Electrically tunable magnetic fluctuations in multilayered vanadium-doped tungsten diselenide
Date
2023-08
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Springer Science and Business Media LLC
Abstract
Fluctuations are ubiquitous in magnetic materials and can cause random telegraph noise. Such noise is of potential use in systems such as spiking neuron devices, random number generators and probability bits. Here we report electrically tunable magnetic fluctuations and random telegraph noise in multilayered vanadium-doped tungsten diselenide (WSe2) using vertical tunnelling heterostructure devices composed of graphene/vanadium-doped WSe2/graphene and magnetoresistance measurements. We identify bistable magnetic states through discrete Gaussian peaks in the random telegraph noise histogram and the 1/f2 features of the noise power spectrum. Three categories of fluctuation are detected: small resistance fluctuations at high temperatures due to intralayer coupling between the magnetic domains; large resistance changes over a wide range of temperatures; and persistent large resistance changes at low temperatures due to magnetic interlayer coupling. We also show that the bistable state and cut-off frequency of the random telegraph noise can be modulated with an electric bias.
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This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1038/s41928-023-01002-1
Keywords
electrically tunable magnetic fluctuations, multilayered vanadium-doped, tungsten diselenide, random telegrah noise
Citation
Nguyen, LA.T., Jiang, J., Nguyen, T.D. et al. Electrically tunable magnetic fluctuations in multilayered vanadium-doped tungsten diselenide. Nat Electron 6, 582–589 (2023). https://doi.org/10.1038/s41928-023-01002-1
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Except where otherwised noted, this item's license is described as copyright Springer Science and Business Media 2023