One of the main challenges is the integration of different models and scales. Each scale may require different assumptions and approximations, making it difficult to ensure consistency across scales. Computational cost is another significant challenge, as detailed molecular simulations can be extremely resource-intensive. Developing efficient algorithms and leveraging high-performance computing resources are essential to overcome these hurdles. Furthermore, accurately capturing the interfacial phenomena between different scales can be particularly challenging.