Spintronics is a growing research field that focuses on exploring materials and devices that
take advantage of the electron's “spin” to go beyond charge based devices. The most …

Solving computationally hard problems using conventional computing architectures is often
slow and energetically inefficient. Quantum computing may help with these challenges, but it …

Neuromorphic computing based on brain-inspired frameworks has shown its potential to
perform computation with remarkable power and speed efficiency. The spintronic device has …

Artificial intelligence has surged forward with the advent of generative models, which rely
heavily on stochastic computing architectures enhanced by true random number generators …

This work investigates nanosecond superparamagnetic switching in 50-nm-diameter in-
plane magnetized magnetic tunnel junctions (MTJs). Due to the small in-plane uniaxial …

Probabilistic computing using random number generators (RNGs) can leverage the inherent
stochasticity of nanodevices for system-level benefits. Device candidates for this application …

Perpendicular magnetic tunnel junction (pMTJ)-based true-random number generators
(RNGs) can consume orders of magnitude less energy per bit than CMOS pseudo-RNGs …

We demonstrate the miniaturization of perpendicularly magnetized superparamagnetic
tunnel junctions (SMTJs) down to 50 nm in diameter. We experimentally show stochastic …

Stochastic magnetic tunnel junction (s-MTJ) is a promising component of probabilistic bit (p-
bit), which plays a pivotal role in probabilistic computers. For a standard cell structure of the …

Stochastic Magnetic Tunnel Junctions (SMTJs) emerge as a promising candidate for
neuromorphic computing. The inherent stochasticity of SMTJs makes them ideal for …