IEEE Journal of the Electron Devices Society (Jan 2018)

Built-In Bias Generation in Anti-Ferroelectric Stacks: Methods and Device Applications

  • Milan Pesic,
  • Taide Li,
  • Valerio Di Lecce,
  • Michael Hoffmann,
  • Monica Materano,
  • Claudia Richter,
  • Benjamin Max,
  • Stefan Slesazeck,
  • Uwe Schroeder,
  • Luca Larcher,
  • Thomas Mikolajick

DOI
https://doi.org/10.1109/JEDS.2018.2825360
Journal volume & issue
Vol. 6
pp. 1019 – 1025

Abstract

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The discovery of ferroelectric (FE) properties in binary oxides has enabled CMOS compatible and scalable FE memories. Recently, we reported a simple approach to introduce non-volatility into state-of-the-art dynamic random-access memory stacks that show anti-FE (AFE) behavior. By employing a pair of electrodes with different work functions, a built-in bias is generated. Consequently, this bias modulates the energy potential of the AFE and enables two stable non-volatile states. Using this approach, a significant endurance improvement compared to hafnia-based FE memories can be obtained. In this paper, we investigate the possibility to bypass the usage of asymmetric workfunction electrodes. Using the interface-engineering approach, based on fixed charge or dipole formation, we show two additional methods for built-in bias generation within AFE layer stacks. By characterizing the film properties and performance of AFE capacitors, we compare and investigate retention and endurance of both work function-difference-based and interface-based AFE non-volatile memory. Finally, for the first time we present the concept of a binary oxide-based AFE tunnel junction that leverages both an interface and work function engineered AFE stack.

Keywords