date: 2022-07-20T07:48:27Z pdf:PDFVersion: 1.5 pdf:docinfo:title: A Hybrid Machine Learning Approach for Structure Stability Prediction in Molecular Co-crystal Screenings xmp:CreatorTool: Arbortext Advanced Print Publisher 11.2.5208/W Library-x64 access_permission:can_print_degraded: true pdf:docinfo:custom:fpage: 4586 subject: J. Chem. Theory Comput. 2022.18:4586-4593 dc:format: application/pdf; version=1.5 pdf:docinfo:creator_tool: Arbortext Advanced Print Publisher 11.2.5208/W Library-x64 access_permission:fill_in_form: true pdf:encrypted: false dc:title: A Hybrid Machine Learning Approach for Structure Stability Prediction in Molecular Co-crystal Screenings modified: 2022-07-20T07:48:27Z cp:subject: J. Chem. Theory Comput. 2022.18:4586-4593 pdf:docinfo:custom:ACS OpenAccess Version: v3.1 pdf:docinfo:subject: J. Chem. Theory Comput. 2022.18:4586-4593 pdf:docinfo:custom:jav:journal_article_version: VoR pdf:docinfo:creator: Simon Wengert, Gábor Csányi, Karsten Reuter, and Johannes T. Margraf meta:author: Simon Wengert, Gábor Csányi, Karsten Reuter, and Johannes T. Margraf fpage: 4586 meta:creation-date: 2022-07-01T23:19:43Z created: 2022-07-01T23:19:43Z pdf:docinfo:custom:prism:versionIdentifier: Issue access_permission:extract_for_accessibility: true Creation-Date: 2022-07-01T23:19:43Z ACS OpenAccess Stamp: 07/05/2022 23:08:54 (CCBY4_0) JCALibraryBuild: 5.1.i4 Author: Simon Wengert, Gábor Csányi, Karsten Reuter, and Johannes T. Margraf producer: Acrobat Distiller 8.1.0 (Windows); modified using iText 4.2.0 by 1T3XT pdf:docinfo:producer: Acrobat Distiller 8.1.0 (Windows); modified using iText 4.2.0 by 1T3XT pdf:unmappedUnicodeCharsPerPage: 0 dc:description: J. Chem. Theory Comput. 2022.18:4586-4593 pdf:docinfo:custom:prism:doi: 10.1021/acs.jctc.2c00343 access_permission:modify_annotations: true pdf:docinfo:custom:JCALibraryBuild: 5.1.i4 dc:creator: Simon Wengert, Gábor Csányi, Karsten Reuter, and Johannes T. Margraf description: J. Chem. Theory Comput. 2022.18:4586-4593 dcterms:created: 2022-07-01T23:19:43Z Last-Modified: 2022-07-20T07:48:27Z dcterms:modified: 2022-07-20T07:48:27Z title: A Hybrid Machine Learning Approach for Structure Stability Prediction in Molecular Co-crystal Screenings xmpMM:DocumentID: uuid:f8a10aeb-87b9-4ea1-8c0f-97a78bc2f396 Last-Save-Date: 2022-07-20T07:48:27Z jav:journal_article_version: VoR pdf:docinfo:modified: 2022-07-20T07:48:27Z meta:save-date: 2022-07-20T07:48:27Z lpage: 4593 Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Simon Wengert, Gábor Csányi, Karsten Reuter, and Johannes T. Margraf access_permission:assemble_document: true xmpTPg:NPages: 8 pdf:charsPerPage: 4244 access_permission:extract_content: true pdf:docinfo:custom:lpage: 4593 access_permission:can_print: true prism:versionIdentifier: Issue ACS OpenAccess Version: v3.1 pdf:docinfo:custom:ACS OpenAccess Stamp: 07/05/2022 23:08:54 (CCBY4_0) prism:doi: 10.1021/acs.jctc.2c00343 access_permission:can_modify: true pdf:docinfo:created: 2022-07-01T23:19:43Z