1. Experimental Data: Empirical data from experiments can be used to identify trends and establish linear relationships between different adsorption energies. 2. Density Functional Theory (DFT): This computational method is often employed to calculate adsorption energies and transition states, providing the necessary data to formulate scaling relations. 3. Machine Learning: Advanced algorithms can analyze large datasets to uncover scaling relations that may not be evident through traditional methods.
