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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.

Integrating machine learning and numerical modeling to predict bandgap and crystallite size of doped NiO for enhanced perovskite solar cells performance

2025Physica B Condensed MatterJournal

10.1016/j.physb.2025.418220 Full text0 citations

Authors

6 authors across 4 institutions in 2 countries.

Adil AlshoaibiFirst author
Abdullahi UsmanCorresponding
- Federal University Birnin Kebbi (NG)
E. Danladi
- Benue State University (NG)
as printed: Eli Danladi
Chawki Awada
Shumaila Islam
F.I. EzemaSenior author
- University of Nigeria (NG)
as printed: Fabian I. Ezema

Fields

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

Perovskite Materials and Applicationslevel 3 · 0.99
Heusler alloys: electronic and magnetic propertieslevel 3 · 0.00
Machine Learning in Materials Sciencelevel 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
2025 · Physica B Condensed Matter · 0 citations
https://openalex.org/W7117530397

Integrating machine learning and numerical modeling to predict bandgap and crystallite size of doped NiO for enhanced perovskite solar cells performance · Sankore