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A FeFET with a novel MFMFIS gate stack: towards energy-efficient and ultrafast NVMs for neuromorphic computing
Publication:
A FeFET with a novel MFMFIS gate stack: towards energy-efficient and ultrafast NVMs for neuromorphic computing
Date
2021
Journal article
https://doi.org/10.1088/1361-6528/ac146c
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APA
Chicago
Harvard
IEEE
Basic data
APA
Chicago
Harvard
IEEE
Author(s)
Ali, Tarek
;
Mertens, Konstantin
;
Kuehnel, Kati
;
Rudolph, Matthias
;
Oehler, Sebastian
;
Lehninger, David
;
Mueller, Franz
;
Revello, Ricardo
;
Hoffmann, Raik
;
Zimmermann, Katrin
;
Kaempfe, Thomas
;
Czernohorsky, Malte
;
Seidel, Konrad
;
Van Houdt, Jan
;
Eng, Lukas M.
Journal
NANOTECHNOLOGY
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1808
since deposited on 2021-11-02
Acq. date: 2025-10-28
Citations
Metrics
Views
1808
since deposited on 2021-11-02
Acq. date: 2025-10-28
Citations