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Inverting the structure–property map of truss metamaterials by deep learning

Inverting the structure–property map of truss metamaterials by deep learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8740766

Inverting the structure–property map of truss metamaterials by deep learning

About this item

Full title

Inverting the structure–property map of truss metamaterials by deep learning

Publisher

United States: National Academy of Sciences

Journal title

Proceedings of the National Academy of Sciences - PNAS, 2022-01, Vol.119 (1), p.1-8

Language

English

Formats

Publication information

Publisher

United States: National Academy of Sciences

More information

Scope and Contents

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...

Alternative Titles

Full title

Inverting the structure–property map of truss metamaterials by deep learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8740766

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8740766

Other Identifiers

ISSN

0027-8424

E-ISSN

1091-6490

DOI

10.1073/pnas.2111505119

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