<div class="csl-bib-body">
<div class="csl-entry">Hadamek, T., Selberherr, S., Wolfgang Goes, & Sverdlov, V. (2023). Modeling Thermal Effects in STT-MRAM. <i>Solid-State Electronics</i>, <i>200</i>, Article 108522. https://doi.org/10.1016/j.sse.2022.108522</div>
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dc.identifier.issn
0038-1101
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/188884
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dc.description.abstract
We employ the stochastic Landau–Lifschitz–Gilbert (sLLG) equation to explore thermal effects on switching in the spin-transfer torque magnetoresistive random access memory (STT-MRAM). The distribution of the switching times depends on the meshes used for the discretization within the finite element method (FEM) implementation and we introduce an effective temperature scaling in the thermal field calculation to mitigate the switching time distribution dependencies on the element size. Furthermore, we investigate the switching statistics of the STT-MRAM at different temperatures and show that the switching time distribution has a lower mean value, but possesses a longer tail of long switching times for the higher operating temperatures. As a result, the STT-MRAM switching with a fixed voltage pulse duration becomes more error-prone at elevated temperatures.
en
dc.description.sponsorship
Christian Doppler Forschungsgesells
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dc.language.iso
en
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dc.publisher
Elsevier
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dc.relation.ispartof
Solid-State Electronics
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Stochastic Landau–Lifschitz–Gilbert equation
en
dc.subject
Spintronics
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dc.subject
STT-MRAM
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dc.subject
Temperature scaling
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dc.subject
Statistical switching
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dc.title
Modeling Thermal Effects in STT-MRAM
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dc.type
Article
en
dc.type
Artikel
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.contributor.affiliation
Silvaco (United Kingdom), United Kingdom of Great Britain and Northern Ireland (the)