{"created":"2023-05-15T14:55:52.320675+00:00","id":75869,"links":{},"metadata":{"_buckets":{"deposit":"bd1947c1-ce87-43b0-9b00-7d4a35acbd76"},"_deposit":{"created_by":1,"id":"75869","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"75869"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00075869","sets":["10:28"]},"author_link":["753704","753703","753702","753701"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2019-05-13","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"新たに開発した輸送ソルバGOTRESSは輸送モデルTGLFと協調動作するが、計算速度は遅い。GOTRESSは遺伝的アルゴリズムを用いているため、解周辺におけるデータを大量に生成することを得意としている。そのため、並列計算で得られた数ステップ分のTGLF出力データを元にTGLFを模擬するニューラルネットワークを訓練し、訓練されたモデルを用いてGOTRESSを動作させ高速に収束解を得られる仕組みを構築した。JT-60Uの複数の放電を対象に、高速化の度合いやハイパーパラメータの調整による結果の違いなどについて検証を行った結果を示し、深層学習モデルの有効性を実証した。","subitem_description_type":"Abstract"}]},"item_10005_description_6":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）","attribute_value_mlt":[{"subitem_description":"2nd International Conference on Data Driven Plasma Science (ICDDPS)","subitem_description_type":"Other"}]},"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":"本多, 充"}],"nameIdentifiers":[{"nameIdentifier":"753701","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"成田, 絵美"}],"nameIdentifiers":[{"nameIdentifier":"753702","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Honda, Mitsuru","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"753703","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Narita, Emi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"753704","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 object","resourceuri":"http://purl.org/coar/resource_type/c_c94f"}]},"item_title":"Fast computation of the steady-state transport solver GOTRESS　assisted by a deep neural network modeling","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Fast computation of the steady-state transport solver GOTRESS　assisted by a deep neural network modeling"}]},"item_type_id":"10005","owner":"1","path":["28"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-05-21"},"publish_date":"2019-05-21","publish_status":"0","recid":"75869","relation_version_is_last":true,"title":["Fast computation of the steady-state transport solver GOTRESS　assisted by a deep neural network modeling"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-16T00:52:25.282933+00:00"}