Spin-Transfer Torque Magnetic Tunnel Junction Model Based on Fokker-Planck Equation for Stochastic Circuit Simulations

Haoyan Liu, Takashi Ohsawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A spin-transfer torque magnetic tunnel junction (STT-MTJ) model is proposed which is based on Fokker-Planck equation and described by Verilog-A for stochastic circuit simulations by SPICE. A new framework to calculate the magnetization angle makes the model usable widely in STT-MT J applications. The model can be applied to general situations in which the electrical current flowing through an MTJ changes its strength and direction in time. The CPU time for simulation of a large-scale circuit is shown to be much shorter than the model which is based on stochastic Landau-Lifshitz-Gilbert-Slonczewsky (s-LLGS) equation with a Langevin field. The model is applied to a leaky integrate-and-fire (LIF) neuron circuit for spiking neural networks (SNNs).

Original languageEnglish
Title of host publication2022 IEEE 22nd International Conference on Nanotechnology, NANO 2022
PublisherIEEE Computer Society
Pages287-290
Number of pages4
ISBN (Electronic)9781665452250
DOIs
Publication statusPublished - 2022
Event22nd IEEE International Conference on Nanotechnology, NANO 2022 - Palma de Mallorca, Spain
Duration: 2022 Jul 42022 Jul 8

Publication series

NameProceedings of the IEEE Conference on Nanotechnology
Volume2022-July
ISSN (Print)1944-9399
ISSN (Electronic)1944-9380

Conference

Conference22nd IEEE International Conference on Nanotechnology, NANO 2022
Country/TerritorySpain
CityPalma de Mallorca
Period22/7/422/7/8

ASJC Scopus subject areas

  • Bioengineering
  • Electrical and Electronic Engineering
  • Materials Chemistry
  • Condensed Matter Physics

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