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|a eng
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|a Deng, Weiting
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|a AI-Enabled Materials Design of Non-Periodic 3D Architectures With Predictable Direction-Dependent Elastic Properties
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|c 2024
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|a Text
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|a Date Revised 21.08.2024
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2024 Wiley‐VCH GmbH.
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|a 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
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|a Journal Article
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|a additive manufacturing
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|a anisotropy
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|a biomimetic
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|a machine learning
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|a scaffold design
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|a Kumar, Siddhant
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|a Vallone, Alberto
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|a Kochmann, Dennis M
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|a Greer, Julia R
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