Patent · US Active

Methods and apparatuses for designing optical systems using machine learning with delano diagrams

US11226481B2 · kind B2 · utility

0Cited by

0References

17Claims

0Family size

Assignees

Cad Zeiss AG · DE
Carl Zeiss SMT GmbH · DE

Inventors

Toufic Jabbour · Aalen, DE
Christian Wojek · Aalen, DE
Christoph Menke · Oberkochen, DE
Markus Schwab · Aalen, DE

Key dates

Filing date	Sep 26, 2018
Grant date	Jan 18, 2022
Priority date	—
Expiry date	Jul 16, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/092
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.