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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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An optimization-driven physics-informed neural network for variable-order fractal–fractional differential equations: application to the bloch model

2026International Journal of Dynamics and ControlJournal

10.1007/s40435-026-02090-5 Full text0 citations

Authors

4 authors across 4 institutions in 4 countries.

Ibrahim Onimisi IsahFirst author
- Kogi State University (NG)
N. SenuCorresponding
as printed: Norazak Senu
N.M.A. Nik Long
as printed: Nik Mohd Asri Nik Long
Ali AhmadianSenior authorCorresponding

Fields

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

Fractional Differential Equations Solutionslevel 3 · 0.56
Model Reduction and Neural Networkslevel 3 · 0.28
Numerical methods for differential equationslevel 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 · International Journal of Dynamics and Control · 0 citations
https://openalex.org/W7158603882

An optimization-driven physics-informed neural network for variable-order fractal–fractional differential equations: application to the bloch model · Sankore