Reconstructing Bubble Distribution in Electrolysis Cells using Invertible Neural Networks and Error Diffusion

Invertible Neural Networks can effectively reconstruct high-resolution conductivity maps from limited external magnetic field measurements, enabling the localization and estimation of non-conductive bubble fractions in current-conducting liquids.