What is the significance of machine learning in catalysis?
Machine learning (ML) is revolutionizing catalysis by enabling the discovery of new catalysts and the optimization of catalytic processes. ML algorithms can analyze vast amounts of data to identify patterns and predict outcomes. Tools like TensorFlow, Scikit-learn, and Keras are widely used to develop predictive models that can accelerate the identification of promising catalysts and optimize reaction conditions.
