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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Hybrid machine learning and computational fluid dynamics framework for optimizing supercritical CO₂ pipeline networks in large-scale carbon capture and storage

2026European Journal of Sustainable Development ResearchJournalOpen access

10.29333/ejosdr/17977 Full text0 citations

Authors

5 authors across 4 institutions in 4 countries.

Abiola Samuel AjayiFirst authorCorresponding
Ayoola David Bodude
Shokenu Emmanuel Segun
- African Institute of Science and Technology (NG)
Eniola Isaac Ajayi
Dawudu Ibrahim ShanzhiSenior author
- African Institute of Science and Technology (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Carbon Dioxide Capture Technologieslevel 3 · 0.90
Integrated Energy Systems Optimizationlevel 3 · 0.06
CO2 Sequestration and Geologic Interactionslevel 3 · 0.01

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · European Journal of Sustainable Development Research · 0 citations
https://openalex.org/W7131419728

Hybrid machine learning and computational fluid dynamics framework for optimizing supercritical CO₂ pipeline networks in large-scale carbon capture and storage · Sankore