Supplementary material: Machine learning based classification of vector field configurations

DOI

The data set contains the supplementary material to support the paper: Machine learning based classification of vector field configurations. The dataset contains simulation files, scripts for data generation and a notebook which shows the steps undertaken to perform the study. The study shows how to cluster magnetisation vector fields into meaningful classes, based on their magnetisation configuration, using an unsupervised machine learning approach.

Identifier
DOI https://doi.org/10.17617/3.KG33A1
Metadata Access https://edmond.mpg.de/api/datasets/export?exporter=dataverse_json&persistentId=doi:10.17617/3.KG33A1
Provenance
Creator Pathak, Swapneel Amit; Holt, Sam; Lang, Martin; Fangohr, Hans
Publisher Edmond
Publication Year 2023
Funding Reference EP/N032128/; EPSRC UK Skyrmion Project Grant
OpenAccess true
Contact swapneel-amit.pathak(at)mpsd.mpg.de
Representation
Language English
Resource Type Dataset
Version 1
Discipline Other