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Simulation Analysis of DMTJ-Based STT-MRAM Operating at Cryogenic Temperatures

  • Esteban Garzon
  • , Raffaele De Rose
  • , Felice Crupi
  • , Mario Carpentieri
  • , Adam Teman
  • , Marco Lanuzza
  • University of Calabria
  • Bar-Ilan University
  • Polytechnic University of Bari

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

This article investigates spin-transfer torque magnetic random access memories (STT-MRAMs) based on double-barrier magnetic tunnel junction (DMTJ) with two reference layers when operating at cryogenic temperatures. Our study is based on architecture-level estimations relying on preliminary bitcell-level electrical simulations, which have been carried out by exploiting a macrospin-based Verilog-A compact model of DMTJ, along with a 65 nm cryogenic-aware CMOS technology. Compared to conventional six-transistor static random access memory (6T-SRAM), DMTJ-based STT-MRAM proves to be faster under read access and less energy-hungry under both read/write accesses for medium to large memory sizes. Quantitatively, compared to its 6T-SRAM counterpart, a 2 MB DMTJ-based STT-MRAM operating at 77 K improves read access time by 28% and energy consumption by 52% and 38% for read and write operations, respectively. This is achieved while providing considerably lower leakage power (-98%) and a smaller on-chip area (by about $3\times $ ), at the only cost of worsened write access time.

Original languageEnglish
Article number9406050
JournalIEEE Transactions on Magnetics
Volume57
Issue number7
DOIs
StatePublished - Jul 2021

Bibliographical note

Publisher Copyright:
© 1965-2012 IEEE.

Funding

ACKNOWLEDGMENT This work was supported in part by the Israel Innovation Authority under the Smart Imaging Consortium, in part by the Israel Science Foundation under Grant 996/18, and in part by the Italian Space Agency (ASI) within the call “Nuove idee per la componentistica spaziale del futuro” under Grant 2019-1-U.0 (Diodi spintronici rad-hard ad elevata sensitività—DIOSPIN). The work of Esteban Garzón was supported by a Sandwich Program grant of the Israeli Council for Higher Education.

FundersFunder number
Israel Innovation Authority
Smart Imaging Consortium
Israel Science Foundation996/18
Agenzia Spaziale Italiana2019-1-U.0
Council for Higher Education

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • 77 K
    • compact model
    • cryogenic computing
    • double-barrier magnetic tunnel junction (DMTJ)
    • spin-transfer torque magnetic random access memory (STT-MRAM)

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