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Imaging current flow and injection in scalable graphene devices through NV-magnetometry

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arxiv 2502.11076 v1 pith:BYDD3IFR submitted 2025-02-16 cond-mat.mes-hall cond-mat.mtrl-sciphysics.app-phphysics.ins-detquant-ph

Imaging current flow and injection in scalable graphene devices through NV-magnetometry

classification cond-mat.mes-hall cond-mat.mtrl-sciphysics.app-phphysics.ins-detquant-ph
keywords devicesscalablechargecurrentflowgraphenecontactsconventional
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The global electronic properties of solid-state devices are strongly affected by the microscopic spatial paths of charge carriers. Visualising these paths in novel devices produced by scalable processes would provide a quality assessment method that can propel the device performance metrics towards commercial use. Here, we use high-resolution nitrogen-vacancy (NV) magnetometry to visualise the charge flow in gold-contacted, single-layer graphene devices produced by scalable methods. Modulating the majority carrier type via field effect reveals a strong asymmetry between the spatial current distributions in the electron and hole regimes that we attribute to an inhomogeneous microscopic potential landscape, inaccessible to conventional measurement techniques. In addition, we observe large, unexpected, differences in charge flow through nominally identical gold-graphene contacts. Moreover, we find that the current transfer into the graphene occurs several microns before the metal contact edge. Our findings establish high-resolution NV-magnetometry as a key tool for characterizing scalable 2D material based devices, uncovering quality deficits of the material, substrate, and electrical contacts that are invisible to conventional methods.

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Cited by 2 Pith papers

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    Nanoscale current imaging with a scanning NV magnetometer directly visualizes Lorentz deflection of current and maps contact resistance in a graphene-metal hybrid at fields up to 0.53 T.

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    cs.RO 2026-07 accept novelty 3.5

    Four classical and invariant error-state Kalman filters for global aided INS are derived in full, with system matrices, Jacobians and reset rules presented for direct comparison.