Innovative catalyst design is another avenue for cost reduction:
Optimizing nanostructures to increase surface area and catalytic efficiency. Implementing support materials like silica, alumina, or carbon to enhance stability and reduce the amount of active material needed. Utilizing computational methods and machine learning to predict and design efficient catalysts, thereby reducing experimental costs.