Proposed domain-wall model predicts motion efficiently, highlighting improvements in simulation accuracy.
Domain-wall (DW) devices have garnered interest for diverse applications including memory, logic, and neuromorphic primitives; thus fast, accurate device models are imperative. Existing models of DW motion are suboptimal for large systems: They either devour computational resources, or oversimplify the physics. The authors propose a DW model inspired by the phenomenological similarities between the motion of a DW and that of a classical object subject to forces like friction or drag. This model predicts essentially the same DW motion as do micromagnetic simulations, but 4000×{} as fast. It is also faster than collective-coordinate models, and much more accurate than hyper-reduced models.
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Edwards et al. (2025) studied this question.
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