Related research data to "A surrogate model for data-driven magnetic stray field calculations"

This dataset contains the input of the model for neural network with a UResNet architecture for application as surrogate model for the prediction of magnetic stray fields in two-dimensional random micro-heterogeneous materials. It consist of a colletion of 500 files of two-dimensional binary image data, in which a pixel with a value of 0 (1) corresponds to the magnetic solid (vacuum space), of the size of 128x128 pixel. As well included is short description of the applied configuration of the UResNet used in the related publication. The uploads are provided as exports from the shared electronic lab notebook (ELN) instance in .eln format (fully .zip archive compatible).

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3822
Related Identifier https://arxiv.org/abs/2304.03982
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/3822
Provenance
Creator Niekamp, Rainer; Niemann, Johanna
Publisher TU Darmstadt
Contributor Deutsche Forschungsgemeinschaft; TU Darmstadt
Publication Year 2022
Funding Reference Deutsche Forschungsgemeinschaft info:eu-repo/grantAgreement/DFG/405553726/TRR270HoMMage
Rights Creative Commons Attribution 4.0; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://tudatalib.ulb.tu-darmstadt.de/page/contact
Representation
Language English
Resource Type Text
Format application/octet-stream
Version 1.0
Discipline Other