Machine learning and artificial intelligence are increasingly applied in catalysis to analyze large datasets, predict catalytic performance, and optimize reaction conditions. Software like TensorFlow and PyTorch facilitate the development of machine learning models that can identify patterns and correlations that may not be evident through traditional methods.
