What role does Machine Learning play in Nanotechnology research?
Machine Learning (ML) is a subset of AI that focuses on developing algorithms that enable computers to learn from and make decisions based on data. In the context of Nanotechnology, ML algorithms can analyze complex datasets from nanofabrication and nanomanipulation experiments to optimize processes and improve outcomes. For example, ML models can predict the behavior of nanoparticles in various environments, assisting in the design of more effective drug delivery systems and nanoelectronics.
