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  4. Integration of BEoL Compatible 1T1C FeFET Memory Into an Established CMOS Technology
 
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2022
Conference Paper
Title

Integration of BEoL Compatible 1T1C FeFET Memory Into an Established CMOS Technology

Abstract
Recently, hafnium oxide based ferroelectric memories gained great attention due to good scalability, high speed operation, and low power consumption. In contrast to the FRAM concept, the FeFET offers non-destructive read-out. However, the integration of the FeFET into an established CMOS technology entails several challenges. Herein, an 1T1C FeFET with separated transistor (1T) and ferroelectric capacitor (1C) is described and demonstrated. This alternative approach can be integrated into standard process technologies without introducing significant modifications of the front-end-of-line. All important steps starting from the integration of MFM devices into the BEoL through the fabrication and characterization of single 1T1C memory cells with various capacitor area ratios for bit cell tuning up to the initial demonstration of an 8 kbit test-array are covered.
Author(s)
Lehninger, David
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Mähne, H.
X-FAB Dresden GmbH & Co. KG
Ali, Tarek Nadi Ismail  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Hoffmann, Raik  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Revello Olivo, Ricardo Orlando
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Lederer, Maximilian
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Bernert, K.
X-FAB Dresden GmbH & Co. KG
Kämpfe, Thomas  orcid-logo
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Biedermann, Kati  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Landwehr, Matthias  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Heinig, Andreas  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Thiem, S.
X-FAB Dresden GmbH & Co. KG
Mertens, Konstantin
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Wang, Defu
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Shen, Yukai
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Seidel, Konrad  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Mainwork
IEEE International Memory Workshop, IMW 2022. Proceedings  
Project(s)
Technology and hardware for neuromorphic computing  
Embedded storage elements on next MCU generation ready for AI on the edge  
Funding(s)
H2020  
Funder
European Commission  
Conference
International Memory Workshop 2022  
Open Access
DOI
10.1109/IMW52921.2022.9779252
10.24406/h-427200
File(s)
Nr-04_Anhang.pdf (2.2 MB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Keyword(s)
  • BEoL integration

  • FeFET

  • ferroelectric

  • hafnium oxide

  • memory

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