What Types of Machine Learning Algorithms are Commonly Used?
Various ML algorithms are employed in catalysis research, including supervised learning, unsupervised learning, and reinforcement learning. Supervised learning algorithms, such as linear regression and neural networks, are used to predict catalytic performance based on labeled data. Unsupervised learning algorithms, like clustering, help in identifying hidden patterns within the data. Reinforcement learning is used to optimize reaction conditions in real-time.
