What are the Challenges Associated with Data Science in Catalysis?
One of the primary challenges is the complexity of data in catalysis, which often involves multi-dimensional and non-linear relationships. Another significant challenge is the availability of high-quality, annotated datasets for training machine learning models. Additionally, integrating data from different sources and ensuring its consistency can be difficult. Overcoming these challenges requires sophisticated algorithms and robust data management practices.
