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http://dx.doi.org/10.25673/119441
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DC Field | Value | Language |
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dc.contributor.author | Ribeiro de Assis, Ismael | - |
dc.contributor.author | Mertig, Ingrid | - |
dc.contributor.author | Göbel, Börge | - |
dc.date.accessioned | 2025-07-16T06:25:22Z | - |
dc.date.available | 2025-07-16T06:25:22Z | - |
dc.date.issued | 2025 | - |
dc.identifier.uri | https://opendata.uni-halle.de//handle/1981185920/121399 | - |
dc.identifier.uri | http://dx.doi.org/10.25673/119441 | - |
dc.description.abstract | Skyrmions are nanosized magnetic whirls attractive for spintronic applications due to their innate stability. They can emulate the characteristic behavior of various spintronic and electronic devices such as spin-torque nano-oscillators, artificial neurons and synapses, logic devices, diodes, and ratchets. Here, we show that skyrmions can emulate the physics of an 𝑅𝐶 circuit—the fundamental electric circuit composed of a resistor and a capacitor—on the nanosecond time scale. The equation of motion of a current-driven skyrmion in a quadratic energy landscape is mathematically equivalent to the differential equation characterizing an 𝑅𝐶 circuit: the applied current resembles the applied input voltage and the skyrmion position resembles the output voltage at the capacitor. These predictions are confirmed via micromagnetic simulations. We show that such a skyrmion system reproduces the characteristic exponential voltage decay upon charging and discharging the capacitor under constant input. Furthermore, it mimics the low-pass filter behavior of 𝑅𝐶 circuits by filtering high frequencies in periodic input signals. Since 𝑅𝐶 circuits are mathematically equivalent to the leaky-integrate-fire (LIF) model widely used to describe biological neurons, our device concept can also be regarded as a perfect artificial LIF neuron. | eng |
dc.language.iso | eng | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject.ddc | 530 | - |
dc.title | RC circuit based on magnetic skyrmions | eng |
dc.type | Article | - |
local.versionType | publishedVersion | - |
local.bibliographicCitation.journaltitle | Physical review | - |
local.bibliographicCitation.volume | 111 | - |
local.bibliographicCitation.issue | 17 | - |
local.bibliographicCitation.publishername | Inst. | - |
local.bibliographicCitation.publisherplace | Woodbury, NY | - |
local.bibliographicCitation.doi | 10.1103/PhysRevB.111.174429 | - |
local.openaccess | true | - |
dc.identifier.ppn | 1927425204 | - |
cbs.publication.displayform | 2025 | - |
local.bibliographicCitation.year | 2025 | - |
cbs.sru.importDate | 2025-07-16T06:24:59Z | - |
local.bibliographicCitation | Enthalten in Physical review - Woodbury, NY : Inst., 2016 | - |
local.accessrights.dnb | free | - |
Appears in Collections: | Open Access Publikationen der MLU |
Files in This Item:
File | Description | Size | Format | |
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PhysRevB.111.174429.pdf | 4.49 MB | Adobe PDF | ![]() View/Open |