Generative model for inverse design of materials, devices, and structures
US11251896B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 3, 2020 |
| Grant date | Feb 15, 2022 |
| Priority date | — |
| Expiry date | Mar 3, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG02B6/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system is provided for training a device design network. The system includes an interface configured to input data of a device, a memory to store the device design network including an encoder, a decoder, and an adversarial block, and a processor. The processor is, in connection with the memory, configured to update the encoder and the decoder based on a first loss function to reduce the difference between the input data and output data of the decoder, wherein the encoder is constructed by at least one convolutional layer followed by at least one parallel fully connected layer to extract features of a layout of the device, and update the adversarial block to construct by maximizing a second loss function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.