How is Machine Learning Enhancing QSAR in Catalysis?
With advances in machine learning and artificial intelligence, QSAR modeling in catalysis has seen significant improvements. Machine learning algorithms can handle large datasets and complex relationships better than traditional statistical methods. Techniques like neural networks, support vector machines, and random forests are increasingly being used to build more accurate and reliable QSAR models. These advanced methods can identify patterns and interactions that might be missed by simpler approaches.
