Automatic Design of Smart Materials
Project Leader: Diego Onna
This line of work focuses on the combination of nanotechnology and artificial intelligence to optimize the design and fabrication process of nanoparticles with specific properties. Through the collection and analysis of experimental and theoretical data, our approach utilizes advanced machine learning algorithms to identify patterns and complex relationships among key variables in synthesis. This method not only enables accurate prediction of the optimal synthesis conditions and the final characteristics of the nanoparticles but also significantly accelerates the development process by reducing the reliance on experimental iterations.
