Record link: 
http://hdl.handle.net/20.500.12708/187443
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Title: 
Advanced Modeling of Emerging Magneto-resistive Memory
en
Citation: 
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 NANOMEET 2022 2nd International Meet & Expo on Nanotechnology (pp. 78–79). http://hdl.handle.net/20.500.12708/187443
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Publication Type: 
Inproceedings - Abstract Book Contribution
en
 
Konferenzbeitrag - Abstract Book Contribution
de
Language: 
English
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Authors: 
Sverdlov, Viktor 
Bendra, Mario 
Fiorentini, Simone 
Ender, Johannes 
Lacerda de Orio, Roberto 
Hadamek, Tomas 
Loch, Wilton Jaciel 
Jorstad, Nils Petter 
Goes, Wolfgang 
Selberherr, Siegfried 
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Organisational Unit: 
E360 - Institut für Mikroelektronik 
E360-01 - Forschungsbereich Mikroelektronik 
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Published in: 
NANOMEET 2022 2nd International Meet & Expo on Nanotechnology 
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Date (published): 
15-Aug-2022
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Event name: 
2nd International Meet & Expo on Nanotechnology (NANOMEET 2022) 
en
Event date: 
15-Aug-2022 - 17-Aug-2022
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Event place: 
Edinburgh, United Kingdom of Great Britain and Northern Ireland (the)
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Number of Pages: 
2
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Keywords: 
Spin Transfer Torques; Magnetoresistive Memory; Modeling; Finite Element Method
en
Project title: 
CD-Labor für Nichtflüchtige magnetisch-resistive Speicher und Logik: P300686 (Christian Doppler Forschungsgesells) 
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Link (external): 
https://www.albedomeetings.com/cms/pdfs/NANOMEET2022_abstract_book.pdf
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Research Areas: 
Modeling and Simulation: 100%
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Science Branch: 
2020 - Elektrotechnik, Elektronik, Informationstechnik: 100%
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Appears in Collections:
Conference Paper

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