{"created":"2023-05-15T12:00:38.453033+00:00","id":7531,"links":{},"metadata":{"_buckets":{"deposit":"b1dbdefb-81ef-42b9-87ed-606dd60d1ab6"},"_deposit":{"created_by":3,"id":"7531","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"7531"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00007531","sets":["8:24"]},"author_link":["22854","32556","32554","32552","32555","30607"],"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-02-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"SC","bibliographicPageEnd":"SCCF02-5","bibliographicPageStart":"SCCF02-1","bibliographicVolumeNumber":"60","bibliographic_titles":[{"bibliographic_title":"Japanese Journal of Applied Physics"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Reservoir computing (RC), a low-power computational framework derived from recurrent neural networks, is suitable for temporal/sequential data processing. Here, we report the development of RC devices utilizing Ag–Ag2S core–shell nanoparticles (NPs), synthesized by a simple wet chemical protocol, as the reservoir layer. We examined the NP-based reservoir layer for the required properties of RC hardware, such as echo state property, and then performed the benchmark tasks. Our study on NP-based reservoirs highlighted the importance of the dynamics between the NPs as indicated by the rich high dimensionality due to the echo state property. These dynamics affected the accuracy (up to 99%) of the target waveforms that were generated with a low number of readout channels. Our study demonstrates the great potential of Ag–Ag2S NPs for the development of next-generation RC hardware.","subitem_description_type":"Abstract"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"応用物理学会"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.35848/1347-4065/abe206","subitem_relation_type_select":"DOI"}}]},"item_21_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2021 The Japan Society of Applied Physics"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12295836","subitem_source_identifier_type":"NCID"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1347-4065","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"0021-4922","subitem_source_identifier_type":"ISSN"}]},"item_21_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"548","subitem_subject_scheme":"NDC"}]},"item_21_text_36":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Kyushu Institute of Technology"},{"subitem_text_value":"Kyushu Institute of Technology"},{"subitem_text_value":"Kyushu Institute of Technology"},{"subitem_text_value":"Kyushu Institute of Technology"},{"subitem_text_value":"Fuzzy Logic System Institute, National Institute of Technology, Kure College"},{"subitem_text_value":"Kyushu Institute of Technology, Fuzzy Logic System Institute"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"8831"}]},"item_21_version_type_58":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hadiyawarman"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Usami, Yuki","creatorNameLang":"en"},{"creatorName":"宇佐美, 雄生","creatorNameLang":"ja"},{"creatorName":"ウサミ, ユウキ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{},{}]},{"creatorNames":[{"creatorName":"Kotooka,  Takumi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Azhari,  Saman"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Eguchi,  Masanori"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Tanaka, Hirofumi","creatorNameLang":"en"},{"creatorName":"田中, 啓文","creatorNameLang":"ja"},{"creatorName":"タナカ, ヒロフミ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2022-02-22"}],"displaytype":"detail","filename":"neuro_14.pdf","filesize":[{"value":"692.3 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"neuro_14.pdf","url":"https://kyutech.repo.nii.ac.jp/record/7531/files/neuro_14.pdf"},"version_id":"4314d59c-6e04-4975-a6b3-4350b03676f5"}]},"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":"Performance of Ag–Ag2S core–shell nanoparticle-based random network reservoir computing device","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Performance of Ag–Ag2S core–shell nanoparticle-based random network reservoir computing device"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-22"},"publish_date":"2022-02-22","publish_status":"0","recid":"7531","relation_version_is_last":true,"title":["Performance of Ag–Ag2S core–shell nanoparticle-based random network reservoir computing device"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-10-25T10:20:24.021186+00:00"}