{"created":"2023-05-15T15:02:38.156574+00:00","id":84925,"links":{},"metadata":{"_buckets":{"deposit":"49246323-eca1-48ae-9146-04935691b7b1"},"_deposit":{"created_by":1,"id":"84925","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"84925"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00084925","sets":["1"]},"author_link":["1024212","1024211","1024214","1024217","1024216","1024219","1024215","1024218","1024213"],"item_8_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicPageStart":"116041","bibliographicVolumeNumber":"61","bibliographic_titles":[{"bibliographic_title":"Nuclear Fusion"}]}]},"item_8_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"A novel quasilinear turbulent transport model DeKANIS has been constructed founded on the gyrokinetic analysis of JT-60U plasmas. DeKANIS predicts particle and heat fluxes fast with a neural network (NN) based approach and distinguishes diffusive and non-diffusive transport processes. The original model only considered particle transport, but its capability has been extended to cover multi-channel turbulent transport. To solve a set of particle and heat transport equations stably in integrated codes with DeKANIS, the NN model embedded in DeKANIS has been modified. DeKANIS originally determined turbulent saturation levels semi-empirically based on JT-60U experimental data, but now it can also estimate them using a theory-based saturation rule. The new saturation model is still partly connected to experimental data, but it offers the potential for applying DeKANIS independently of the device.","subitem_description_type":"Abstract"}]},"item_8_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IOP Publishing"}]},"item_8_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1088/1741-4326/ac25be","subitem_relation_type_select":"DOI"}}]},"item_8_relation_17":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://iopscience.iop.org/article/10.1088/1741-4326/ac25be/meta","subitem_relation_type_select":"URI"}}]},"item_8_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0029-5515","subitem_source_identifier_type":"ISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Emi, Narita"}],"nameIdentifiers":[{"nameIdentifier":"1024211","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Mitsuru, Honda"}],"nameIdentifiers":[{"nameIdentifier":"1024212","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Nakata, M."}],"nameIdentifiers":[{"nameIdentifier":"1024213","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Maiko, Yoshida"}],"nameIdentifiers":[{"nameIdentifier":"1024214","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Nobuhiko, Hayashi"}],"nameIdentifiers":[{"nameIdentifier":"1024215","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Emi, Narita","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1024216","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Mitsuru, Honda","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1024217","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Maiko, Yoshida","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1024218","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Nobuhiko, Hayashi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1024219","nameIdentifierScheme":"WEKO"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Quasilinear turbulent particle and heat transport modelling with a neural-network- based approach founded on gyrokinetic calculations and experimental data","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Quasilinear turbulent particle and heat transport modelling with a neural-network- based approach founded on gyrokinetic calculations and experimental data"}]},"item_type_id":"8","owner":"1","path":["1"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-12-28"},"publish_date":"2021-12-28","publish_status":"0","recid":"84925","relation_version_is_last":true,"title":["Quasilinear turbulent particle and heat transport modelling with a neural-network- based approach founded on gyrokinetic calculations and experimental data"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T18:06:59.070225+00:00"}