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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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A comparative study of explainable ensemble learning and neural network models for predicting the bandgap and heat of formation of A2BB’X6 double perovskites

2026Materials Today CommunicationsJournalOpen access

10.1016/j.mtcomm.2026.115628 Full text0 citations

Authors

8 authors across 6 institutions in 5 countries.

Shittu B. AkinpeluFirst author
Simeon A. Abolade
Emmanuel Okafor
David O. Obada
- University of KwaZulu-Natal (ZA)
- Ahmadu Bello University (NG)
Syam Kumar R
as printed: Syam R. Kumar
Aniekan M. Ukpong
- National Institute for Theoretical Physics (ZA)
- University of KwaZulu-Natal (ZA)
as printed: Magnus A. Ukpong
John Healy
Akinlolu AkandeSenior authorCorresponding

Fields

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

Machine Learning in Materials Sciencelevel 3 · 0.84
Perovskite Materials and Applicationslevel 3 · 0.05
Advanced Thermoelectric Materials and Deviceslevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2026 · Materials Today Communications · 0 citations
https://openalex.org/W7166029172

A comparative study of explainable ensemble learning and neural network models for predicting the bandgap and heat of formation of A2BB’X6 double perovskites · Sankore