Neuromorphic computing uses brain-inspired principles to design circuits that can perform
computational tasks with superior power efficiency to conventional computers. Approaches …

Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware
for information processing, capable of highly sophisticated tasks. Systems built with standard …

Magnetic skyrmions have attracted enormous research interest since their discovery a
decade ago. The non-trivial real-space topology of these nano-whirls leads to fundamentally …

Within a decade, the field of magnetic skyrmionics has developed from a niche prediction to
a huge and active research field. Not only do magnetic skyrmions—magnetic whirls with a …

Magnetic skyrmions are small swirling topological defects in the magnetization texture. Their
stabilization and dynamics depend strongly on their topological properties. In most cases …

Magnetic skyrmions in thin films can be efficiently displaced with high speed by using spin-
transfer torques, and spin–orbit torques,–at low current densities. Although this favourable …

Interfacial Dzyaloshinskii-Moriya Interactions 2. Spin and Magnetism in 2D Materials 3.
Curvilinear magnetism 4. Spin-orbit torques and emergent applications 5. All-optical …

Reservoir computing (RC) has been considered as one of the key computational principles
beyond von-Neumann computing. Magnetic skyrmions, topological particle-like spin textures …

Magnetic skyrmions are topologically stable nanoscale particlelike objects that were
discovered in 2009. Since that time, intense research interest in the field has led to the …

Magnetic skyrmions are topological quasiparticles of great interest for data storage
applications because of their small size, high stability, and ease of manipulation via electric …