Neuromorphic computing using nonvolatile memories is expected to tackle the memory wall
and energy efficiency bottleneck in the von Neumann system and to mitigate the stagnation …

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

Probabilistic bits (p-bits) with thermal-and spin torque-induced nondeterministic
magnetization switching are promising candidates for performing probabilistic computing …

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

The photoassisted electrochemical reactions are considered an effective method to reduce
the overpotential of Li–O2 batteries. However, achieving long-term cell cycling stability …

Racetrack memory (RM) techniques have become promising solutions to resolve the
memory wall issue as they increase memory density, reduce energy consumption and are …

Spintronic devices can realize multi‐state storage and be used to simulate artificial
synapses or artificial neurons, which makes them have promising application prospect in the …

We report a breakthrough in the hardware implementation of energy-efficient all-spin
synapse and neuron devices for highly scalable integrated neuromorphic circuits. Our work …

Spin torque nano-oscillators (STNOs) hold significant promise for communication and bio-
inspired computing applications. However, their modulation capability is constrained by a …

We report the synergy between orbital and spin-orbit torques in WTe 2/Fe 3 GeTe 2
heterostructures characterized by a Berry curvature dipole. By applying a current along the a …