Kinematic model of magnetic-domain-wall motion for fast, high-accuracy simulations
[EN]Domain-wall (DW) devices have garnered recent interest for diverse applications including memory, logic, and neuromorphic primitives; fast and accurate device models are therefore imperative for the design and verification of large-scale systems. Existing models of DW motion are suboptimal for t...
| Autores: | , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universidad de Salamanca (USAL) |
| Repositorio: | GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| OAI Identifier: | oai:gredos.usal.es:10366/167888 |
| Acceso en línea: | http://hdl.handle.net/10366/167888 |
| Access Level: | acceso abierto |
| Palabra clave: | Magnetism Computational physics Domain wall dynamics |
| Sumario: | [EN]Domain-wall (DW) devices have garnered recent interest for diverse applications including memory, logic, and neuromorphic primitives; fast and accurate device models are therefore imperative for the design and verification of large-scale systems. Existing models of DW motion are suboptimal for the design of large-scale systems as they either overconsume compute resources with physics-heavy equations or oversimplify the physics, drastically reducing model accuracy. We propose a DW model inspired by the phenomenological similarities between themotions of a DWand a classical object being acted on by forces such as air resistance and static friction. Our proposed phenomenological model predicts DW motion within 1.1% on average and is 4000 times faster than micromagnetic simulations. In addition, our model is seven times faster than existing collective-coordinate models and 14 times more accurate than existing hyper-reduced models, making it an essential tool for large-scale DW circuit design and simulation. The model is publicly available, along with scripts that can automatically extract model parameters from userprovided simulation or experimental data, allowing the user to extend the model to a wider range of micromagnetic parameters. |
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