Several computational methods are employed in the design of catalysts, including:
Density Functional Theory (DFT): A quantum mechanical method used to investigate the electronic structure of molecules and materials. Molecular Dynamics (MD): Simulates the physical movements of atoms and molecules over time. Machine Learning (ML): Algorithms that can predict catalytic properties based on large datasets. Monte Carlo Simulations: Used to understand the statistical behavior of catalytic systems.
