CMOS-based computing systems that employ the von Neumann architecture are relatively
limited when it comes to parallel data storage and processing. In contrast, the human brain …

The demand for data processing in high-performance computing is growing rapidly.
Extrapolating these trends to the long term suggests that a switch, which is more energy …

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 …

Abstract Domain walls (DWs) in magnetic nanowires are promising candidates for a variety
of applications including Boolean/unconventional logic, memories, in-memory computing as …

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 …

Emerging in‐memory computing (IMC) technology promises to tackle the memory wall
bottleneck in modern systems. Promoted as a promising building block, nonvolatile spin …

Magnetic domain walls (DWs) are the finite boundaries that separate the regions of uniform
magnetization in a magnetic material. They constitute a key research topic in condensed …

The rich dynamics of magnetic materials makes them promising candidates for neural
networks that, like the brain, take advantage of dynamical behaviors to efficiently compute …

Two-dimensional van der Waals (2D vdW) ferromagnets possess outstanding scalability,
controllable ferromagnetism, and out-of-plane anisotropy, enabling the compact spintronics …

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