Can Machine Learning Help Overcome These Limitations?
Machine learning (ML) and artificial intelligence (AI) offer promising avenues to mitigate some of the computational limitations in nanotechnology. By training models on existing data, ML algorithms can predict the properties of new materials much faster than traditional computational methods. However, integrating ML with nanotechnology poses its own set of challenges, such as the need for large, high-quality datasets and the interpretability of ML models.
