Multi-scale modeling faces several challenges, including:
Computational Cost: Simulating across multiple scales is computationally intensive, requiring significant resources and time. Data Integration: Integrating data from different scales and ensuring consistency is complex. Model Validation: Validating models across scales requires experimental data, which can be difficult to obtain at the nanoscale. Inter-scale Interactions: Accurately capturing interactions between different scales remains a significant challenge.
