What Role Does Machine Learning Play in Catalysis Optimization?
Machine Learning (ML) is increasingly being used to optimize catalytic processes. ML algorithms can analyze vast datasets to identify patterns and predict outcomes, offering several advantages: 1. Rapid Analysis: Quickly analyze experimental data to identify optimal conditions. 2. Predictive Modeling: Develop models that can predict the performance of new catalysts. 3. Optimization Algorithms: Use advanced optimization algorithms to fine-tune reaction parameters.
