Several AI techniques are commonly employed in catalysis: - Machine Learning (ML): Algorithms such as decision trees, support vector machines, and random forests are used for classification, regression, and clustering tasks. - Neural Networks (NN): Deep learning models, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), are used for more complex pattern recognition tasks. - Bayesian Optimization: This technique is used for optimizing multi-parameter systems, making it ideal for reaction condition optimization.
