Several analytical techniques are commonly employed in the data analytics of catalysis:
- Machine Learning: Algorithms such as neural networks and decision trees are used to identify patterns and make predictions. - Statistical Analysis: Techniques like regression analysis and hypothesis testing help in understanding relationships between variables. - Data Mining: Methods to discover hidden patterns and relationships within large datasets. - Computational Chemistry: Simulations and modeling techniques to predict reaction pathways and catalyst performance. - High-Throughput Screening: Automated techniques to quickly test a large number of catalysts and conditions.
