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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.

Modeling the magnetic cooling efficiency of spinel ferrite magnetocaloric compounds for magnetic refrigeration application using hybrid intelligent computational methods

2022Materials Today CommunicationsJournal

10.1016/j.mtcomm.2022.104310 Full text19 citations

Authors

6 authors across 2 institutions in 2 countries.

Abdullah AlqahtaniFirst author
Saibu Saliu
- Adekunle Ajasin University (NG)
T.O. OwolabiCorresponding
- Adekunle Ajasin University (NG)
as printed: Taoreed O. Owolabi
Nahier Aldhafferi
Abdullah Almurayh
Oluwatoba Emmanuel OyeneyinSenior author
- Adekunle Ajasin University (NG)

Fields

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

Machine Learning and ELMlevel 3 · 1.00
Magnetic and transport properties of perovskites and related materialslevel 3 · 0.97
Multiferroics and related materialslevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2022 · Materials Today Communications · 19 citations
https://openalex.org/W4293491510

Modeling the magnetic cooling efficiency of spinel ferrite magnetocaloric compounds for magnetic refrigeration application using hybrid intelligent computational methods · Sankore