Nanomagnet shape effects on magnetic reversal in artificial spin ice

This dataset contains micromagnetic simulation results exploring how the shape of elongated nanomagnets influences magnetic reversal processes in artificial spin ice. By systematically varying the island geometry from rectangular to elliptical shapes, the simulations reveal how deviations from idealized coherent rotation emerge due to curling and pinning of the magnetization at the island edges. Furthermore, increasing inter-island interactions leads to a more complex interplay between internal magnetization dynamics and external coupling effects. These results provide insight into the role of shape anisotropy in artificial spin ice and offer a foundation for designing nanomagnetic systems with tailored reversal properties., The simulation data in this work was produced using the software MuMax3. The Python script used to run the simulations is included in the dataset. Two types of simulations were conducted:
1. Main text– In these simulations, MuMax3 determined the island perimeter. Each hysteresis loop was repeated three times to ensure consistency.
2. Supplementary materials â€“ These simulations included a roughened perimeter to model fabrication imperfections. Each hysteresis loop was repeated seven times, and the results were averaged., # Nanomagnet shape effects on magnetic reversal in artificial spin ice

Dataset DOI: [10.5061/dryad.v9s4mw76r](10.5061/dryad.v9s4mw76r)

## Description of the data and file structure

This dataset contains raw hysteresis loops as well as results for calculating interaction energy obtained from numerical simulations conducted using Mumax3. Python scripts for running the Mumax simulations, including those for both “ideal” and “rough” element perimeters, are also included.
### Files and variables

#### File: Main\_Text.zip

This folder contains raw data in four subfolders, as well as a Python script (bulkrun_ideal_islands.py) that can be used to simulate hysteresis loops for nanoelements placed in a square lattice with an “ideal” perimeter.

* In **bulkrun_ideal_islands.py**, the parameters spacingVals, lengthVals, and seeds are left empty for the user to alter, specifying the nanoelement spacing, length, and the number of times each simulation should use the same parameters.
* Each simul...,