What Are the Future Directions of Machine Learning in Catalysis?
Future research is expected to focus on:
Developing Automated Systems for catalyst discovery and optimization, leveraging ML to streamline the entire process. Creating Hybrid Models that combine ML with first-principles calculations and experimental data for more accurate predictions. Exploring Transfer Learning to apply knowledge gained from one catalytic system to another, speeding up the discovery process.
