Szczegóły publikacji
Opis bibliograficzny
Reinforcement learning for spin torque oscillator tasks / J. MOJSIEJUK, S. ZIĘTEK, W. SKOWROŃSKI // Journal of Physics . Conference Series ; ISSN 1742-6588. — 2026 — vol. 3161 iss. 1 art. no. 012025, s. 1–6. — Bibliogr. s. 6, Abstr. — International Conference on Magnetism 2024 : 30.06.2024–05.07.2024 Bologna, Italy
Autorzy (3)
Dane bibliometryczne
| ID BaDAP | 167075 |
|---|---|
| Data dodania do BaDAP | 2026-05-04 |
| Tekst źródłowy | URL |
| DOI | 10.1088/1742-6596/3161/1/012025 |
| Rok publikacji | 2026 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of Physics, Conference Series |
Abstract
We address the problem of automatic synchronisation of the spintronic oscillator (STO) by means of reinforcement learning (RL). A numerical solution of the macrospin Landau-Lifschitz-Gilbert-Slonczewski equation is used to simulate the STO and we train the two types of RL agents to synchronise with a target frequency within a fixed number of steps. We explore modifications to this base task and show an improvement in both convergence and energy efficiency of the synchronisation that can be easily achieved in the simulated environment.
