UTILE-Oxy (UTILE-Oxy)
Keywords: bubbles, time, deep learning, AI, water electrolyzer, oxygen, tracking, segmentation, binary, feature extraction
This project focuses on the deep learning-based automatic analysis of polymer electrolyte membrane water electrolyzers (PEMWE) oxygen evolution videos. This repository contains the Python implementation of the UTILE-Oxy software for automatic video analysis, feature extraction, and plotting.
The models we present in this work are trained on a specific use-case scenario of interest in oxygen bubble evolution videos of transparent cells. It is possible to fine-tune, re-train or employ another model suitable for your individual case if your data has a strong visual deviation from the presented data here.
Publications
Deep learning-enhanced characterization of bubble dynamics in proton exchange membrane water electrolyzers
Colliard-Granero A, Gompou K, Rodenbücher C, Malek K, Eikerling M, Eslamibidgoli M - Physical Chemistry Chemical Physics - 2024
