Published August 10, 2023
| Version Metamaterials
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ShengzhiLuan/2D-Cellular-Metamaterials: 2D Cellular Metamaterials
Description
This repository provides data and associated codes for a data-driven framework that enables prediction of macroscopic properties of 2D cellular metamaterials, and identifies their connection to key morphological characteristics, as identified by the integration of machine-learning models (Random Forest and GAM) and interpretability algorithms (SHAP analysis).
Files
ShengzhiLuan/2D-Cellular-Metamaterials-Metamaterials.zip
Files
(45.3 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/ShengzhiLuan/2D-Cellular-Metamaterials/tree/Metamaterials (URL)