1. Complexity: Nanotechnology models often involve complex physical, chemical, and biological processes. 2. Data Availability: High-quality experimental data may be scarce or difficult to obtain. 3. Computational Limitations: High computational costs can limit the feasibility of extensive model validation. 4. Scaling Issues: Models may need to bridge multiple scales, from atomic to macroscopic levels.
