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Deep learning aided topology optimization of phononic crystals

dc.contributor.authorKudela, P
dc.contributor.authorIjjeh, A
dc.contributor.authorRadzienski, M
dc.contributor.authorMiniaci, M
dc.contributor.authorPugno, N
dc.contributor.authorOstachowicz, W
dc.date.accessioned2023-12-20T13:52:00Z
dc.date.available2023-07-22
dc.date.available2023-12-20T13:52:00Z
dc.date.issued2023
dc.identifier.issn0888-3270
dc.identifier.otherARTN 110636
dc.identifier.otherARTN 110636
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/93168
dc.description.abstractIn this work, a novel approach for the topology optimization of phononic crystals based on the replacement of the computationally demanding traditional solvers for the calculation of dispersion diagrams with a surrogate deep learning (DL) model is proposed. We show that our trained DL model is ultrafast in the prediction of the dispersion diagrams, and therefore can be efficiently used in the optimization framework.en_US
dc.publisherElsevieren_US
dc.relation.ispartofMECHANICAL SYSTEMS AND SIGNAL PROCESSING
dc.rightsThis item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectBand gapen_US
dc.subjectPhononic crystalen_US
dc.subjectLamb wavesen_US
dc.subjectOptimizationen_US
dc.subjectDeep neural networken_US
dc.titleDeep learning aided topology optimization of phononic crystalsen_US
dc.typeArticleen_US
dc.rights.holder© 2023 The Authors. Published by Elsevier Ltd.
dc.identifier.doi10.1016/j.ymssp.2023.110636
pubs.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001052218600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume200en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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This item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Except where otherwise noted, this item's license is described as This item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.