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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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Predicting the thermal conductivity of Bi2Te3-based thermoelectric energy materials: A machine learning approach

2022International Journal of Thermal SciencesJournal

10.1016/j.ijthermalsci.2022.107784 Full text45 citations

Authors

6 authors across 4 institutions in 3 countries.

Tahani A. AlrebdiFirst author
as printed: T.A. Alrebdi
Y.S. WudilCorresponding
U.F. Ahmad
- Bayero University Kano (NG)
F.A. Yakasai
J. Mohammed
F.H. KallasSenior author

Fields

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

Advanced Thermoelectric Materials and Deviceslevel 3 · 1.00
Thermal properties of materialslevel 3 · 1.00
Machine Learning in Materials Sciencelevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2022 · International Journal of Thermal Sciences · 45 citations
https://openalex.org/W4285040354

Predicting the thermal conductivity of Bi2Te3-based thermoelectric energy materials: A machine learning approach · Sankore