  The dynamics of vortex based spin-torque nano-oscillators is investigated
theoretically. Starting from a fully analytical model based on the Thiele
equation approach, fine-tuned data-driven corrections are carried out to the
gyrotropic and damping terms. These adjustments, based on micromagnetic
simulation results, allow to quantitatively model the response of such
oscillators to any dc current within the range of the vortex stability. Both,
the transient and the steady-state regimes are accurately predicted under the
proposed data-driven Thiele equation approach. Furthermore, the computation
time required to solve the dynamics of such system is reduced by about six
orders of magnitude compared to the most powerful micromagnetic simulations.
This major breakthrough opens the path for unprecedented high-throughput
simulations of spin-torque vortex oscillators submitted to long-duration input
signals, for example in neuromorphic computing applications.
