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  4. Integration of ferroelectric devices for advanced in-memory computing concepts
 
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2024
Review
Title

Integration of ferroelectric devices for advanced in-memory computing concepts

Abstract
In this work the integration of ferroelectric (FE) devices for advanced in-memory computing applications is demonstrated based on the FeMFET memory cell concept. In contrast to FeFET having the FE layer directly embedded in the gate-stack, the FeMFET consists of a separated ferroelectric capacitor which can be integrated in the chip-interconnect layers. Optimization of the FE material stack under such lower thermal budget constraints will be discussed as well as the significant performance improvement and reduction of variability by application of superlattice FE-stacks and further optimization knobs. The low memory state variability is important for accurate multiply-accumulate (MAC) operation. Such improvements are demonstrated on a memory array test chip including functional verification of MAC operation along a FeMFET-based array column with good accuracy over high dynamic current range.
Author(s)
Seidel, Konrad  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Lehninger, David
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Sünbül, Ayse
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Hoffmann, Raik  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Revello Olivo, Ricardo Orlando
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Yadav, Nandakishor
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Vardar, Alptekin
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Landwehr, Matthias  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Heinig, Andreas  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Mähne, Hannes
Bernert, Kerstin
Thiem, Steffen
Kämpfe, Thomas  orcid-logo
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Lederer, Maximilian
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Journal
Japanese journal of applied physics  
Project(s)
Embedded storage elements on next MCU generation ready for AI on the edge  
Funding(s)
H2020-EU.2.1.1.  
Funder
European Commission  
Open Access
DOI
10.35848/1347-4065/ad3ce2
Additional link
Full text
Language
English
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Keyword(s)
  • FeFET

  • FeMFET

  • ferroelectric

  • memory

  • neuromorphic

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