Generative design, manufacturing, and molecular modeling of 3D architected materials based on natural language input
<jats:p> 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 p...
Main Authors: | Hsu, Yu-Chuan, Yang, Zhenze, Buehler, Markus J |
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Other Authors: | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
Format: | Article |
Language: | English |
Published: |
AIP Publishing
2022
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Online Access: | https://hdl.handle.net/1721.1/145506 |
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