What is the role of Machine Learning in Nanotechnology?
Machine Learning (ML) algorithms can analyze large datasets to identify patterns and make predictions. In nanotechnology, ML is used to optimize material properties, predict molecular behavior, and accelerate the discovery of new nanomaterials. Techniques such as neural networks, support vector machines (SVM), and clustering algorithms are commonly applied.
