What Role Does Data Play in Machine Learning for Catalysis?
Data is the backbone of ML models. High-quality, well-curated datasets are essential for training accurate and reliable models. In catalysis, data can include experimental results, computational simulations, and literature sources. The quality and quantity of data directly affect the performance of ML models. Therefore, data preprocessing, cleaning, and augmentation are crucial steps in the ML pipeline.
