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dc.contributor.authorNiekamp, Rainer
dc.contributor.authorNiemann, Johanna
dc.date.accessioned2023-05-05T13:59:08Z
dc.date.available2023-05-05T13:59:08Z
dc.date.issued2022-10-10
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3822
dc.descriptionThis 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).de_DE
dc.language.isoende_DE
dc.relationIsDescribedBy;arXiv;https://arxiv.org/abs/2304.03982
dc.rightsCreative Commons Attribution 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjecttraining datade_DE
dc.subjectUResNetde_DE
dc.subjectneural networkde_DE
dc.subjectmagnetic stray fieldde_DE
dc.subjectsurrogate modelde_DE
dc.subject.classification406-01 Herstellung und Eigenschaften von Funktionsmaterialiende_DE
dc.subject.classification406-04 Computergestütztes Werkstoffdesign und Simulation von Werkstoffverhalten von atomistischer bis mikroskopischer Skalade_DE
dc.subject.classification410-05 Angewandte Mechanik, Statik und Dynamikde_DE
dc.subject.ddc620
dc.subject.ddc624
dc.titleRelated research data to "A surrogate model for data-driven magnetic stray field calculations"de_DE
dc.typeTextde_DE
dc.typeImagede_DE
dc.description.version1.0de_DE
tud.projectDFG | 405553726 | TRR270 HoMMagede_DE
tud.unitTUDa


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Creative Commons Attribution 4.0
Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Creative Commons Attribution 4.0