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 …

The rapid advancement of new technologies has resulted in a surge of data, while
conventional computers are nearing their computational limits. The prevalent von Neumann …

The ongoing progress of superconducting logic systems with Josephson junctions as base
elements requires the development of compatible cryogenic memory. Long enough …

Superconducting electronics are among the most promising alternatives to conventional
CMOS technology, thanks to the ultra-fast speed and ultra-high energy efficiency of the …

Spiking neural network (SNN) has emerged as the most biologically accurate approach for
information encoding in neuromorphic computing. Cryogenic neuromorphic hardware …

Mott memristor (MM)-based neuristors are promising candidates for artificial neuron
implementations due to their scalability, energy efficiency, and CMOS-compatibility. A …

The relentless pursuit of miniaturization and performance enhancement in electronic
devices has led to a fundamental challenge in the field of circuit design and simulation-how …

Spiking neural network offers the most bio-realistic approach to mimic the parallelism and
compactness of the human brain. A spiking neuron is the central component of an SNN …

Two-dimensional materials with multiple degrees of freedom, including spin, valleys, and
orbitals, open up an exciting avenue for engineering multifunctional devices. Beyond …

Josephson digital or analog ancillary circuits are an essential part of a large number of
modern quantum processors. The natural candidate for the basis of tuning, coupling, and …