What are the Advantages of Using Deep Learning in Catalysis?
One primary advantage is the ability to handle and analyze large datasets that are often challenging for traditional methods. Deep learning models can identify non-linear relationships and complex patterns that might be missed otherwise. This can lead to the discovery of new catalytic materials and optimization strategies more efficiently. Additionally, deep learning can accelerate the screening process for potential catalysts, reducing the time and cost associated with experimental trials.
