Data-Driven Thiele Equation Approach for State-Dependent Coefficients in the Nonlinear Dynamics of Vortex-based Nano-Oscillators
The study developed a data-driven approach to solve magnetic vortex dynamics by extracting position-dependent coefficients from full micromagnetic simulations. This method moves beyond rigid models by showing that gyrotropic and dissipative forces change with the vortex's position, revealing how confinement and motion deform the magnetic texture, leading to accurate predictions of nonlinear stable orbits.