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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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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Physics-Informed Machine Learning for Compressible Nozzle Flow Simulation: A Review of Advances and Research Opportunities

2026International Journal of Engineering and Advanced Technology StudiesJournalOpen access

10.37745/ijeats.13/vol14n27589 Full text0 citations

Authors

10 authors across 2 institutions in 2 countries.

Ikpaya David IkpayaFirst author
Mallum Idris Mambula
Usman Abdulrahman Sunday
Abdulsalam Anave Sidiqat
Adam Muhammed Danjuma
Hassan Yahaya
- National Space Research and Development Agency (NG)
as printed: Yahaya Hassan
Ibrahim Abass
Ibrahim Abdullahi
Ahiaba Amaga William
Baslem OkohieSenior author
- National Space Research and Development Agency (NG)

Fields

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

Model Reduction and Neural Networkslevel 3 · 0.94
Computational Fluid Dynamics and Aerodynamicslevel 3 · 0.04
Aerodynamics and Acoustics in Jet Flowslevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Engineering and Advanced Technology Studies · 0 citations
https://openalex.org/W7164144076

Physics-Informed Machine Learning for Compressible Nozzle Flow Simulation: A Review of Advances and Research Opportunities · Sankore