Before revision:  Its application to multiscale supercapacitor design demonstrates that the CV rankings facilitated by a domain-aware Graph-Informed Neural Network are better resolved than their counterparts obtained with a physics-based model for a fixed computational budget . Consequently, our information-theoretic GSA provides an "outer loop"
After revision:  We demonstrate that the surrogate-driven mutual information GSA provides useful and distinguishable rankings on two applications of interest in energy storage . Consequently, our information-theoretic GSA provides an "outer loop"