Machine-learning-assisted prediction of long-term performance degradation on solid oxide fuel cell cathodes induced by chromium poisoning

We implement the machine-learning-assisted (MLA) method to predict the long-term stability of Solid Oxide Fuel Cell (SOFC) cathodes under the influence of Cr poisoning.