Computational modelling complements experimental spectroscopy by providing theoretical spectra for comparison. Techniques such as Density Functional Theory (DFT) can predict spectral features based on the atomic structure and electronic properties of catalysts. This helps in: - Validating Experimental Findings: Confirming the assignment of spectral features. - Predicting New Catalysts: Screening potential catalysts before experimental synthesis.
