Magnetic Skyrmions and Their Applications by Giovanni Finocchio
Publisher: Woodhead Publishing
Print ISBN: 9780128208151, 0128208155
eText ISBN: 9780128209332, 012820933X
Copyright year: 2021
Magnetic skyrmions are particle-like objects described by localized solutions of non-linear partial differential equations. Up until a few decades ago, it was believed that magnetic skyrmions only existed in condensed matter as short-term excitations that would quickly collapse into linear singularities. The contrary was proven theoretically in 1989 and evidentially in 2009. It is now known that skyrmions can exist as long-living metastable configurations in low-symmetry condensed matter systems with broken mirror symmetry, increasing the potential applications possible. Magnetic Skyrmions and their Applications delves into the fundamental principles and most recent research and developments surrounding these unique magnetic particles.
Despite achievements in the synthesis of systems stabilizing chiral magnetic skyrmions and the variety of experimental investigations and numerical calculations, there have not been many summaries of the fundamental physical principles governing magnetic skyrmions or integrating those concepts with methods of detection, characterization and potential applications. Magnetic Skyrmions and their Applications delivers a coherent, state-of-the-art discussion on the current knowledge and potential applications of magnetic skyrmions in magnetic materials and device applications.
First the book reviews key concepts such as topology, magnetism and materials for magnetic skyrmions. Then, charactization methods, physical mechanisms, and emerging applications are discussed.
Covers background knowledge and details the basic principles of magnetic skyrmions, including materials, characterization, statics and dynamics
Reviews materials for skyrmion stabilization including bulk materials and interface-dominated multilayer materials
Describes both well-known and unconventional applications of magnetic skyrmions, such as memristors and reservoir computing
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