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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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Machine learning approaches for optimizing and predicting thin-film nanocomposite membrane properties: A scoping review

2026Micro and NanostructuresJournalOpen access

10.1016/j.micrna.2026.208667 Full text0 citations

Authors

2 authors across 4 institutions in 3 countries.

M. A. AjalaFirst author
- University of Ilorin (NG)
as printed: Mary Adejoke Ajala
Stanley Ebhohimhen AbhadiomhenSenior authorCorresponding
- University of Nigeria (NG)

Fields

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

Machine Learning in Materials Sciencelevel 3 · 0.20
Advanced Sensor and Energy Harvesting Materialslevel 3 · 0.08
Nanopore and Nanochannel Transport Studieslevel 3 · 0.06

Sources

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

openalexseen September 9, 2026
2026 · Micro and Nanostructures · 0 citations
https://openalex.org/W7140271713

Machine learning approaches for optimizing and predicting thin-film nanocomposite membrane properties: A scoping review · Sankore