Fractional dynamics and nonlinear mixing in multi-phase porous flow: A hybrid SPH–machine learning framework

Amal A. Aly, Can Huang, Weaam Alhejaili and Sang-Wook Lee

Article (2025)

An external link is available for this item

Department:	Department of Civil, Geological and Mining Engineering
PolyPublie URL:	https://publications.polymtl.ca/66711/
Journal Title:	Chaos Solitons & Fractals (vol. 199)
Publisher:	Elsevier BV
DOI:	10.1016/j.chaos.2025.116841
Official URL:	https://doi.org/10.1016/j.chaos.2025.116841
Date Deposited:	29 Jul 2025 16:13
Last Modified:	29 Jul 2025 16:13

Cite in APA 7:	Aly, A. A., Huang, C., Alhejaili, W., & Lee, S.-W. (2025). Fractional dynamics and nonlinear mixing in multi-phase porous flow: A hybrid SPH–machine learning framework. Chaos Solitons & Fractals, 199, 116841 (19 pages). https://doi.org/10.1016/j.chaos.2025.116841
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Repository Staff Only