Modelling Ferroelectric Hysteresis of HZO Capacitor with Jiles-Atherton Model for Non-Volatile Memory Applications

Ella Paasio, Mika Prunnila, Sayani Majumdar

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

We report a ferroelectric model based on the Jiles-Atherton equations which can successfully reproduce the experimental polarization-voltage hysteresis of thin-film hafnium zirconium oxide (HZO) capacitor devices. Such model is expected to be computationally efficient in circuit design with SPICE and Verilog-A. Our results represent an important advancement towards modelling of ferroelectric HZO capacitors for large-scale memory and neuromorphic circuit integration.
Original languageEnglish
Title of host publication12th IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2023
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages62-63
ISBN (Electronic)979-8-3503-4496-7
ISBN (Print)979-8-3503-4497-4
DOIs
Publication statusPublished - 2023
MoE publication typeA4 Article in a conference publication
Event12th IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2023 - Niigata, Japan
Duration: 30 Aug 20231 Sept 2023

Publication series

SeriesIEEE Non-Volatile Memory Systems and Applications Symposium (NVMSA)

Conference

Conference12th IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2023
Country/TerritoryJapan
CityNiigata
Period30/08/231/09/23

Funding

Authors acknowledge Academy of Finland (Grant no. 345068 and 350667) for financial support. The work used experimental facilities of Micronova National Research Infrastructure for Micro-and Nanotechnology.

Keywords

  • Ferro electricity
  • In-memory computing
  • Jiles-Atherton model
  • Memory
  • Neuromorphic computing

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