Neuromorphic computing (NC) is considered a potential
vehicle for
implementing energy-efficient artificial intelligence. To realize
NC, several technologies are being investigated. Among them, the spin–orbit
torque (SOT)-driven domain wall (DW) devices are one of the potential
candidates. Researchers have proposed different device designs to
achieve neurons and synapses, the building blocks of NC. However,
the experimental realization of DW device-based NC is only at the
primeval stage. Here, we have studied pine-tree DW devices, based
on the Laplace pressure on the elastic DWs, for achieving synaptic
functionalities and diode-like characteristics. We demonstrate an
asymmetric pinning strength for DW motion in two opposite directions
to show the potential of these devices as DW diodes. We have used
micromagnetic simulations to understand the experimental findings
and to estimate the Laplace pressure for various design parameters.
The study provides a strategy to fabricate a multifunctional DW device,
exhibiting synaptic properties and diode characteristics.