{"created":"2023-05-15T15:00:45.429261+00:00","id":82424,"links":{},"metadata":{"_buckets":{"deposit":"5aa60811-66f3-4467-922c-374ec3996ce7"},"_deposit":{"created_by":1,"id":"82424","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"82424"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00082424","sets":["10:27"]},"author_link":["939966","939965"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2021-01-22","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"角度分解光電子分光（ARPES）は、物質内部の電子状態を直接観測できる強力な実験手法である。先端的なARPES計測手法の1つである顕微ARPESは、高空間分解能を活かした局所領域の電子状態の計測やオペランド計測の観点から注目を集めている。本講演では、まず、ARPESや顕微ARPESの原理を説明する。続いて、各計測手法に必要なハードウェア構成や自動制御方法（ソフトウェア）について説明する。さらに、顕微ARPESを用いた銅酸化物高温超伝導体の局所領域における電子状態の研究について紹介する。最後に機械学習を用いた顕微ARPESデータ解析について紹介する。","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":"佐賀大学シンクロトロン光応用研究センター講演会","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":"岩澤, 英明"}],"nameIdentifiers":[{"nameIdentifier":"939965","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Hideaki, Iwasawa","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"939966","nameIdentifierScheme":"WEKO"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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":"機械学習を用いた顕微・角度分解光電子分光データ分析","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習を用いた顕微・角度分解光電子分光データ分析"}]},"item_type_id":"10005","owner":"1","path":["27"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-23"},"publish_date":"2021-03-23","publish_status":"0","recid":"82424","relation_version_is_last":true,"title":["機械学習を用いた顕微・角度分解光電子分光データ分析"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T20:24:08.951513+00:00"}