What Challenges Are Associated with Geometry Optimization?
One of the main challenges in geometry optimization is finding the global minimum on the potential energy surface, as opposed to local minima. The potential energy surface can be quite complex, especially for large or flexible molecules, making it difficult to ensure that the optimization process has found the most stable configuration. Another challenge is the computational cost, as high-level methods like DFT can be resource-intensive, especially for large systems.
