Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Machine learning-assisted DFT-prediction of pristine and endohedral doped (O and Se) Ge12C12 and Si12C12 nanostructures as anode materials for lithium-ion batteries

2024Scientific ReportsJournalOpen access

10.1038/s41598-024-77150-x Full text6 citations

Authors

2 authors.

ThankGod C. EgemonyeFirst authorCorresponding
- University of Calabar (NG)
Tomsmith O. UnimukeSenior authorCorresponding
- University of Calabar (NG)

Fields

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

Advancements in Battery Materialslevel 3 · 1.00
Graphene research and applicationslevel 3 · 1.00
Semiconductor materials and interfaceslevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2024 · Scientific Reports · 6 citations
https://openalex.org/W4403933798

Machine learning-assisted DFT-prediction of pristine and endohedral doped (O and Se) Ge12C12 and Si12C12 nanostructures as anode materials for lithium-ion batteries · Sankore