While DFT is a powerful tool, it has its limitations. The accuracy of DFT depends heavily on the choice of the exchange-correlation functional, and there is no universal functional that works perfectly for all systems. Additionally, DFT can be computationally intensive, particularly for large systems. Despite these challenges, ongoing research and advances in computational power continue to improve the precision and applicability of DFT.
