Abstract: Methods and apparatuses for designing optical systems are provided. In this case, on a plurality of known optical systems, machine learning is carried out in order to train a computing device. After this training, the computing device can generate a design for an optical system on the basis of parameters describing desired properties of an optical system.
Type:
Grant
Filed:
September 26, 2018
Date of Patent:
January 18, 2022
Assignees:
Cad Zeiss AG, Carl Zeiss SMT GmbH
Inventors:
Toufic Jabbour, Christian Wojek, Christoph Menke, Markus Schwab