A Non-intrusive Approach for Physics-constrained Learning with Application to Fuel Cell Modeling

Vishal Srivastava, Valentin Sulzer, Peyman Mohtat +2

A data-driven model augmentation framework, referred to as Weakly-coupled Integrated Inference and Machine Learning (IIML), is presented to improve the predictive accuracy of physi…