Orbitronics is based on the use of orbital currents as information carriers. Orbital currents
can be generated from the conversion of charge or spin currents, and inversely, they could …

Reservoir computing is a neuromorphic architecture that may offer viable solutions to the
growing energy costs of machine learning. In software-based machine learning, computing …

Topological spin textures in magnetic materials and arrangements of electric dipoles in
ferroelectrics are considered to be promising candidates for next-generation information …

The effect of changing magnetic parameters on the size and density of skyrmions in a
hexagonal lattice is investigated using micromagnetic simulations. Achieving control of the …

Physical reservoir computing (RC) is a beyond von-Neumann computing paradigm that
harnesses the dynamical properties of a complex physical system (reservoir) to process …

Topological textures in magnetic and electric materials are considered to be promising
candidates for next-generation information technology and unconventional computing. Here …

Integrating magnetic skyrmion properties into neuromorphic computing promises
advancements in hardware efficiency and computational power. However, a scalable …

Van der Waals ferromagnets are an intersting class of materials for exploring fundamental
physics of magnetic order in the 2D limit as well as for technological applicaitons due to …