The primary focus of the Artificial Intelligence (AI) in graphene and advanced materials Cluster at GAM Lab lies in the application of machine learning techniques and innovative deep learning architectures, complemented by computational software, to address challenges and limitations within the domains of materials science, nanotechnology, and biotechnology.
This cluster leverages AI-based models to predict material properties, optimize processes, and apply them in various aspects of production, design, experimentation, and scaling, including operations at the molecular and atomic levels.
