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

The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Magnetic skyrmions are topologically stable spin configurations, which usually originate
from chiral interactions known as Dzyaloshinskii–Moriya interactions. Skyrmion lattices were …

Memristors are continuously tunable resistors that emulate biological synapses,.
Conceptualized in the 1970s, they traditionally operate by voltage-induced displacements of …

Bioinspired hardware holds the promise of low-energy, intelligent, and highly adaptable
computing systems. Applications span from automatic classification for big data …

The discovery of the spin-torque effect has made magnetic nanodevices realistic candidates
for active elements of memory devices and applications. Magnetoresistive effects allow the …

This article reviews static and dynamic interfacial effects in magnetism, focusing on
interfacially driven magnetic effects and phenomena associated with spin-orbit coupling and …

Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …

In our numerical study, we identify the best conditions for efficient domain-wall motion by
spin-orbit torques originating from the spin Hall effect or Rashba effect. We demonstrate that …

Memristors are non-volatile nano-resistors which resistance can be tuned by applied
currents or voltages and set to a large number of levels. Thanks to these properties …