Related research data to "A surrogate model for data-driven magnetic stray field calculations"
Date
2022-10-10Description
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).
DFG subject classification
4.32-01 Herstellung und Eigenschaften von Funktionsmaterialien4.32-04 Computergestütztes Werkstoffdesign und Simulation von Werkstoffverhalten von atomistischer bis mikroskopischer Skala
4.51-05 Angewandte Mechanik, Statik und Dynamik
Related third party funded projects
DFG | 405553726 | TRR270 HoMMageRelated Resources
- Is described by: arXiv:https://arxiv.org/abs/2304.03982
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Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0