Home > Publications database > Polymer Electrolyte Membrane Water Electrolyzer Oxygen Bubble Evolution Optical |
Project | FZJ-2024-02735 |
2023
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Please use a persistent id in citations: doi:10.5281/ZENODO.10184579
Abstract: Dataset used for the training of the segmentation model employed in the work 'Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer' by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli. This dataset consists in 35 images and the corresponding manual annotated masks of diverse bubbly scenarios extracted from the optical video recording of a PEMWE with a transparent flow field.
Keyword(s): PEMWE ; electrolyzer ; Dataset ; Annotated ; Images ; Segmentation ; Deep Learning ; Machine Learning ; Bubble
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