What are the Benefits of Using Neural Networks in Catalysis?
There are several benefits to using neural networks in catalysis:
Efficiency: They can rapidly analyze large datasets, saving time and resources compared to traditional experimental methods. Predictive Power: Neural networks can predict the performance of new catalysts, reducing the need for extensive testing. Optimization: They can optimize reaction conditions to maximize yield, selectivity, and efficiency.
