Accurate prediction of green hydrogen production based on solid oxide electrolysis cell via soft computing algorithms

Raouf Hassan, Mohammad Reza Kazemi

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DOI: 10.1038/s41598-025-19316-9
Published: 10
Container: Scientific Reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-19316-9,
  title = {Accurate prediction of green hydrogen production based on solid oxide electrolysis cell via soft computing algorithms},
  author = {Raouf Hassan and Mohammad Reza Kazemi},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-19316-9},
  url = {https://doi.org/10.1038/s41598-025-19316-9}
}

RIS

TY  - JOUR
TI  - Accurate prediction of green hydrogen production based on solid oxide electrolysis cell via soft computing algorithms
AU  - Raouf Hassan
AU  - Mohammad Reza Kazemi
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-19316-9
UR  - https://doi.org/10.1038/s41598-025-19316-9
ER  -

APA

Hassan, R., & Kazemi, M. R. (2025). Accurate prediction of green hydrogen production based on solid oxide electrolysis cell via soft computing algorithms. Scientific Reports. https://doi.org/10.1038/s41598-025-19316-9

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doaj · retrieved 2026-11-10T13:22:30.734Z