{"created":"2023-05-15T15:00:21.369059+00:00","id":81911,"links":{},"metadata":{"_buckets":{"deposit":"72fd5053-0c36-41ad-8ec2-192475dae846"},"_deposit":{"created_by":1,"id":"81911","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"81911"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00081911","sets":["2"]},"author_link":["928611","928616","928612","928609","928614","928608","928615","928613","928610"],"item_10003_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-02","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{"bibliographic_title":"第18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":"準線形乱流輸送モデルDeKANISはニューラルネットワーク(NN)を用いることで、ジャイロ運動論コードが予測する拡散・ピンチ過程の輸送量への寄与を高速に再現できる。NNの学習に用いるデータの拡張などの改良によって、統合コードにおける輸送シミュレーションが可能になった。また、乱流揺動の飽和レベルは半経験的な手法で評価していたが、混合長理論に基づく手法を導入し、汎用性が以前よりも向上する可能性を示した。","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":"928608","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Mitsuru, Honda"}],"nameIdentifiers":[{"nameIdentifier":"928609","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Motoki, Nakata"}],"nameIdentifiers":[{"nameIdentifier":"928610","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Maiko, Yoshida"}],"nameIdentifiers":[{"nameIdentifier":"928611","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Nobuhiko, Hayashi"}],"nameIdentifiers":[{"nameIdentifier":"928612","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Emi, Narita","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"928613","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Mitsuru, Honda","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"928614","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Maiko, Yoshida","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"928615","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Nobuhiko, Hayashi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"928616","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":"Integrated transport simulations with a neural-network transport model and development of turbulence saturation rules","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Integrated transport simulations with a neural-network transport model and development of turbulence saturation rules"}]},"item_type_id":"10003","owner":"1","path":["2"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-02-19"},"publish_date":"2021-02-19","publish_status":"0","recid":"81911","relation_version_is_last":true,"title":["Integrated transport simulations with a neural-network transport model and development of turbulence saturation rules"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T20:41:24.967135+00:00"}