<div class="csl-bib-body">
<div class="csl-entry">Sverdlov, V., Bendra, M., Fiorentini, S., Ender, J., Lacerda de Orio, R., Hadamek, T., Loch, W. J., Jorstad, N. P., Goes, W., & Selberherr, S. (2022). Advanced Modeling of Emerging Magneto-resistive Memory. In <i>NANOMEET 2022 2nd International Meet & Expo on Nanotechnology</i> (pp. 78–79). http://hdl.handle.net/20.500.12708/187443</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/187443
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dc.description.sponsorship
Christian Doppler Forschungsgesells
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dc.language.iso
en
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dc.subject
Spin Transfer Torques
en
dc.subject
Magnetoresistive Memory
en
dc.subject
Modeling
en
dc.subject
Finite Element Method
en
dc.title
Advanced Modeling of Emerging Magneto-resistive Memory
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Cambridge, United Kingdom
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dc.description.startpage
78
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dc.description.endpage
79
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dc.relation.grantno
P300686
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dc.type.category
Abstract Book Contribution
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tuw.booktitle
NANOMEET 2022 2nd International Meet & Expo on Nanotechnology
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tuw.publication.invited
invited
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tuw.project.title
CD-Labor für Nichtflüchtige magnetisch-resistive Speicher und Logik
