In recent years, magnon and spin texture are attracting great interest in condensed matter
physics and magnetism. Magnonics is aiming to use magnon as information carriers to …

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 …

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

The antiskyrmion, as a topological structure, can be stabilized by anisotropic Dzyaloshinskii-
Moriya interaction. We investigated the dynamic properties of antiskyrmions through …

Topological magnetic textures provide a rich variety of collective excitations. We report
microwave resonant dynamics of hybrid antiskyrmion strings in a microfabricated thin plate …

A traditional physical-reservoir device has limited flexibility and cannot perform well across a
range of computing tasks, owing to the fixed reservoir properties of the physical system …