What are some common AI techniques used in catalysis?
Several AI techniques are commonly employed in catalysis, including:
Machine Learning: Algorithms such as Random Forest, Support Vector Machines, and Neural Networks are used to model complex relationships between variables. Deep Learning: Advanced neural networks like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) for more sophisticated data patterns. Natural Language Processing (NLP): To extract and analyze information from scientific literature and patents. Bayesian Optimization: For optimizing experimental conditions and catalyst formulations.
