A 2TnC ferroelectric memory gain cell suitable for compute-in-memory and neuromorphic application

Research output: Contribution to conferencesPaperContributedpeer-review

Contributors

  • Stefan Slesazeck - , TUD Dresden University of Technology (Author)
  • Taras Ravsher - , TUD Dresden University of Technology (Author)
  • Viktor Havel - , TUD Dresden University of Technology (Author)
  • Evelyn T. Breyer - , TUD Dresden University of Technology (Author)
  • Halid Mulaosmanovic - , TUD Dresden University of Technology (Author)
  • Thomas Mikolajick - , Chair of Nanoelectronics, TUD Dresden University of Technology (Author)

Abstract

A 2TnC ferroelectric memory gain cell consisting of two transistors and two or more ferroelectric capacitors (FeCAP) is proposed. While a pre-charge transistor allows to access the single cell in an array, the read transistor amplifies the small read signals from small-scaled FeCAPs that can be operated either in FeRAM mode by sensing the polarization reversal current, or in ferroelectric tunnel junction (FTJ) mode by sensing the polarization dependent leakage current. The simultaneous read or write operation of multiple FeCAPs is used to realize compute-in-memory (CiM) algorithms that enable processing of data being represented by both, non-volatilely internally stored data and externally applied data. The internal gain of the cell mitigates the need for 3D integration of the FeCAPs, thus making the concept very attractive especially for embedded memories. Here we discuss design constraints of the 2TnC cell and present the proof-of-concept for realizing versatile (CiM) approaches by means of electrical characterization results.

Details

Original languageEnglish
Publication statusPublished - Dec 2019
Peer-reviewedYes

Conference

Title2019 Annual IEEE International Electron Devices Meeting
SubtitleInnovative Devices for an Era of Connected Intelligence
Abbreviated titleIEDM 2019
Conference number65
Duration7 - 11 December 2019
Website
CitySan Francisco
CountryUnited States of America

External IDs

ORCID /0000-0003-3814-0378/work/142256225