Despite its importance, geometry optimization comes with several challenges:
Computational Cost: High accuracy methods like DFT can be computationally expensive, especially for large systems. Convergence Issues: The optimization process may get stuck in local minima rather than finding the global minimum. Complexity of Nanostructures: Nanostructures can have very complex geometries, making optimization difficult.
