PhD students Fedor Getman, Maxim Makarenko and Arturo Burguete Lopez submit their first U.S. patent

PhD students Fedor Getman, Maksim Makarenko and Arturo Burguete Lopez have submitted, alongside Andrea Fratalocchi, for a patent in the United States for a new ultraflat meta-optics technology for wavefront egineering.

The patent USPTO application 62/799,324, describes an advanced and yet low cost device that is designed with the aid of an Autonomous Learning Framework for Rule-based Evolutionary Design (ALFRED), a proprietary artificial intelligence parallel material design platform based on evolutionary algorithms and graph neural networks.