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

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Standard

Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator. / Shreya, Sonal; Rezaeiyan, Yasser; Jenkins, Alex et al.
In: IEEE Transactions on Electron Devices, Vol. 69, No. 8, 08.2022, p. 4651-4658.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Harvard

Shreya, S, Rezaeiyan, Y, Jenkins, A, Böhnert, T, Farkhani, H, Ferreira, R & Moradi, F 2022, 'Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator', IEEE Transactions on Electron Devices, vol. 69, no. 8, pp. 4651-4658. https://doi.org/10.1109/TED.2022.3179994

APA

Shreya, S., Rezaeiyan, Y., Jenkins, A., Böhnert, T., Farkhani, H., Ferreira, R., & Moradi, F. (2022). Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator. IEEE Transactions on Electron Devices, 69(8), 4651-4658. Advance online publication. https://doi.org/10.1109/TED.2022.3179994

CBE

Shreya S, Rezaeiyan Y, Jenkins A, Böhnert T, Farkhani H, Ferreira R, Moradi F. 2022. Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator. IEEE Transactions on Electron Devices. 69(8):4651-4658. https://doi.org/10.1109/TED.2022.3179994

MLA

Shreya, Sonal et al. "Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator". IEEE Transactions on Electron Devices. 2022, 69(8). 4651-4658. https://doi.org/10.1109/TED.2022.3179994

Vancouver

Shreya S, Rezaeiyan Y, Jenkins A, Böhnert T, Farkhani H, Ferreira R et al. Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator. IEEE Transactions on Electron Devices. 2022 Aug;69(8):4651-4658. Epub 2022. doi: 10.1109/TED.2022.3179994

Author

Shreya, Sonal ; Rezaeiyan, Yasser ; Jenkins, Alex et al. / Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator. In: IEEE Transactions on Electron Devices. 2022 ; Vol. 69, No. 8. pp. 4651-4658.

Bibtex

@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,
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",
number = "8",

}

RIS

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

Y1 - 2022/8

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

VL - 69

SP - 4651

EP - 4658

JO - IEEE Transactions on Electron Devices

JF - IEEE Transactions on Electron Devices

SN - 0018-9383

IS - 8

ER -