Accelerating the simulations of spintronic oscillators using an unconventional data-driven approach

Simon de Wergifosse; Chloé Chopin; Flavio Abreu Araujo

doi:10.1117/12.2676352

5 October 2023 Accelerating the simulations of spintronic oscillators using an unconventional data-driven approach

Simon de Wergifosse, Chloé Chopin, Flavio Abreu Araujo

Proceedings Volume PC12656, Spintronics XVI; PC126560N (2023) https://doi.org/10.1117/12.2676352
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Abstract

Spintronic oscillators have gained important interest in recent years. However, a both fast and accurate model describing their dynamics is currently lacking. Here we propose an unconventional semi-analytical model capable of predicting the fundamental properties of the oscillators, when subjected to a spin-polarized current. Using data-driven corrections, the steady-state and transient regimes of oscillations can be simulated quantitatively. This data-driven model is more than two billion times faster than micromagnetic simulations. Such method paves the way for high-throughput simulation campaigns in any prospective applications, such as neuromorphic spintronics.

Conference Presentation

Citation Download Citation

Simon de Wergifosse, Chloé Chopin, and Flavio Abreu Araujo "Accelerating the simulations of spintronic oscillators using an unconventional data-driven approach", Proc. SPIE PC12656, Spintronics XVI, PC126560N (5 October 2023); https://doi.org/10.1117/12.2676352

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