{"_buckets": {"deposit": "d3b3c1d5-0226-44d9-9545-451cb6b1b0ca"}, "_deposit": {"created_by": 15, "id": "2000197", "owner": "15", "owners": [15], "owners_ext": {"displayname": "\u5317\u898b\u5de5\u696d\u5927\u5b66\u5b66\u8853\u6a5f\u95a2\u30ea\u30dd\u30b8\u30c8\u30ea\uff08KIT-R\uff09", "username": "kitir"}, "pid": {"revision_id": 0, "type": "depid", "value": "2000197"}, "status": "published"}, "_oai": {"id": "oai:kitami-it.repo.nii.ac.jp:02000197", "sets": []}, "author_link": [], "control_number": "2000197", "item_7_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2022-03", "bibliographicIssueDateType": "Issued"}}]}, "item_7_date_granted_63": {"attribute_name": "\u5b66\u4f4d\u6388\u4e0e\u5e74\u6708\u65e5", "attribute_value_mlt": [{"subitem_dategranted": "2022-03-18"}]}, "item_7_degree_grantor_61": {"attribute_name": "\u5b66\u4f4d\u6388\u4e0e\u6a5f\u95a2", "attribute_value_mlt": [{"subitem_degreegrantor": [{"subitem_degreegrantor_language": "ja", "subitem_degreegrantor_name": "\u5317\u898b\u5de5\u696d\u5927\u5b66"}], "subitem_degreegrantor_identifier": [{"subitem_degreegrantor_identifier_name": "10106", "subitem_degreegrantor_identifier_scheme": "kakenhi"}]}]}, "item_7_degree_name_60": {"attribute_name": "\u5b66\u4f4d\u540d", "attribute_value_mlt": [{"subitem_degreename": "\u535a\u58eb\uff08\u5de5\u5b66\uff09", "subitem_degreename_language": "ja"}]}, "item_7_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "In this study, WO3 NPs dispersion ink with excellent adhesion was developed for the\nfabrication of electrochromic devices capable of wet coating, device fabrication tests were\nperformed using the developed materials, and performance was predicted and\ndemonstrated using machine learning.\nTo improve the adhesion between the WO3 nanoparticles and the substrate of the ink,\npolyvinyl alcohol (PVA) was added as an additive. PVA was adjusted to 0-10 wt.%, and\nelectrochemical properties and EC properties were studied. As a result, the WO3 thin film\nprepared with 1 wt.% PVA addition showed excellent adhesion between WO3\nnanoparticles and substrate. In addition, it was found that the composition of the WO3\nthin film exhibiting excellent electrochemical properties with the largest coloration\nefficiency of 35 cm2/C and electrochromic properties with a change in visible light (\u03bb =\n633 nm) transmittance of 90%\u21d413%.\nTo fabricate the next-generation EC device, we investigated the fabrication of flexible\nECD using a PET substrate. For the preparation of EC materials, coated WO3 and PB\nfilms were prepared using the WO3 synthesized in Chapter 3 and the PB ink originally\ndeveloped by Adhesion and Interface Research Group at National Institute of Advanced\nIndustrial Science and Technology (AIST), and these were assembled to prepare a flexible\nEC device. The prepared flexible PET EC device showed a dramatic color change from\ntransparent to dark blue and showed higher coloring efficiency (123.32 cm2 / C) than the\nconventional glass EC device (86.44 cm2 / C). Furthermore, it showed electrochemical\nstability without deterioration up to 100 cycles, and mechanically excellent durability\nagainst repeated bending and twisting experiments.\nFinally, machine learning was applied to obtain the optimal WO3 NPs dispersed ink\npreparation condition for the application of EC materials. The predicted value obtained\nthrough simulation showed an accuracy of more than 90% with the experimental value.\nIn addition, the highest coloring efficiency value of 38.2 cm2/C obtained through this\nstudy was improved by about 10% compared to the coloring efficiency value (35.0 cm2/C)\nof Chapter 3. Therefore, we believe that it is possible to develop an optimized process for\nthe preparation of EC materials using machine learning. In the future, we will focus on\nthe development of functional nano-dispersion inks optimized to prepare functional thin\nfilms using various parameters (materials, manufacturing conditions, atmosphere, etc.)\nthrough simulation prediction using more advanced algorithms.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_7_dissertation_number_64": {"attribute_name": "\u5b66\u4f4d\u6388\u4e0e\u756a\u53f7", "attribute_value_mlt": [{"subitem_dissertationnumber": "\u7532\u7b2c197\u53f7"}]}, "item_7_full_name_67": {"attribute_name": "\u8457\u8005\uff08\u82f1\uff09", "attribute_value_mlt": [{"names": [{"name": "JEONG\u3000CHANYANG"}]}]}, "item_7_identifier_registration": {"attribute_name": "ID\u767b\u9332", "attribute_value_mlt": [{"subitem_identifier_reg_text": "10.19000/0002000197", "subitem_identifier_reg_type": "JaLC"}]}, "item_7_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "\u5317\u898b\u5de5\u696d\u5927\u5b66", "subitem_publisher_language": "ja"}]}, "item_7_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "ETD"}]}, "item_7_text_66": {"attribute_name": "\u7814\u7a76\u79d1\u30fb\u5c02\u653b\u540d", "attribute_value_mlt": [{"subitem_text_language": "ja", "subitem_text_value": "\u751f\u7523\u57fa\u76e4\u5de5\u5b66\u5c02\u653b"}]}, "item_access_right": {"attribute_name": "\u30a2\u30af\u30bb\u30b9\u6a29", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "JEONG CHANYANG", "creatorNameLang": "en"}, {"creatorName": "\u30c1\u30e7\u30f3\u3000\u30c1\u30e3\u30f3\u30e4\u30f3", "creatorNameLang": "ja"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2022-04-15"}], "download_preview_message": "", "file_order": 0, "filename": "JEONG CHANYANG.pdf", "filesize": [{"value": "3.4 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 3400000.0, "url": {"objectType": "fulltext", "url": "https://kitami-it.repo.nii.ac.jp/record/2000197/files/JEONG CHANYANG.pdf"}, "version_id": "6f19f403-07d7-4084-967b-a75a70245962"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "doctoral thesis", "resourceuri": "http://purl.org/coar/resource_type/c_db06"}]}, "item_title": "Fabrication and Evaluation of Functional Thin Films and Electrochemical Devices and Application of Machine Learning", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Fabrication and Evaluation of Functional Thin Films and Electrochemical Devices and Application of Machine Learning", "subitem_title_language": "en"}, {"subitem_title": "\u6a5f\u80fd\u6027\u8584\u819c\u3068\u96fb\u6c17\u5316\u5b66\u30c7\u30d0\u30a4\u30b9\u306e\u4f5c\u88fd\u3068\u8a55\u4fa1 \u53ca\u3073\u6a5f\u68b0\u5b66\u7fd2\u306e\u5fdc\u7528", "subitem_title_language": "ja"}]}, "item_type_id": "7", "owner": "15", "path": ["2/6"], "permalink_uri": "https://doi.org/10.19000/0002000197", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2022-03-18"}, "publish_date": "2022-03-18", "publish_status": "0", "recid": "2000197", "relation": {}, "relation_version_is_last": true, "title": ["Fabrication and Evaluation of Functional Thin Films and Electrochemical Devices and Application of Machine Learning"], "weko_shared_id": 3}