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  4. Low-power vertically stacked one time programmable multibit IGZO-based BEOL compatible ferroelectric TFT memory devices with lifelong retention for monolithic 3D-inference engine applications
 
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2023
Book Article
Title

Low-power vertically stacked one time programmable multibit IGZO-based BEOL compatible ferroelectric TFT memory devices with lifelong retention for monolithic 3D-inference engine applications

Abstract
This article demonstrates indium gallium zinc oxide-based onetime programmable ferroelectric memory devices with multilevel coding and lifelong retention capability. The entire integration process was conducted in the back-endof-line with a maximum process temperature of 350°C. The fabricated devices demonstrate data retention up to 104 seconds, which was used to estimate the retention property up to 108 seconds. We observed a marginal drop in channel current after 108 seconds, which makes them suitable for inference engine application. The compatibility with the back-end-ofline process enables monolithic 3D integration of the devices with standard technology. We have evaluated the performance of this indium gallium zinc oxide-based onetime programmable ferroelectric thin film transistor for inference engine applications. The system-level simulation was performed to gauge the performance of the devices as synapses in multilevel perceptronbased neural networks. The synaptic devices could achieve 97% for inferenceonly applications with MNIST data. The accuracy degradation was also limited to 1.5% over 10 years without retraining. The proposed inference engine also showed superior energy efficiency and cell area of 95.33 TOPS/W (binary) and 16F2, respectively.
Author(s)
De, Sourav
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Thunder, Sunanda
Lehninger, David
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Jank, Michael  
Fraunhofer-Institut für Integrierte Systeme und Bauelementetechnologie IISB  
Lederer, Maximilian
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Raffel, Yannick
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Seidel, Konrad  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Kämpfe, Thomas  orcid-logo
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Mainwork
Embedded Artificial Intelligence. Devices, Embedded Systems, and Industrial Applications  
Language
English
Fraunhofer-Institut für Integrierte Systeme und Bauelementetechnologie IISB  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Keyword(s)
  • FeTFT

  • Hafnium oxide

  • IGZO

  • Neural networks

  • Non-volatile memory

  • Variation

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