What Challenges Are Associated with Modeling in Nanotechnology?
Despite its advantages, modeling in nanotechnology comes with its own set of challenges:
Scale Bridging: Bridging different scales, from atomic to macroscopic, is complex and often computationally intensive. Accuracy: Ensuring the accuracy of models, especially when dealing with quantum effects, requires sophisticated algorithms and significant computational power. Validation: Models need to be validated against experimental results, which can be difficult due to the limitations in current experimental techniques.
