Learning to reconstruct the bubble distribution with conductivity maps using Invertible Neural Networks and Error Diffusion

arXiv:2307.02496v2 Announce Type: replace-cross
Abstract: Electrolysis is crucial for eco-friendly hydrogen production, but gas bubbles generated during the process hinder reactions, reduce cell efficiency, and increase energy consumption. Additionally, these gas bubbles cause changes in the conductivity inside the cell, resulting in corresponding variations in the induced magnetic field around the cell. Therefore, measuring these gas bubble-induced magnetic field fluctuations using external magnetic sensors and solving the inverse problem of Biot-Savart Law allows for estimating the conductivity in the cell …

abstract arxiv bubble consumption cs.cv cs.lg diffusion distribution eess.iv efficiency energy error generated hinder hydrogen inside maps networks neural networks process production reduce type