Deep learning for the rare-event rational design of 3D printed multi-material mechanical metamaterials
Multi-material 3D printing techniques are now enabling the rational design of metamaterials with both complex geometries and multiple materials compositions. Here, deep-learning methods are used to identify, among planar network structures, the rare designs that yield very unusual and desirable comb...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-07-01
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| Series: | Communications Materials |
| Online Access: | https://doi.org/10.1038/s43246-022-00270-2 |