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5 October 2023 Accelerating the simulations of spintronic oscillators using an unconventional data-driven approach
Simon de Wergifosse, Chloé Chopin, Flavio Abreu Araujo
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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.
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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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KEYWORDS
Simulations
Oscillators
Analytic models
Spintronics
Mathematical modeling
Data modeling
Computer hardware
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