Despite its advantages, the use of computational data in nanotechnology poses several challenges. These include:
Computational cost: High-fidelity simulations require significant computational power and resources. Data accuracy: The accuracy of computational models depends on the quality of input data and the assumptions made during modeling. Scalability: Extending nanoscale simulations to larger systems or longer time scales can be challenging. Interdisciplinary collaboration: Effective use of computational data often requires collaboration between experts in different fields, such as physics, chemistry, and materials science.
