Generative adversarial networks enable biomimetic topology fusion with balanced mechanical performance and aesthetic quality

Abstract Conventional structural design studies often prioritize mechanical metrics, yet lack a unified narrative that renders the aesthetic expression of form both quantifiable and verifiable. To address this gap, we develop a GAN-based framework for biomimetic topology fusion generation, leveragin...

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Bibliografiske detaljer

Principais autores:	Shaoting Zeng, Yifeng Shi, Zeyi Zhang, Yujuan Yu, Yuxin Liu
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2026-05-01
Serier:	Scientific Reports
Fag:	Generative adversarial networks Topological morphology fusion Biomimetic design Quantitative aesthetic evaluation Structural performance assessment
Online adgang:	https://doi.org/10.1038/s41598-026-51354-9
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