375 citations · 2.5k across the 61 of their papers we have counts for
4 papers · 1 filter
Potential implementation of Reservoir Computing models based on magnetic skyrmions
George Bourianoff, Daniele Pinna, Matthias Sitte +1
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 loop…
Boundary-Driven Twist States in Systems with Broken Spatial Inversion Symmetry
Kjetil M. D. Hals, Karin Everschor-Sitte
A full description of a magnetic sample includes a correct treatment of the boundary conditions (BCs). This is in particular important in thin film systems, where even bulk propert…
A magnetic skyrmion as a non-linear resistive element - a potential building block for reservoir computing
Diana Prychynenko, Matthias Sitte, Kai Litzius +5
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 informati…
Spin texture motion in antiferromagnetic and ferromagnetic nanowires
Davi R. Rodrigues, Karin Everschor-Sitte, Oleg A. Tretiakov +2
We propose a Hamiltonian dynamics formalism for the current and magnetic field driven dynamics of ferromagnetic and antiferromagnetic domain walls in one dimensional systems. To de…