How is Machine Learning Integrated into Catalysis Research?
Machine learning (ML) algorithms are increasingly being used to predict catalytic activity and optimize reactions. Statistical software equipped with ML capabilities can:
Predict the performance of new catalysts based on historical data. Optimize reaction parameters using predictive models. Identify patterns in large datasets that are not apparent through traditional methods. Enhance the speed and efficiency of catalyst discovery.
Python, with its ML libraries like TensorFlow and scikit-learn, is widely used in this domain.
