Despite its advantages, complex modeling in nanotechnology comes with several challenges:
1. Computational Resources: High-fidelity models require substantial computational power and memory. 2. Accuracy: Ensuring the accuracy of the models is difficult, especially when dealing with quantum mechanical systems. 3. Scalability: Extending nanoscale models to larger systems while maintaining accuracy is another significant challenge.
