From SEM morphology to PEC behavior: machine-learning identification of a UV–Vis spectral descriptor for BiVO4 photoanodes

Hazuki Ayabe, Kenji Katayama

Open source

DOI: 10.1007/s44211-026-00981-3
Published: 2026-10-27
Container: Analytical Sciences
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s44211-026-00981-3,
  title = {From SEM morphology to PEC behavior: machine-learning identification of a UV–Vis spectral descriptor for BiVO4 photoanodes},
  author = {Hazuki Ayabe and Kenji Katayama},
  year = {2026},
  journal = {Analytical Sciences},
  doi = {10.1007/s44211-026-00981-3},
  url = {https://doi.org/10.1007/s44211-026-00981-3}
}

RIS

TY  - JOUR
TI  - From SEM morphology to PEC behavior: machine-learning identification of a UV–Vis spectral descriptor for BiVO4 photoanodes
AU  - Hazuki Ayabe
AU  - Kenji Katayama
PY  - 2026
JO  - Analytical Sciences
DO  - 10.1007/s44211-026-00981-3
UR  - https://doi.org/10.1007/s44211-026-00981-3
ER  -

APA

Ayabe, H., & Katayama, K. (2026). From SEM morphology to PEC behavior: machine-learning identification of a UV–Vis spectral descriptor for BiVO4 photoanodes. Analytical Sciences. https://doi.org/10.1007/s44211-026-00981-3

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crossref · retrieved 2026-11-10T10:15:53.341Z