Deep Generative Models in Engineering Design: A Review

<jats:title>Abstract</jats:title><jats:p>Automated design synthesis has the potential to revolutionize the modern engineering design process and improve access to highly optimized and customized products across countless industries. Successfully adapting generative machine learning...

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Bibliographic Details
Main Authors: Regenwetter, Lyle, Nobari, Amin Heyrani, Ahmed, Faez
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:English
Published: ASME International 2023
Online Access:https://hdl.handle.net/1721.1/150666