Exploration of truss metamaterials with graph based generative modeling

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Shaikeea, Angkur Jyoti Dipanka  ORCID logo  https://orcid.org/0000-0002-6706-0492
Abstract

In the expanding landscape of metamaterial design, Zheng and colleagues introduces a framework that bridges design and properties, using machine learning to enhance truss metamaterials. A neural network creates an interpretable, low-dimensional space, empowering designers to tailor mechanical properties.

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