2017
DOI: 10.1103/physrevb.95.165410
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Magnetoresistance of compensated semimetals in confined geometries

Abstract: Two-component conductors -e.g., semi-metals and narrow band semiconductors -often exhibit unusually strong magnetoresistance in a wide temperature range. Suppression of the Hall voltage near charge neutrality in such systems gives rise to a strong quasiparticle drift in the direction perpendicular to the electric current and magnetic field. This drift is responsible for a strong geometrical increase of resistance even in weak magnetic fields. Combining the Boltzmann kinetic equation with sample electrostatics,… Show more

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Cited by 51 publications
(74 citation statements)
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“…In strong fields, B → ∞, we recover positive linear MR [46][47][48] . This behavior corresponds to the following regime of parameters: ω c τ ee 1 and ω…”
Section: Strong Fieldsmentioning
confidence: 81%
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“…In strong fields, B → ∞, we recover positive linear MR [46][47][48] . This behavior corresponds to the following regime of parameters: ω c τ ee 1 and ω…”
Section: Strong Fieldsmentioning
confidence: 81%
“…In this case, the equations (2) describe the two (electron and hole) fluids that are weakly coupled by electron-hole scattering 47,48 . Unlike the single-component fluid considered in Ref.…”
Section: Compensated Semimetals In Two Dimensional Strip Geometrymentioning
confidence: 99%
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“…According to these experimental results, the magnetoresistance effect in WTe 2 devices may vary with thickness and quality of the tested device. As a compensated semi-metal material, size finite effect [31,32] may also play a vital role in WTe 2 nano-device, introduce linear magnetoresistance.…”
Section: Magnetoresistance In Devices and Gate Tuningmentioning
confidence: 99%
“…Kisslinger et al further pointed out that the linear MR in the PL model is induced by charge carrier density fluctuations rather than mobility fluctuations [55]. Recently, Alekseev et al proposed a new classical mechanism for linear MR in two-dimensional (2D) two-component systems [48,56,57]. In the model, the lateral quasiparticle flow leads to the accumulation of excess quasi-particles near the sample edges.…”
Section: Introductionmentioning
confidence: 99%