Pareto Optimization of a Cobalt Carbide Catalyst for Syngas Conversion: Balancing Activity and Selectivity via Interpretable Active Learning
Cobalt carbide catalysts have attracted significant attention due to their high activity and light-hydrocarbon selectivity in the direct conversion of syngas, yet navigating their multidimensional parameter space typically relies on a trial-and-error screening process. In this work, an active-learning (AL)-assisted m...