Despite their advantages, multiscale models face several challenges:
- Computational Complexity: High computational resources are required to perform simulations across different scales. - Coupling Methods: Developing effective coupling methods to link different scales without losing accuracy is challenging. - Parameter Transfer: Ensuring that the parameters from one scale are accurately transferred to another is often complex and non-trivial. - Validation and Verification: Multiscale models need rigorous validation and verification against experimental data to ensure reliability.
