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  4. In-Grain Ferroelectric Switching in Sub-5 nm Thin Al0.74Sc0.26N Films at 1 V
 
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2023
Journal Article
Title

In-Grain Ferroelectric Switching in Sub-5 nm Thin Al0.74Sc0.26N Films at 1 V

Abstract
Analog switching in ferroelectric devices promises neuromorphic computing with the highest energy efficiency if limited device scalability can be overcome. To contribute to a solution, one reports on the ferroelectric switching characteristics of sub-5 nm thin Al0.74Sc0.26N films grown on Pt/Ti/SiO2/Si and epitaxial Pt/GaN/sapphire templates by sputter-deposition. In this context, the study focuses on the following major achievements compared to previously available wurtzite-type ferroelectrics: 1) Record low switching voltages down to 1 V are achieved, which is in a range that can be supplied by standard on-chip voltage sources. 2) Compared to the previously investigated deposition of ultrathin Al1-xScxN films on epitaxial templates, a significantly larger coercive field (Ec) to breakdown field ratio is observed for Al0.74Sc0.26N films grown on silicon substrates, the technologically most relevant substrate-type. 3) The formation of true ferroelectric domains in wurtzite-type materials is for the first time demonstrated on the atomic scale by scanning transmission electron microscopy (STEM) investigations of a sub-5 nm thin partially switched film. The direct observation of inversion domain boundaries (IDB) within single nm-sized grains supports the theory of a gradual domain-wall driven switching process in wurtzite-type ferroelectrics. Ultimately, this should enable the analog switching necessary for mimicking neuromorphic concepts also in highly scaled devices.
Author(s)
Schönweger, Georg
Fraunhofer-Institut für Siliziumtechnologie ISIT  
Wolff, Niklas
Islam, Md Redwanul
Gremmel, Maike
Petraru, Adrian
Kienle, Lorenz
Kohlstedt, Hermann H.
Fichtner, Simon  
Fraunhofer-Institut für Siliziumtechnologie ISIT  
Journal
Advanced science  
Open Access
DOI
10.1002/advs.202302296
Additional link
Full text
Language
English
Fraunhofer-Institut für Siliziumtechnologie ISIT  
Keyword(s)
  • domains

  • ferroelectrics

  • neuromorphic computing

  • scandium

  • thin films

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