date: 2020-01-14T10:21:00Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design xmp:CreatorTool: Elsevier access_permission:can_print_degraded: true subject: Engineering, 5 (2019) 1017-1026. doi:10.1016/j.eng.2019.02.011 language: EN dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Elsevier access_permission:fill_in_form: true pdf:encrypted: false dc:title: Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design modified: 2020-01-14T10:21:00Z cp:subject: Engineering, 5 (2019) 1017-1026. doi:10.1016/j.eng.2019.02.011 robots: noindex pdf:docinfo:custom:CrossMarkDomains[1]: sciencedirect.com pdf:docinfo:subject: Engineering, 5 (2019) 1017-1026. doi:10.1016/j.eng.2019.02.011 pdf:docinfo:creator: Teng Zhou meta:author: Teng Zhou trapped: False meta:creation-date: 2019-12-27T14:55:20Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: 2019-12-27T14:55:20Z access_permission:extract_for_accessibility: true Creation-Date: 2019-12-27T14:55:20Z pdf:docinfo:custom:CrossMarkDomains[2]: elsevier.com pdf:docinfo:custom:doi: 10.1016/j.eng.2019.02.011 ElsevierWebPDFSpecifications: 6.5 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Teng Zhou producer: Acrobat Distiller 8.0.0 (Windows) CrossmarkDomainExclusive: true pdf:docinfo:producer: Acrobat Distiller 8.0.0 (Windows) doi: 10.1016/j.eng.2019.02.011 pdf:unmappedUnicodeCharsPerPage: 2 dc:description: Engineering, 5 (2019) 1017-1026. doi:10.1016/j.eng.2019.02.011 access_permission:modify_annotations: true dc:creator: Teng Zhou description: Engineering, 5 (2019) 1017-1026. doi:10.1016/j.eng.2019.02.011 dcterms:created: 2019-12-27T14:55:20Z Last-Modified: 2020-01-14T10:21:00Z dcterms:modified: 2020-01-14T10:21:00Z title: Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design xmpMM:DocumentID: uuid:fd6bd941-e86c-41d8-9eaf-ac9c58622abb Last-Save-Date: 2020-01-14T10:21:00Z CrossMarkDomains[1]: sciencedirect.com pdf:docinfo:modified: 2020-01-14T10:21:00Z meta:save-date: 2020-01-14T10:21:00Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Teng Zhou dc:language: EN pdf:docinfo:custom:ElsevierWebPDFSpecifications: 6.5 access_permission:assemble_document: true xmpTPg:NPages: 10 pdf:charsPerPage: 4438 access_permission:extract_content: true access_permission:can_print: true pdf:docinfo:trapped: False CrossMarkDomains[2]: elsevier.com access_permission:can_modify: true pdf:docinfo:created: 2019-12-27T14:55:20Z CrossmarkMajorVersionDate: 2010-04-23