How Does Machine Learning Contribute to Improved Accuracy?
Machine learning algorithms can analyze vast datasets generated from experimental and computational studies to identify patterns and correlations that might not be apparent through traditional methods. By training models on these datasets, machine learning can predict the performance of new catalysts and suggest optimal reaction conditions with high accuracy. This data-driven approach accelerates the discovery and optimization of catalysts.
