Inverting the structure–property map of truss metamaterials by deep learning
Inverting the structure–property map of truss metamaterials by deep learning
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United States: National Academy of Sciences
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Language
English
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Publisher
United States: National Academy of Sciences
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Contents
Inspired by crystallography, the periodic assembly of trusses into architected materials has enjoyed popularity for more than a decade and produced countless cellular structures with beneficial mechanical properties. Despite the successful and steady enrichment of the truss design space, the inverse design has remained a challenge: While predicting...
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Full title
Inverting the structure–property map of truss metamaterials by deep learning
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8740766
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8740766
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ISSN
0027-8424
E-ISSN
1091-6490
DOI
10.1073/pnas.2111505119