How Can Machine Learning Enhance Predictive Analytics in Catalysis?
Machine learning can significantly enhance predictive analytics in catalysis by: 1. Pattern Recognition: Machine learning algorithms can identify intricate patterns in data that are not easily discernible through traditional methods. 2. High-Throughput Screening: Automating the process of screening potential catalysts to rapidly identify the most promising candidates. 3. Adaptive Learning: Models that continually improve as more data becomes available, leading to more accurate predictions over time.
