Computational methods play a significant role in catalyst optimization:
- Density Functional Theory (DFT): Used to understand the electronic properties and reaction mechanisms. - Molecular Dynamics (MD): To simulate the behavior of catalysts under different conditions. - Machine Learning (ML): To predict catalyst performance and discover new materials.
