Which Techniques are Used for Catalyst Optimization?
Several techniques are employed to optimize catalysts:
High-Throughput Screening (HTS): Rapidly evaluates a large number of catalyst candidates under various conditions. Computational Modelling: Uses theoretical and computational methods to predict the performance of catalysts and guide experimental efforts. Machine Learning: Analyzes large datasets to identify patterns and predict the properties of new catalysts. Experimental Design: Systematically varies experimental conditions to identify the optimal parameters for catalyst performance.
