{"created":"2023-05-15T15:03:07.074195+00:00","id":85504,"links":{},"metadata":{"_buckets":{"deposit":"95f89b7a-939e-4a16-b774-a6f79eddc0b9"},"_deposit":{"created_by":1,"id":"85504","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"85504"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00085504","sets":["2"]},"author_link":["1037434","1037432","1037429","1037428","1037427","1037433","1037431","1037430"],"item_10003_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2022-02","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{"bibliographic_title":"第19回核燃焼プラズマ統合コード研究会"}]}]},"item_10003_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The gyrokinetic-based turbulent transport models are essential to predict density and temperature profiles, but introducing detailed descriptions of turbulence physics tends to increase the computational cost. To accelerate the profile predictions, a neural-network (NN) based approach has been undertaken. Our study is also developing a NN-based turbulent transport model DeKANIS. A turbulent saturation rule employed in DeKANIS was based on experimental particle fluxes estimated for JT-60U H-mode plasmas, and it was apt to overestimate temperatures. To reduce the overestimation, a different saturation rule is built including experimental heat fluxes.","subitem_description_type":"Abstract"}]},"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":"1037427","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Mitsuru, Honda"}],"nameIdentifiers":[{"nameIdentifier":"1037428","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Motoki, Nakata"}],"nameIdentifiers":[{"nameIdentifier":"1037429","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Maiko, Yoshida"}],"nameIdentifiers":[{"nameIdentifier":"1037430","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Nobuhiko, Hayashi"}],"nameIdentifiers":[{"nameIdentifier":"1037431","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Emi, Narita","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1037432","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Maiko, Yoshida","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1037433","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Nobuhiko, Hayashi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1037434","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":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Development of a semi-empirical particle and heat transport model and improvement in its turbulent saturation rule","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Development of a semi-empirical particle and heat transport model and improvement in its turbulent saturation rule"}]},"item_type_id":"10003","owner":"1","path":["2"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-03-21"},"publish_date":"2022-03-21","publish_status":"0","recid":"85504","relation_version_is_last":true,"title":["Development of a semi-empirical particle and heat transport model and improvement in its turbulent saturation rule"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T17:30:16.703886+00:00"}