Microstructures using generative adversarial networks
AssigneePalo Alto Research Center Incorporated
InventorsNurcan Gecer Ulu, Svytoslav Korneev, Saigopal Nelaturi
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Abstract
A method for designing microstructures includes receiving at least one material property constraint for a design of at least one microstructure, the at least one microstructure configured to be a part of a larger macrostructure. At least one neighborhood connectivity constraint for the design of the at least one microstructure is received. One or more designs of the at least one microstructure is generated using a generative adversarial network (GAN) that is based on the at least one material property constraint and the at least one neighborhood connectivity constraint.
Claims20
A method designing microstructures, comprising:
- receiving at least one material property constraint for a design of at least one microstructure, the at least one microstructure configured to be a part of a larger macrostructure;
- receiving at least one neighborhood connectivity constraint for the design of the at least one microstructure;
- and
- generating one or more designs of the at least one microstructure using a generative adversarial network (GAN) based on the at least one material property constraint and the at least one neighborhood connectivity constraint, wherein the GAN comprises a multi-conditional GAN that controls both the at least one material property and the at least one neighborhood connectivity constraint using context-based synthesis derived from computer vision applications.
A system for designing microstructures, comprising:
- a processor;
- and
- a memory coupled to the processor, the memory storing computer executable instructions, that, when executed by the processor, cause the system to:
- receive at least one material property constraint for a design of at least one microstructure, the at least one microstructure configured to be a part of a larger macrostructure;
- receive at least one neighborhood connectivity constraint for the design of the at least one microstructure;
- and
- generate one or more designs of the at least one microstructure using a generative adversarial network (GAN) based on the at least one material property constraint and the at least one neighborhood connectivity constraint, wherein the GAN comprises a multi-conditional GAN that controls both the at least one material property and the at least one neighborhood connectivity constraint using context-based synthesis derived from computer vision applications.
A non-transitory computer readable medium storing computer program instructions for designing microstructures, the computer program instructions when executed by a processor cause the processor to perform operations comprising:
- receiving at least one material property constraint for a design of at least one microstructure, the at least one microstructure configured to be a part of a larger macrostructure;
- receiving at least one neighborhood connectivity constraint for the design of the at least one microstructure;
- and
- generating one or more designs of the at least one microstructure using a generative adversarial network (GAN) based on the at least one material property constraint and the at least one neighborhood connectivity constraint, wherein the GAN comprises a multi-conditional GAN that controls both the at least one material property and the at least one neighborhood connectivity constraint using context-based synthesis derived from computer vision applications.
Dependencies are inferred from the claim text.