{"created":"2021-03-01T06:34:54.309103+00:00","id":26941,"links":{},"metadata":{"_buckets":{"deposit":"f5f985d4-6a54-4800-8dbd-e21280f06c62"},"_deposit":{"id":"26941","owners":[],"pid":{"revision_id":0,"type":"depid","value":"26941"},"status":"published"},"_oai":{"id":"oai:nagoya.repo.nii.ac.jp:00026941","sets":["336:695:696"]},"author_link":["88279","88280"],"item_10_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1997-08","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"2233","bibliographicPageStart":"2228","bibliographicVolumeNumber":"56","bibliographic_titles":[{"bibliographic_title":"Physical Review E","bibliographic_titleLang":"en"}]}]},"item_10_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"We present a Monte Carlo algorithm which enhances equilibrization of low-temperature simulations and allows sampling of configurations over a large range of energies. The method is based on a non-Boltzmann probability weight factor and is another version of the so-called generalized-ensemble techniques. The effectiveness of the approach is demonstrated for the system of a small peptide, an example of the frustrated system with a rugged energy landscape.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"American Physical Society","subitem_publisher_language":"en"}]},"item_10_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1103/PhysRevE.56.2228","subitem_relation_type_select":"DOI"}}]},"item_10_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 1997 American Physical Society","subitem_rights_language":"en"}]},"item_10_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_10_source_id_61":{"attribute_name":"ISSN（print）","attribute_value_mlt":[{"subitem_source_identifier":"2470-0045","subitem_source_identifier_type":"PISSN"}]},"item_10_source_id_62":{"attribute_name":"ISSN（Online）","attribute_value_mlt":[{"subitem_source_identifier":"2470-0053","subitem_source_identifier_type":"EISSN"}]},"item_1615787544753":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hansmann, Ulrich H. E.","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"88279","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Okamoto, Yuko","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"88280","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-12-25"}],"displaytype":"detail","filename":"PhysRevE_56_2228.pdf","filesize":[{"value":"138.0 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"PhysRevE_56_2228","objectType":"fulltext","url":"https://nagoya.repo.nii.ac.jp/record/26941/files/PhysRevE_56_2228.pdf"},"version_id":"2b1e53a9-8830-4689-8640-3d563de694b9"}]},"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":"Generalized-ensemble Monte Carlo method for systems with rough energy landscape","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Generalized-ensemble Monte Carlo method for systems with rough energy landscape","subitem_title_language":"en"}]},"item_type_id":"10","owner":"1","path":["696"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2018-12-25"},"publish_date":"2018-12-25","publish_status":"0","recid":"26941","relation_version_is_last":true,"title":["Generalized-ensemble Monte Carlo method for systems with rough energy landscape"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-01-16T04:17:27.370487+00:00"}