Magnetoresistance and Magnetic Ordering Fingerprints in Hydrogenated Graphene

David Soriano, Nicolas Leconte, Pablo Ordejón, Jean‐Christophe Charlier, J. J. Palacios, Stephan Roche

Abstract

Spin-dependent features in the conductivity of graphene, chemically modified by a random distribution of hydrogen adatoms, are explored theoretically. The spin effects are taken into account using a mean-field self-consistent Hubbard model derived from first-principles calculations. A Kubo transport methodology is used to compute the spin-dependent transport fingerprints of weakly hydrogenated graphene-based systems with realistic sizes. Conductivity responses are obtained for paramagnetic, antiferromagnetic, or ferromagnetic macroscopic states, constructed from the mean-field solutions obtained for small graphene supercells. Magnetoresistance signals up to ∼7% are calculated for hydrogen densities around 0.25%. These theoretical results could serve as guidance for experimental observation of induced magnetism in graphene.

Locations

• Physical Review Letters - View - PDF
• arXiv (Cornell University) - View - PDF
• DIGITAL.CSIC (Spanish National Research Council (CSIC)) - View - PDF
• PubMed - View
• DataCite API - View