VP12-04 Constriction Effects on Magnetic Skyrmion Behavior in Magnetic Nanowires
Creators: Warda Al Saidi
and Rachid Sbiaa
Publisher: name: IEEE
Year: 2025

Artificial intelligence (AI) has recently advanced beyond conventional boundaries and found applications in varied scientific domains, including physics. One area of particular interest is the intersection of AI with magnetic skyrmions, which are chiral nanoscale spin structures known for their topological protection [1]. Skyrmions show promises for high-density, low-power spintronic devices [2], and as such, they are a focus of research aimed at revolutionizing memory technologies and computational paradigms. Skyrmions have the potential for applications requiring precise manipulation at the nanoscale because of their small size, stability, and controllability [3]. Recent research has demonstrated the generation, manipulation, and annihilation of skyrmions by different mechanisms, such as spin-orbit torque, magnetic fields, spin transfer torque (STT), and ultrafast heating pulses [4]–[6]. Furthermore, a path toward applying multistate memory devices is provided by studying skyrmion dynamics in multi-stepped nano-tracks [7]. The behavior of skyrmions under various situations is crucial in the search to develop efficient memory systems. The impact of material characteristics, current pulses, and nano-constriction dimensions on skyrmion dynamics has been investigated. The possibilities for large-capacity memory systems that can store several states per cell were achieved. The notable repulsive forces between skyrmions and the edges of nanostructures highlight the complex interplay of forces controlling skyrmion motion. Researchers can accomplish accurate positioning and stable confinement within individual steps of the nanostructure by taking advantage of the repulsive forces between skyrmions. This work not only opens the door for multistate memory devices but also has potential applications in artificial intelligence (AI) and neuromorphic computing, fields where effective information processing and storage are critical. In conclusion, the convergence of memory technology, artificial intelligence, and skyrmion research presents extensively unheard-of chances for creativity.References: [1] O. Boulle et al., Nature Nanotech. 11, 449 (2016). [2] H. Y. Kwon et al., NPG Asia Materials 12, 86 (2020). [3] A. Casiraghi et al., Communications Physics 2, 145 (2019). [4] J. Masell et al., Phys. Rev. B 101, 214428 (2020). [5] S. Woo et al., Nature comm. 8, 15573 (2017). [6] S. G. Je et al., Nano letters 18, 7362-7371 (2018). [7] W. Al Saidi et al., Sci. Rep. 12, 10141 (2022).
Artificial intelligence (AI) has recently advanced beyond conventional boundaries and found applications in varied scientific domains, including physics. One area of particular interest is the intersection of AI with magnetic skyrmions, which are chiral nanoscale spin structures known for their topological protection [1]. Skyrmions show promises for high-density, low-power spintronic devices [2], and as such, they are a focus of research aimed at revolutionizing memory technologies and computational paradigms. Skyrmions have the potential for applications requiring precise manipulation at the nanoscale because of their small size, stability, and controllability [3]. Recent research has demonstrated the generation, manipulation, and annihilation of skyrmions by different mechanisms, such as spin-orbit torque, magnetic fields, spin transfer torque (STT), and ultrafast heating pulses [4]–[6]. Furthermore, a path toward applying multistate memory devices is provided by studying skyrmion dynamics in multi-stepped nano-tracks [7]. The behavior of skyrmions under various situations is crucial in the search to develop efficient memory systems. The impact of material characteristics, current pulses, and nano-constriction dimensions on skyrmion dynamics has been investigated. The possibilities for large-capacity memory systems that can store several states per cell were achieved. The notable repulsive forces between skyrmions and the edges of nanostructures highlight the complex interplay of forces controlling skyrmion motion. Researchers can accomplish accurate positioning and stable confinement within individual steps of the nanostructure by taking advantage of the repulsive forces between skyrmions. This work not only opens the door for multistate memory devices but also has potential applications in artificial intelligence (AI) and neuromorphic computing, fields where effective information processing and storage are critical. In conclusion, the convergence of memory technology, artificial intelligence, and skyrmion research presents extensively unheard-of chances for creativity.References: [1] O. Boulle et al., Nature Nanotech. 11, 449 (2016). [2] H. Y. Kwon et al., NPG Asia Materials 12, 86 (2020). [3] A. Casiraghi et al., Communications Physics 2, 145 (2019). [4] J. Masell et al., Phys. Rev. B 101, 214428 (2020). [5] S. Woo et al., Nature comm. 8, 15573 (2017). [6] S. G. Je et al., Nano letters 18, 7362-7371 (2018). [7] W. Al Saidi et al., Sci. Rep. 12, 10141 (2022).