What are Common Machine Learning Techniques Used in Catalysis?
Several machine learning techniques are commonly used in catalysis research:
Supervised Learning: Involves training a model on a labeled dataset, where the correct output is known. This is useful for predicting catalyst performance. Unsupervised Learning: Deals with unlabeled data and is used to identify patterns or clusters within the data, such as grouping similar catalysts. Reinforcement Learning: Involves training a model to make a sequence of decisions, which can be useful for optimizing reaction conditions.
