Skyrmion, a concept originally proposed in particle physics half a century ago, can now find
the most fertile field for its applicability, that is, the magnetic skyrmion realized in …

Digital data, generated by corporate and individual users, is growing day by day due to a
vast range of digital applications. Magnetic hard disk drives (HDDs) currently fulfill the …

Magnetic skyrmions are topologically protected spin textures that have nanoscale
dimensions and can be manipulated by an electric current. These properties make the …

Reservoir computing (RC) has been considered as one of the key computational principles
beyond von-Neumann computing. Magnetic skyrmions, topological particle-like spin textures …

The field of magnetic skyrmions has been actively investigated across a wide range of topics
during the last decades. In this topical review, we mainly review and discuss key results and …

Inspired by the human brain, there is a strong effort to find alternative models of information
processing capable of imitating the high energy efficiency of neuromorphic information …

Reservoir Computing is a type of recursive neural network commonly used for recognizing
and predicting spatio-temporal events relying on a complex hierarchy of nested feedback …

The reservoir computing paradigm posits that complex physical systems can be used to
simplify pattern recognition tasks and nonlinear signal prediction. We show that random …

Magnetic skyrmions are promising information carriers for dense and energy‐efficient
information storage owing to their small size, low driving‐current density, and topological …

Learning and pattern recognition inevitably requires memory of previous events, a feature
that conventional CMOS hardware needs to artificially simulate. Dynamical systems …