Digital data, generated by corporate and individual users, is growing day by day due to a
vast range of digital applications. Magnetic hard disk drives (HDDs) currently fulfill the …

Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …

Improvements in computing performance have significantly slowed down over the past few
years owing to the intrinsic limitations of computing hardware. However, the demand for data …

Neuromorphic computing (NC) is gaining wide acceptance as a potential technology to
achieve low-power intelligent devices. To realize NC, researchers investigate various types …

In neuromorphic computing, artificial synapses provide a multi‐weight (MW) conductance
state that is set based on inputs from neurons, analogous to the brain. Herein, artificial …

Neuromorphic computing emulates a biological brain at different levels of the computer
hierarchy by exploiting brain‐inspired principles in designing novel devices, algorithms, and …

The spatiotemporal nature of neuronal behavior in spiking neural networks (SNNs) makes
SNNs promising for edge applications that require high energy efficiency. To realize SNNs …

Owing to programmable nonlinear dynamics, magnetic domain wall (DW)‐based devices
can be configured to function as spintronic neurons, promising to execute sophisticated …

Spintronic devices based on domain wall (DW) motion through ferromagnetic nanowire
tracks have received great interest as components of neuromorphic information processing …

Topological solitons are exciting candidates for the physical implementation of next-
generation computing systems. As these solitons are nanoscale and can be controlled with …