The future of bimetallic catalysts looks promising with ongoing research focused on developing novel synthesis methods and understanding the fundamental mechanisms behind their enhanced performance. Advances in computational modeling and machine learning are expected to play a significant role in predicting the behavior of new bimetallic systems, leading to the design of more efficient and sustainable catalysts.
