{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1370588380133657489.json","@type":"Product","dc:title":[{"@value":"Ansys fluent theory guide"}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1380588380133657472","@type":"Researcher","foaf:name":[{"@value":"Fluent, A. N. S. Y. S."}]}],"publication":{"prism:publicationDate":"2023"},"relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360588380133657472","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Prediction of three-dimensional flow field inside realistic fibrous filter obtained from x-ray computed tomography images using deep convolutional neural networks"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1063/5.0206723_references_45R7bg9FkfFGXzeB3nTEWEV5FH5"}]}