Corrosion type identification in flanged joints using recurrent neural networks on electrochemical noise measurements.

Hakimian S, Bouzid AH, Hof LA

DOI: 10.1038/s41529-025-00638-y
Published: 2025
Container: Npj Materials degradation
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41529-025-00638-y,
  title = {Corrosion type identification in flanged joints using recurrent neural networks on electrochemical noise measurements.},
  author = {Hakimian S and Bouzid AH and Hof LA},
  year = {2025},
  journal = {Npj Materials degradation},
  doi = {10.1038/s41529-025-00638-y},
  url = {https://doi.org/10.1038/s41529-025-00638-y}
}

RIS

TY  - JOUR
TI  - Corrosion type identification in flanged joints using recurrent neural networks on electrochemical noise measurements.
AU  - Hakimian S
AU  - Bouzid AH
AU  - Hof LA
PY  - 2025
JO  - Npj Materials degradation
DO  - 10.1038/s41529-025-00638-y
UR  - https://doi.org/10.1038/s41529-025-00638-y
ER  -

APA

S, H., AH, B., & LA, H. (2025). Corrosion type identification in flanged joints using recurrent neural networks on electrochemical noise measurements.. Npj Materials degradation. https://doi.org/10.1038/s41529-025-00638-y

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pubmed · retrieved 2026-09-26T15:00:07.308Z