date: 2026-05-31T04:36:42Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Probabilistic anticipation of AMOC transitions under critical forcing magnitudes and rates via deep learning xmp:CreatorTool: Elsevier access_permission:can_print_degraded: true subject: Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, 209 (2026) 118374. doi:10.1016/j.chaos.2026.118374 language: en-US dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Elsevier access_permission:fill_in_form: true pdf:docinfo:custom:CreationDate--Text: 31st May 2026 pdf:encrypted: false dc:title: Probabilistic anticipation of AMOC transitions under critical forcing magnitudes and rates via deep learning modified: 2026-05-31T04:36:42Z cp:subject: Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, 209 (2026) 118374. doi:10.1016/j.chaos.2026.118374 pdf:docinfo:custom:CrossMarkDomains[1]: elsevier.com robots: noindex pdf:docinfo:subject: Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, 209 (2026) 118374. doi:10.1016/j.chaos.2026.118374 pdf:docinfo:creator: Wenjie Zhang meta:author: Yu Huang meta:creation-date: 2026-05-30T08:45:18Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: 2026-05-30T08:45:18Z access_permission:extract_for_accessibility: true Creation-Date: 2026-05-30T08:45:18Z pdf:docinfo:custom:CrossMarkDomains[2]: sciencedirect.com ElsevierWebPDFSpecifications: 7.0.1 pdf:docinfo:custom:doi: 10.1016/j.chaos.2026.118374 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Yu Huang producer: Acrobat Distiller 8.1.0 (Windows) CrossmarkDomainExclusive: true pdf:docinfo:producer: Acrobat Distiller 8.1.0 (Windows) CreationDate--Text: 31st May 2026 doi: 10.1016/j.chaos.2026.118374 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, 209 (2026) 118374. doi:10.1016/j.chaos.2026.118374 Keywords: AMOC instability,Deep learning,Bifurcation-induced transition,Rate-induced transition,Noise-induced transition,Complex systems access_permission:modify_annotations: true dc:creator: Yu Huang description: Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, 209 (2026) 118374. doi:10.1016/j.chaos.2026.118374 dcterms:created: 2026-05-30T08:45:18Z Last-Modified: 2026-05-31T04:36:42Z dcterms:modified: 2026-05-31T04:36:42Z title: Probabilistic anticipation of AMOC transitions under critical forcing magnitudes and rates via deep learning xmpMM:DocumentID: uuid:1b499bed-4ce8-4c0c-b682-0d58baae1cbe Last-Save-Date: 2026-05-31T04:36:42Z CrossMarkDomains[1]: elsevier.com pdf:docinfo:keywords: AMOC instability,Deep learning,Bifurcation-induced transition,Rate-induced transition,Noise-induced transition,Complex systems pdf:docinfo:modified: 2026-05-31T04:36:42Z meta:save-date: 2026-05-31T04:36:42Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Yu Huang dc:language: en-US dc:subject: AMOC instability,Deep learning,Bifurcation-induced transition,Rate-induced transition,Noise-induced transition,Complex systems pdf:docinfo:custom:ElsevierWebPDFSpecifications: 7.0.1 access_permission:assemble_document: true xmpTPg:NPages: 11 pdf:charsPerPage: 3960 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: sciencedirect.com meta:keyword: AMOC instability,Deep learning,Bifurcation-induced transition,Rate-induced transition,Noise-induced transition,Complex systems access_permission:can_modify: true pdf:docinfo:created: 2026-05-30T08:45:18Z CrossmarkMajorVersionDate: 2010-04-23