Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator

Sonal Shreya; Yasser Rezaeiyan; Alex Jenkins; Tim Böhnert; Hooman Farkhani; Ricardo Ferreira; Farshad Moradi

doi:10.1109/TED.2022.3179994

Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator

Sonal Shreya^*, Yasser Rezaeiyan, Alex Jenkins, Tim Böhnert, Hooman Farkhani, Ricardo Ferreira, Farshad Moradi

^*Corresponding author af dette arbejde

Institut for Elektro- og Computerteknologi - Electronics and Photonics

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

12 Citationer (Scopus)

Abstract

— Topological spin textures are the next-generation spintronic building blocks for storing and processing information because of their controllable formation and annihilation. Memory, logic, and neuromorphic computing applications are reported using such devices having 2-D and 3-D spin textures, namely, vortex, skyrmions, localized bullet, and so on. A robust device-to-circuit-to-system level design is required for developing a neural network (NN) or a neuromorphic computing system (NCS) using these spin devices. Hence, in this work, we present a Verilog-A-based analytical model of a vortex spin-torque nano oscillator (V-STNO) for enabling circuit-level simulation. The model presented here is functional for both linear and nonlinear dynamics of the magnetic vortex core. The nonlinear dynamics show the formation and annihilation of the magnetic vortex depending on its critical currents. Furthermore, the developed model is analyzed for the nanopillar’s diameter and free layer thickness variations. Moreover, an investigation of the temperature effect on the device performance for a range of −40 ^◦C to 140 ^◦C is carried out.

Originalsprog	Engelsk
Tidsskrift	IEEE Transactions on Electron Devices
Vol/bind	69
Nummer	8
Sider (fra-til)	4651-4658
Antal sider	8
ISSN	0018-9383
DOI	https://doi.org/10.1109/TED.2022.3179994
Status	Udgivet - 1 aug. 2022

Adgang til dokumentet

10.1109/TED.2022.3179994

Biblioteksadgang?

Tjek tilgængelighed hos det Kgl. Bibliotek

Citationsformater

@article{993f7e6d77ff443795635cf81edb4c52,

title = "Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator",

abstract = "— Topological spin textures are the next-generation spintronic building blocks for storing and processing information because of their controllable formation and annihilation. Memory, logic, and neuromorphic computing applications are reported using such devices having 2-D and 3-D spin textures, namely, vortex, skyrmions, localized bullet, and so on. A robust device-to-circuit-to-system level design is required for developing a neural network (NN) or a neuromorphic computing system (NCS) using these spin devices. Hence, in this work, we present a Verilog-A-based analytical model of a vortex spin-torque nano oscillator (V-STNO) for enabling circuit-level simulation. The model presented here is functional for both linear and nonlinear dynamics of the magnetic vortex core. The nonlinear dynamics show the formation and annihilation of the magnetic vortex depending on its critical currents. Furthermore, the developed model is analyzed for the nanopillar{\textquoteright}s diameter and free layer thickness variations. Moreover, an investigation of the temperature effect on the device performance for a range of −40 ◦C to 140 ◦C is carried out.",

author = "Sonal Shreya and Yasser Rezaeiyan and Alex Jenkins and Tim B{\"o}hnert and Hooman Farkhani and Ricardo Ferreira and Farshad Moradi",

year = "2022",

month = aug,

day = "1",

doi = "10.1109/TED.2022.3179994",

language = "English",

volume = "69",

pages = "4651--4658",

journal = "IEEE Transactions on Electron Devices",

issn = "0018-9383",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "8",

}

TY - JOUR

T1 - Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator

AU - Shreya, Sonal

AU - Rezaeiyan, Yasser

AU - Jenkins, Alex

AU - Böhnert, Tim

AU - Farkhani, Hooman

AU - Ferreira, Ricardo

AU - Moradi, Farshad

PY - 2022/8/1

Y1 - 2022/8/1

N2 - — Topological spin textures are the next-generation spintronic building blocks for storing and processing information because of their controllable formation and annihilation. Memory, logic, and neuromorphic computing applications are reported using such devices having 2-D and 3-D spin textures, namely, vortex, skyrmions, localized bullet, and so on. A robust device-to-circuit-to-system level design is required for developing a neural network (NN) or a neuromorphic computing system (NCS) using these spin devices. Hence, in this work, we present a Verilog-A-based analytical model of a vortex spin-torque nano oscillator (V-STNO) for enabling circuit-level simulation. The model presented here is functional for both linear and nonlinear dynamics of the magnetic vortex core. The nonlinear dynamics show the formation and annihilation of the magnetic vortex depending on its critical currents. Furthermore, the developed model is analyzed for the nanopillar’s diameter and free layer thickness variations. Moreover, an investigation of the temperature effect on the device performance for a range of −40 ◦C to 140 ◦C is carried out.

AB - — Topological spin textures are the next-generation spintronic building blocks for storing and processing information because of their controllable formation and annihilation. Memory, logic, and neuromorphic computing applications are reported using such devices having 2-D and 3-D spin textures, namely, vortex, skyrmions, localized bullet, and so on. A robust device-to-circuit-to-system level design is required for developing a neural network (NN) or a neuromorphic computing system (NCS) using these spin devices. Hence, in this work, we present a Verilog-A-based analytical model of a vortex spin-torque nano oscillator (V-STNO) for enabling circuit-level simulation. The model presented here is functional for both linear and nonlinear dynamics of the magnetic vortex core. The nonlinear dynamics show the formation and annihilation of the magnetic vortex depending on its critical currents. Furthermore, the developed model is analyzed for the nanopillar’s diameter and free layer thickness variations. Moreover, an investigation of the temperature effect on the device performance for a range of −40 ◦C to 140 ◦C is carried out.

U2 - 10.1109/TED.2022.3179994

DO - 10.1109/TED.2022.3179994

M3 - Journal article

SN - 0018-9383

VL - 69

SP - 4651

EP - 4658

JO - IEEE Transactions on Electron Devices

JF - IEEE Transactions on Electron Devices

IS - 8

ER -

Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator

Abstract

Adgang til dokumentet

Biblioteksadgang?

Fingeraftryk

Citationsformater