Generative design, manufacturing, and molecular modeling of 3D architected materials based on natural language input
We describe a method to generate 3D architected materials based on mathematically parameterized human readable word input, offering a direct materialization of language. Our method uses a combination of a vector quantized generative adversarial network and contrastive language-image pre-training neu...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
American Institute of Physics Inc.
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |