Exploration of truss metamaterials with graph based generative modeling
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 proper...
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Format: | Article |
Language: | English |
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Nature Portfolio
2023-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-023-43217-y |
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author | Angkur Jyoti Dipanka Shaikeea |
author_facet | Angkur Jyoti Dipanka Shaikeea |
author_sort | Angkur Jyoti Dipanka Shaikeea |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-09T15:03:49Z |
format | Article |
id | doaj.art-4528b015fd494dab8ade27df577a7f22 |
institution | Directory Open Access Journal |
issn | 2041-1723 |
language | English |
last_indexed | 2024-03-09T15:03:49Z |
publishDate | 2023-11-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
spelling | doaj.art-4528b015fd494dab8ade27df577a7f222023-11-26T13:45:48ZengNature PortfolioNature Communications2041-17232023-11-011411310.1038/s41467-023-43217-yExploration of truss metamaterials with graph based generative modelingAngkur Jyoti Dipanka Shaikeea0Department of Engineering, University of CambridgeIn 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.https://doi.org/10.1038/s41467-023-43217-y |
spellingShingle | Angkur Jyoti Dipanka Shaikeea Exploration of truss metamaterials with graph based generative modeling Nature Communications |
title | Exploration of truss metamaterials with graph based generative modeling |
title_full | Exploration of truss metamaterials with graph based generative modeling |
title_fullStr | Exploration of truss metamaterials with graph based generative modeling |
title_full_unstemmed | Exploration of truss metamaterials with graph based generative modeling |
title_short | Exploration of truss metamaterials with graph based generative modeling |
title_sort | exploration of truss metamaterials with graph based generative modeling |
url | https://doi.org/10.1038/s41467-023-43217-y |
work_keys_str_mv | AT angkurjyotidipankashaikeea explorationoftrussmetamaterialswithgraphbasedgenerativemodeling |