Data modeling helps in: - Understanding reaction mechanisms: Models can elucidate the steps involved in a catalytic reaction, helping researchers to understand the underlying chemistry. - Optimizing reaction conditions: By predicting how variables like temperature, pressure, and concentration affect the reaction, models can guide experimental efforts to find optimal conditions. - Designing new catalysts: Models can predict how changes in catalyst composition or structure might influence performance, aiding in the development of more effective catalysts.