Computational chemistry plays a vital role in understanding and designing electrocatalysts. By using techniques like density functional theory (DFT), researchers can model catalytic processes at the atomic level, predicting the activity and stability of different materials. This computational approach accelerates the discovery of new catalysts by providing insights that guide experimental efforts.
