What are the Future Directions in Handling High Dimensional Data in Catalysis?
Future directions include: - Integration of Multi-Scale Data: Combining data from different scales (e.g., molecular level to reactor level) to gain a comprehensive understanding of catalytic processes. - Real-Time Data Analysis: Implementing real-time monitoring and analysis to make immediate adjustments to catalytic processes. - Advanced Machine Learning Models: Developing more sophisticated models that can better handle the complexity and variability of high dimensional data.
