Explainable Machine Learning and Deep Learning Models for Understanding Operational and Degradation Effects in Nafion Membranes.

Zhang X, Galvez-Aranda DE, Pöschl R, Franco AA

Open source

DOI
10.1021/acsami.5c23903
Published
2026 May 6
Container
ACS applied materials & interfaces
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1021/acsami.5c23903,
  title = {Explainable Machine Learning and Deep Learning Models for Understanding Operational and Degradation Effects in Nafion Membranes.},
  author = {Zhang X and Galvez-Aranda DE and Pöschl R and Franco AA},
  year = {2026},
  journal = {ACS applied materials \& interfaces},
  doi = {10.1021/acsami.5c23903},
  url = {https://doi.org/10.1021/acsami.5c23903}
}

RIS

TY  - JOUR
TI  - Explainable Machine Learning and Deep Learning Models for Understanding Operational and Degradation Effects in Nafion Membranes.
AU  - Zhang X
AU  - Galvez-Aranda DE
AU  - Pöschl R
AU  - Franco AA
PY  - 2026
JO  - ACS applied materials & interfaces
DO  - 10.1021/acsami.5c23903
UR  - https://doi.org/10.1021/acsami.5c23903
ER  -

APA

X, Z., DE, G., R, P., & AA, F. (2026). Explainable Machine Learning and Deep Learning Models for Understanding Operational and Degradation Effects in Nafion Membranes.. ACS applied materials & interfaces. https://doi.org/10.1021/acsami.5c23903

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