What are the Challenges in Developing Predictive Models?
Some of the key challenges include:
Complexity: Nanomaterials can exhibit complex behavior that is difficult to model accurately. Data Availability: High-quality datasets are essential for developing reliable models, but such data can be scarce. Computational Resources: Simulating nanoscale systems often requires significant computational power. Multiscale Modeling: Bridging different scales—from atomic to macroscopic—within a single model is a complex task.
