The importance of hybrid methods lies in their ability to overcome the limitations of individual techniques. For example, while experimental methods provide real-world data, they can be time-consuming and costly. On the other hand, computational methods like Density Functional Theory (DFT) offer detailed molecular insights but may lack experimental validation. By combining these approaches, researchers can develop models that are both accurate and practical.