Beyond-CMOS computational paradigms are necessary to solving the problems that we face
with modern computers in achieving scalability, low energy consumption, reduced latency …

Nanomagnetic and spintronic devices, which make use of physical phenomena in materials
and interfaces like perpendicular magnetic anisotropy (PMA) and spin–orbit torque (SOT) to …

Magnetic skyrmions are chiral spin textures with attractive features, such as ultrasmall size,
solitonic nature, and easy mobility with small electrical currents that make them promising as …

Spintronic devices are considered as promising candidates in implementing neuromorphic
systems or hardware neural networks, which are expected to perform better than other …

Magnetic skyrmions are potential candidates for neuromorphic computing due to their
inherent topologically stable particle-like behavior, low driving current density, and …

Magnetic skyrmions have attracted considerable interest, especially after their recent
experimental demonstration at room temperature in multilayers. The robustness, nanoscale …

The quantum conductance (QC) behaviors in synaptic devices with stable and tunable
conductance states are essential for high-density storage and brain-like neurocomputing …

Magnetic skyrmions, which are particle-like spin structures, are promising information
carriers for neuromorphic computing devices due to their topological stability and nanoscale …

Abstract Domain-wall-synapse-based crossbar arrays have been shown to be very efficient,
in terms of speed and energy consumption, while implementing fully connected neural …

Magnetic skyrmion technology is promising for the next-generation spintronics-based
memory and neuromorphic computing due to their small size, nonvolatility and low …