Manipulation of topological spin textures for neuromorphic computing
Simone Bonino
Manipulation of topological spin textures for neuromorphic computing.
Rel. Carlo Ricciardi. Politecnico di Torino, Master of science program in Nanotechnologies For Icts, 2024
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Abstract
In magnetic materials, non-trivial magnetic spin textures may have topological properties, which gave them extra stability as they cannot be annihilated continuously without causing a singularity. These structures, including skyrmions, are particularly promising for applications in neuromorphic computing, where their stability and small size enable efficient information processing and storage. Other magnetic textures, such as meander domain walls, characterized by their wavy, serpentine paths due to local variations in magnetic anisotropy or material imperfections, also play a significant role in this context. The ability to precisely control the dynamics of these structures is crucial for advancing neuromorphic computing technologies. In fact, the manipulation of domain walls can be exploited to mimic the complex, adaptive processes of the human brain.
In this context, the goal of this work is to demonstrate the potential of topological spin textures and domain walls for neuromorphic computing
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