Several methods are employed to analyze data in catalysis:
Statistical analysis: Techniques such as regression analysis, ANOVA, and multivariate analysis to identify trends and correlations. Machine learning: Algorithms like decision trees, neural networks, and support vector machines to model complex relationships in large datasets. Spectral analysis: Methods like Fourier transform and deconvolution to interpret spectroscopic data. Kinetic modeling: Using mathematical models to describe reaction mechanisms and predict reaction behavior under different conditions.
