Spin-torque nano-oscillators (STNOs) have emerged as an intriguing category of spintronic
devices based on spin transfer torque to excite magnetic moment dynamics. The ultra-wide …

Spintronics, the use of spin of an electron instead of its charge, has received huge attention
from research communities for different applications including memory, interconnects, logic …

Neuromorphic computing is a promising strategy to overcome fundamental limitations, such
as enormous power consumption, by massive parallel data processing, similar to the brain …

In this work, we present fabricated magnetic tunnel junctions (MTJs) that can serve as
magnetic memories (MMs) or vortex spin-torque nano-oscillators (STNOs) depending on the …

Dealing with big data, especially the videos and images, is the biggest challenge of existing
Von-Neumann machines while the human brain, benefiting from its massive parallel …

The key enabling factor for Spin Wave (SW) technology utilization for building ultra low
power circuits is the ability to energy efficiently cascade SW basic computation blocks. SW …

With the recent developments in neuroscience and engineering, it is now possible to record
brain signals and decode them. Also, a growing number of stimulation methods have …

Spintronic nano-devices have shown great potential to reduce the energy consumption of
neuromorphic computing systems (NCSs). In the spintronic-based NCSs, the switching or …

With the rapidly evolving internet of things (IoT) era, the ever-rising demand for data transfer
and storage has put a knotty problem on conventional computers, known as the von …

Nano-constriction spin-Hall nano-oscillators (NC-SHNOs) have garnered considerable
interest due to their potential use as efficient and adjustable nano-sized sources of …