Machine-learning-guided prediction and mechanistic insights into support-acidity-regulated N2 selectivity over cu-based catalysts for acetonitrile oxidation.
Selective conversion of nitrogen-containing species into harmless molecular nitrogen (N2) remains a key challenge in the catalytic oxidation of nitrogen-containing volatile organic compounds (NVOCs). Machine learning (ML) provides an effective approach for predicting catalytic performance and identifying key descriptor...