High-Velocity Skyrmions : Engineering, Memristors and Random Number Generation
Abstract
Non-collinear spin textures have become very important in both fundamental
research and technology. One of the most interesting examples of these textures is
the skyrmion. A skyrmion is a small, vortex-like spin pattern that has many unique
characteristics. For instance, it is highly stable, meaning it can resist impurities
and disturbances from outside. Skyrmions are also very mobile, have long lifetimes,
and can be moved with very little current. These properties make them attractive
for technological uses, such as in high-density memory devices (especially racetrack
memory), neuromorphic computing, and random number generation. In the past
decade, researchers have focused a lot on two types of skyrmions: Bloch skyrmions and
N´eel skyrmions. These two types differ mainly in how their boundaries behave—Bloch
skyrmions have helicoid walls, while N´eel skyrmions have cycloid walls. Scientists have
found that these skyrmions can be created and controlled by adjusting factors such as
anisotropy, dipolar interactions, and Dzyaloshinskii-Moriya interaction (DMI). In this
thesis, we explore the exciting discovery of high-speed skyrmions that have a reduced
skyrmion Hall effect. This finding is not only important from a fundamental research
perspective but could also lead to an improved version of magnetic racetrack memory,
which may be more practical than traditional designs. We conducted a detailed
study on how changing the anisotropy affects the magnetic structure and the speed of
skyrmions. Through this work, we found that these fast-moving skyrmions, with low
Hall effect, can be applied in many technological areas. In one chapter, we highlight
two promising applications of these skyrmions: first, their use in neuroid sigmoidal
functions, and second, in mimicking the behavior of a synaptic memristor. In another
chapter, we discuss how these fast-moving skyrmions could be effectively used to
create a true random number generator, which has numerous potential applications
in cryptography and data security.
Collections
- Physics (PHY) [487]