pallet
Cheng, Hui Ming
Al-Hadeethi, Yas F.
KAUST DepartmentImaging and Characterization Core Lab
Material Science and Engineering Program
Nanofabrication Core Lab
Physical Science and Engineering (PSE) Division
Thin Films & Characterization
Online Publication Date2016-09-27
Print Publication Date2016-10-26
Permanent link to this recordhttp://hdl.handle.net/10754/622430
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AbstractA bulk sample of pressed graphene sheets was prepared under hydraulic pressure (similar to 150 MPa). The cross-section of the sample demonstrates a layered structure, which leads to 3D electrical transport properties with anisotropic mobility. The electrical transport properties of the sample were measured over a wide temperature (2-400 K) and magnetic field (-140 kOe <= H <= 140 kOe) range. The magnetoresistance measured at a fixed temperature can be described by R(H, theta) = R(epsilon H-theta, 0) with epsilon(theta) =(cos(2)theta + gamma(-2) sin(2)theta)(1/2), where gamma is the mobility anisotropy constant and theta is the angle between the normal of the sample plane and the magnetic field. The large linear magnetoresistance (up to 36.9% at 400 K and 140 kOe) observed at high fields is ascribed to a classical magnetoresistance caused by mobility fluctuation (Delta mu). The magnetoresistance value at 140 kOe was related to the average mobility (<mu >) because of the condition Delta mu < <mu >. The carrier concentration remained constant and the temperature-dependent resistivity was proportional to the average mobility, as verified by Kohler's rule. Anisotropic dephasing length was deduced from weak localization observed at low temperatures.
CitationZhang Q, Li P, He X, Li J, Wen Y, et al. (2016) Mobility controlled linear magnetoresistance with 3D anisotropy in a layered graphene pallet. Journal of Physics D: Applied Physics 49: 425005. Available: http://dx.doi.org/10.1088/0022-3727/49/42/425005.
SponsorsThe research reported in this paper was supported by King Abdullah University of Science and Technology (KAUST).