Feellgood - An open-source FEM micromagnetic software.

npj Computational Materials - NeuralMag: an open-source nodal finite-difference code for inverse micromagnetics

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This study presents a 3D version of multiscale approach for investigating magnetization dynamics in multiscale, hybrid micromagnetic-atomistic simulations. The present work introduces engineered disco...

Micromagnetic simulations and magnetic force microscopy reveal how the lateral shape of a confined chiral magnet controls the orientation of its helical spin order. The propagation vector of the spin ...

Researchers from The Grainger College of Engineering at the University of Illinois Urbana-Champaign have developed the first magnetic multipole-based micromagnetic model for antiferromagnets.

We use micromagnetic simulations to demonstrate neuron functionality of two-dimensional (2D) chiral magnonic resonators. Our design exploits nonlinear resonant

We use micromagnetic simulations to demonstrate how machine learning can be applied to arrays of chiral magnonic resonators to build a magnonic full adder. The chiral magnonic resonators have form of ...

Researchers have developed a rapid and versatile imaging technique using diamond sensors to visualise the direction and strength of magnetic fields generated by miniature electronic components, offering a significant advance for the development of next-generation data storage and computing technologies.

Stabilizing magnetic skyrmions is a critical issue in spintronics, impacting data storage and computing. This study investigates skyrmion and skyrmionium phenomena within a hexagonal array of curved nanomagnets. Utilizing atomistic calculations, micromagnetic simulations, and experimental methods such as magnetic force microscopy and electron holography, we analyze the interplay between magnetic parameters, curvature, and the interfacial Dzyaloshinskii–Moriya interaction (iDMI) in the formation of these structures. We observed that isolated skyrmions and mixed skyrmionic phases can spontaneously form in a symmetric Pt/Co/Pt multilayer curved nanomagnet matrix without external fields at room temperature. Our findings highlight the considerable influence of geometric curvature on iDMI, providing insights for engineering skyrmionic configurations. This research enhances our understanding of nanomagnetism and contributes to the advancement of skyrmion-based technologies.

**Abstract:** This paper presents a novel approach to predict the complex dynamics of domain wall motion in magnetoelastic multilayers. Utilizing a hybrid methodology combining Bayesian Optimization (BO) for parameter tuning with Reservoir Computing (RC) for time-series prediction, we overcome limitations of traditional micromagnetic simulations by providing tractable computational models for near real-time prediction and control. This framework allows for accelerated materials design and optimization of devices relying on domain wall motion, promising significant advancements in spintronic memory and logic applications.