Stochastic vs. deterministic magnetic coding in designed cylindrical nanowires for 3D magnetic networks.

Area of Science:

• Materials Science
• Nanotechnology
• Condensed Matter Physics

Background:

• Cylindrical nanowires offer unique advantages over planar systems for 3D information technologies due to their intrinsic curvature.
• Controlling magnetic vortex configurations is crucial for advanced data storage and processing applications.

Purpose of the Study:

• To propose and experimentally validate a model for controlling stochastic and deterministic coding of 3D complex vortex configurations in multilayered cylindrical nanowires.
• To investigate the role of geometrical interface tilting and magnetic field orientation in achieving this control.

Main Methods:

• Micromagnetic simulations were employed to model the magnetic behavior of designed multilayered (magnetic/non-magnetic) cylindrical nanowires.
• Experimental confirmation was achieved using magnetic imaging techniques on FeCo/Cu multilayered nanowires.

Main Results:

• A model successfully demonstrated control over stochastic and deterministic vortex states in cylindrical nanowires.
• Geometrical interface tilting of FeCo segments and the orientation of a perpendicular magnetic field were identified as key parameters for controlling vortex configurations.
• The FeCo segments showed almost non-interacting behavior, facilitating precise control.

Conclusions:

• The design of segment geometry, specifically interface tilting, in cylindrical nanowires enables precise control over magnetic vortex states.
• This research opens opportunities for developing advanced 3D magnetic networks and nanotechnologies.
• The findings pave the way for novel 3D information storage and processing solutions.