What are the Challenges of Using Deep Learning in Nanotechnology?
Despite its potential, there are several challenges in applying deep learning to nanotechnology. One major issue is the availability of quality data. Nanotechnology experiments often produce small datasets, making it difficult to train effective deep learning models. Another challenge is the interpretability of these models. Understanding why a model makes a particular prediction is crucial, especially in scientific research.
