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...

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Bibliographic Details
Main Authors: Hsu, Yu-Chuan, Yang, Zhenze, Buehler, Markus J
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Language:English
Published: AIP Publishing 2022
Online Access:https://hdl.handle.net/1721.1/145506

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