date: 2021-12-07T14:21:59Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation xmp:CreatorTool: XeLateX with hyperref package access_permission:can_print_degraded: true subject: Machine Learning: Science and Technology, 1 (2020) 045024 doi: 10.1088/2632-2153/aba947 language: dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: XeLateX with hyperref package access_permission:fill_in_form: true pdf:encrypted: false dc:title: Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation modified: 2021-12-07T14:21:59Z cp:subject: Machine Learning: Science and Technology, 1 (2020) 045024 doi: 10.1088/2632-2153/aba947 pdf:docinfo:custom:CrossMarkDomains[1]: iop.org robots: noindex pdf:docinfo:subject: Machine Learning: Science and Technology, 1 (2020) 045024 doi: 10.1088/2632-2153/aba947 pdf:docinfo:creator: Mario Krenn ,Florian Hse ,AkshatKumar Nigam ,Pascal Friederich ,Alan Aspuru-Guzik meta:author: Mario Krenn ,Florian Hse ,AkshatKumar Nigam ,Pascal Friederich ,Alan Aspuru-Guzik meta:creation-date: 2020-11-01T03:40:00Z created: 2020-11-01T03:40:00Z access_permission:extract_for_accessibility: true Creation-Date: 2020-11-01T03:40:00Z pdf:docinfo:custom:doi: 10.1088/2632-2153/aba947 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Mario Krenn ,Florian Hse ,AkshatKumar Nigam ,Pascal Friederich ,Alan Aspuru-Guzik producer: XeLateX; modified using iText® 5.5.10 ©2000-2015 iText Group NV (AGPL-version) (AGPL-version) (AGPL-version) CrossmarkDomainExclusive: true pdf:docinfo:producer: XeLateX; modified using iText® 5.5.10 ©2000-2015 iText Group NV (AGPL-version) (AGPL-version) (AGPL-version) doi: 10.1088/2632-2153/aba947 pdf:docinfo:custom:CrossMarkMajorVersionDate: 2020-10-28 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Machine Learning: Science and Technology, 1 (2020) 045024 doi: 10.1088/2632-2153/aba947 Keywords: deep generative models,formal grammar,inverse molecular design,molecular graph representation access_permission:modify_annotations: true dc:creator: Mario Krenn ,Florian Hse ,AkshatKumar Nigam ,Pascal Friederich ,Alan Aspuru-Guzik description: Machine Learning: Science and Technology, 1 (2020) 045024 doi: 10.1088/2632-2153/aba947 dcterms:created: 2020-11-01T03:40:00Z Last-Modified: 2021-12-07T14:21:59Z dcterms:modified: 2021-12-07T14:21:59Z title: Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation xmpMM:DocumentID: uuid:0a39b182-0054-4188-8205-9bb6267f2b1d Last-Save-Date: 2021-12-07T14:21:59Z CrossMarkDomains[1]: iop.org pdf:docinfo:keywords: deep generative models,formal grammar,inverse molecular design,molecular graph representation pdf:docinfo:modified: 2021-12-07T14:21:59Z meta:save-date: 2021-12-07T14:21:59Z CrossMarkMajorVersionDate: 2020-10-28 Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Mario Krenn ,Florian Hse ,AkshatKumar Nigam ,Pascal Friederich ,Alan Aspuru-Guzik dc:language: dc:subject: deep generative models,formal grammar,inverse molecular design,molecular graph representation access_permission:assemble_document: true xmpTPg:NPages: 9 pdf:charsPerPage: 1099 access_permission:extract_content: true access_permission:can_print: true meta:keyword: deep generative models,formal grammar,inverse molecular design,molecular graph representation access_permission:can_modify: true pdf:docinfo:created: 2020-11-01T03:40:00Z