The design of more efficient and selective catalysts remains a significant challenge. The process is often empirical, relying on trial and error rather than a deep understanding of the fundamental principles. Computational methods such as density functional theory (DFT) have shown promise, but they are computationally expensive and sometimes inaccurate. Bridging this gap requires advances in both computational power and theoretical models.
