Why is Machine Learning Important in Nanotechnology?
Nanotechnology often deals with complex datasets due to the intricacies of working at the nanoscale. Machine learning can assist in data analysis, modeling, and simulation processes that are crucial for the development of new materials and technologies. By leveraging machine learning, researchers can accelerate the discovery of novel nanomaterials and optimize their properties more efficiently.
