How does Machine Learning contribute to Nanotechnology?
Machine Learning (ML) algorithms facilitate the identification of patterns in large datasets generated from nanotechnology experiments and simulations. ML can automate the design of nanomaterials with desired properties by learning from existing data and predicting outcomes of new experiments. This accelerates the innovation process and reduces the need for trial-and-error approaches.
