Improvement of FTJ on-current by work function engineering for massive parallel neuromorphic computing

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Suzanne Lancaster - , NaMLab - Nanoelectronic materials laboratory gGmbH (Author)
  • Quang T. Duong - , NaMLab - Nanoelectronic materials laboratory gGmbH (Author)
  • Erika Covi - , NaMLab - Nanoelectronic materials laboratory gGmbH (Author)
  • Thomas Mikolajick - , Chair of Nanoelectronics, NaMLab - Nanoelectronic materials laboratory gGmbH (Author)
  • Stefan Slesazeck - , NaMLab - Nanoelectronic materials laboratory gGmbH (Author)

Abstract

HfO2-based ferroelectric tunnel junctions (FTJs) exhibit attractive properties for adoption in neuromorphic applications. The combination of ultra-low-power multi-level switching capability together with the low on-current density suggests the application in circuits for massive parallel computation. In this work, we discuss one example circuit of a differential synaptic cell featuring multiple parallel connected FTJ devices. Moreover, from the circuit requirements we deduce that the absolute difference in currents I-on - I-off is a more critical figure of merit than the tunneling electroresistance ratio (TER). Based on this, we discuss the potential of FTJ device optimization by means of electrode work function engineering in bilayer HZO/Al2O3 FTJs.

Details

Original languageEnglish
Title of host publicationESSCIRC 2022 - IEEE 48th European Solid State Circuits Conference, Proceedings
PublisherIEEE, New York [u. a.]
Pages137-140
Number of pages4
ISBN (electronic)9781665484947
Publication statusPublished - 2022
Peer-reviewedYes

Publication series

SeriesEuropean Conference on Solid-State Circuits (ESSCIRC)

Conference

Title48th IEEE European Solid State Circuits Conference
Abbreviated titleESSCIRC 2022
Duration19 - 22 September 2022
CityMilan
CountryItaly

External IDs

WOS 000886608500031
ORCID /0000-0003-3814-0378/work/142256260

Keywords

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis

Keywords

  • differential synaptic pair, ferroelectric tunneling junction, FTJ, work function engineering, Differential synaptic pair, Ferroelectric tunneling junction, Work function engineering, Ftj