How is Hyperparameter Tuning Performed in Catalysis?
Hyperparameter tuning in catalysis can be performed using various experimental and computational methods:
Design of Experiments (DoE): A systematic approach to determine the relationship between factors affecting a process and the output of that process. Response Surface Methodology (RSM): Utilized to explore the relationships between several explanatory variables and one or more response variables. Machine Learning Algorithms: Used to predict the optimal conditions by learning from previous experimental data. High-throughput Screening: Rapidly tests multiple conditions to identify the most promising ones.
