Physics-informed neural networks with caputo-fabrizio derivatives for nonlinear fractal-fractional delay equations and chaotic systems.

Khan H, Sulaiman M, Laouini G, Rahman IU, Salman MA

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DOI: 10.1038/s41598-026-55199-0
Published: 2026 Jun 10
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-55199-0,
  title = {Physics-informed neural networks with caputo-fabrizio derivatives for nonlinear fractal-fractional delay equations and chaotic systems.},
  author = {Khan H and Sulaiman M and Laouini G and Rahman IU and Salman MA},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-55199-0},
  url = {https://doi.org/10.1038/s41598-026-55199-0}
}

RIS

TY  - JOUR
TI  - Physics-informed neural networks with caputo-fabrizio derivatives for nonlinear fractal-fractional delay equations and chaotic systems.
AU  - Khan H
AU  - Sulaiman M
AU  - Laouini G
AU  - Rahman IU
AU  - Salman MA
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-55199-0
UR  - https://doi.org/10.1038/s41598-026-55199-0
ER  -

APA

H, K., M, S., G, L., IU, R., & MA, S. (2026). Physics-informed neural networks with caputo-fabrizio derivatives for nonlinear fractal-fractional delay equations and chaotic systems.. Scientific reports. https://doi.org/10.1038/s41598-026-55199-0

Source records

pubmed · retrieved 2026-11-10T13:06:44.395Z
europe-pmc · retrieved 2026-11-10T13:06:44.401Z
doaj · retrieved 2026-11-10T13:06:44.383Z