Abstract
Natural porous materials have exceptional properties—for example, light weight, mechanical resilience, and multi-functionality. Efforts to imitate their properties in engineered structures have limited success. This, in part, is caused by the complexity of multi-phase materials composites and by the lack of quantified understanding of each component's role in overall hierarchy. This challenge is twofold: 1) computational. because non-periodicity and defects render constructing design guidelines between geometries and mechanical properties complex and expensive and 2) experimental. because the fabrication and characterization of complex, often hierarchical and non-periodic 3D architectures is non-trivial.
Original language | English |
---|---|
Journal | Advanced Materials |
DOIs | |
Publication status | Accepted/In press - 2024 |
Funding
The authors gratefully acknowledge financial support from the Office of Naval Research Award N00014‐22‐1‐2384.Keywords
- additive manufacturing
- anisotropy
- biomimetic
- machine learning
- scaffold design