What are the Benefits of Using Machine Learning in Catalysis?
Machine learning offers several benefits in the field of catalysis:
Speed: ML algorithms can quickly analyze large datasets and identify patterns that might take years for human researchers to uncover. Accuracy: ML models can predict the behavior of catalysts with high accuracy, reducing the need for costly and time-consuming experiments. Innovation: By identifying new materials and reaction pathways, ML can lead to the discovery of more efficient and sustainable catalysts.
