Dynamic annihilation pathways of magnetic skyrmions
Matthew Copus, Ezio Iacocca
TL;DR
The paper tackles how numerical modeling choices affect the predicted dynamics and annihilation of 2D magnetic skyrmions as textures approach atomic scales. It introduces a pseudospectral Landau-Lifshitz framework with a dispersion-based nonlocal kernel that embeds exchange and interfacial DMI across scales, enabling seamless atomistic-to-continuum behavior and two exchange kernels for comparison. The study shows that the magnon kernel reproduces the full first Brillouin zone and yields immediate annihilation under a ramped field, while a micromagnetic kernel can overestimate exchange energy and induce breathing prior to annihilation; results depend strongly on discretization, ramp rate, and damping. These findings highlight the need for accurate dispersion treatment in multiscale simulations of skyrmions and other 2D/3D textures, with PS-LL offering a robust pathway for reliable material discovery and modeling.
Abstract
The investigation of magnetic solitons often relies on numerical modeling to determine key features such as stability, annihilation, nucleation, and motion. However, as soliton sizes approach atomic length scales, the accuracy of these predictions become increasingly sensitive to the details of the numerical model. Here, we study the annihilation of two-dimensional magnetic skyrmions using a pseudospectral approach and compare its performance to that of conventional micromagnetic simulations. A central distinction between the models lies in their treatment of the exchange interaction, which governs the magnon dispersion relation and plays a crucial role to balance the uniaxial anisotropy to stabilise skyrmions. We demonstrate that both the choice of model and spatial discretisation significantly influence the skyrmion dynamics and the magnetic field required for annihilation. The pseudospectral model provides a consistent description across length scales and captures complex behaviours such as skyrmion breathing on its path to annihilation. Our results have direct implications in the state-of-the-art modeling of skyrmions and other two-dimensional textures and will impact the modeling of three-dimensional textures such as hopfions. More broadly, our approach will contribute to the development seamless multiscale model and optimization machine learning approaches for material discovery.
