A data-driven framework for structure-property correlation in ordered and disordered cellular metamaterials.

ABSTRACT: Extracting the relation between microstructural features and resulting material properties is essential for advancing our fundamental knowledge on the mechanics of cellular metamaterials and to enable the design of novel material systems. Here, we present a unified framework that not only allows the prediction of macroscopic properties but, more importantly, also reveals their connection to key morphological characteristics, as identified by the integration of machine-learning models and interpretability algorithms. We establish the complex manner in which strut orientation can be critical in determining effective stiffness for certain microstructures and highlight cellular metamaterials with counterintuitive material behavior. We further provide a refined version of Maxwell's criteria reg

SUBMITTER: Luan S 

PROVIDER: S-EPMC10575583 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature