What are the Challenges in Developing Multiscale Models?
One of the primary challenges is the integration of data across different scales, which requires significant computational resources and advanced algorithms. Additionally, ensuring the accuracy and reliability of these models necessitates extensive validation against experimental data. Another challenge is the seamless coupling of different computational methods to ensure consistency and accuracy across scales.
