They integrated data generation with data-driven models to forecast the lifetime of LFP/graphite cells based on ∆Q(V ) and classified their longevity. In further work, Attia et al. employed a Bayesian algorithm to accelerate the optimization of fast-charging protocols. By using early-cycle data for lowfidelity predictions, the approach enabled the optimization of high-fidelity experimental outcomes, thus significantly reducing the experimental duration from 500 to 16 days.