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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Detalhes bibliográficos

Principais autores:	Shaoting Zeng, Yifeng Shi, Zeyi Zhang, Yujuan Yu, Yuxin Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-05-01
Colecção:	Scientific Reports
Assuntos:	Generative adversarial networks Topological morphology fusion Biomimetic design Quantitative aesthetic evaluation Structural performance assessment
Acesso em linha:	https://doi.org/10.1038/s41598-026-51354-9
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