Topology-Informed Machine Learning for Efficient Prediction of Solid Oxide Fuel Cell Electrode Polarization

This is the dataset for the paper: Topology-Informed Machine Learning for Efficient Prediction of Solid Oxide Fuel Cell Electrode Polarization.

Dataset consists of three files:

• IVs.zip - values of overpotential achieved from numerical model
• microstructures.zip - bitmaps of microstructures used in our research
• representative_model.keras - artificial neural network described in our paper as representative model
• pds.zip - Persistence Diagrams of microstructures used in our research