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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.

Recent advances in machine learning applications for MXene materials: Design, synthesis, characterization, and commercialization for energy and environmental applications

2025Next MaterialsJournalOpen access

10.1016/j.nxmate.2025.100864 Full text16 citations

Authors

6 authors across 6 institutions in 3 countries.

Sodiq Abiodun KareemFirst authorCorresponding
- Federal University of Technology (NG)
Makinde Akindeji Ibrahim
- Federal University of Technology (NG)
Justus Uchenna Anaele
- Federal University of Technology Owerri (NG)
Olajesu Favor Olanrewaju
- Federal University of Technology (NG)
Emmanuel Omosegunfunmi Aikulola
- Federal University of Technology (NG)
M.O. BodunrinSenior author
- University of the Witwatersrand (ZA)
as printed: Michael Oluwatosin Bodunrin

Fields

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

MXene and MAX Phase Materialslevel 3 · 1.00
Advanced Memory and Neural Computinglevel 3 · 1.00
2D Materials and Applicationslevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2025 · Next Materials · 16 citations
https://openalex.org/W4411637066

Recent advances in machine learning applications for MXene materials: Design, synthesis, characterization, and commercialization for energy and environmental applications · Sankore