A Machine Learning Approach to Improve Turbulence Modelling from DNS Data Using Neural Networks

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datacite.relatedItem.firstPage17
datacite.relatedItem.issue2
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2504-186X
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datacite.relatedItem.titleIJTPP
datacite.relatedItem.volume6
dc.contributor.authorYuri Frey Marioni
dc.contributor.authorEnrique de Toledo Ortiz
dc.contributor.authorAndrea Cassinelli
dc.contributor.authorFrancesco Montomoli
dc.contributor.authorPaolo Adami
dc.contributor.authorRaul Vazquez
dc.date.accessioned2024-08-26T12:04:12Z
dc.date.available2024-08-26T12:04:12Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/ijtpp6020017
dc.identifier.otherjz000096-0035
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/9494
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc620
dc.titleA Machine Learning Approach to Improve Turbulence Modelling from DNS Data Using Neural Networks
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/9495
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