Coordinates-based generative adversarial networks for generating synthetic physical design layout patterns
US10606975B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2018 |
| Grant date | Mar 31, 2020 |
| Priority date | — |
| Expiry date | May 31, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for generating physical design layout patterns includes the step of selecting one or more physical design layouts, a given physical design layout comprising a set of physical design layout patterns for features in at least one layer of a given patterned structure. The method also includes the step of converting the physical design layout patterns into coordinate arrays, a given coordinate array comprising feature center coordinates for the features in a given one of the physical design layout patterns. The method further includes the step of training, utilizing the coordinate arrays, a generative adversarial network (GAN) comprising discriminator and generator neural networks. The method further includes the step of generating one or more synthetic coordinate arrays utilizing the trained generator neural network of the GAN, a given one of the synthetic coordinate arrays comprising feature center coordinates of features for a new physical design layout pattern.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.