Data-driven performance prediction of polymer solar cells using multi-layer perceptron with Bayesian hyperparameter tuning

Sun Ping

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DOI: 10.1088/2053-1591/aeaacc
Published: 2026-09-29
Container: Materials Research Express
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/2053-1591/aeaacc,
  title = {Data-driven performance prediction of polymer solar cells using multi-layer perceptron with Bayesian hyperparameter tuning},
  author = {Sun Ping},
  year = {2026},
  journal = {Materials Research Express},
  doi = {10.1088/2053-1591/aeaacc},
  url = {https://doi.org/10.1088/2053-1591/aeaacc}
}

RIS

TY  - JOUR
TI  - Data-driven performance prediction of polymer solar cells using multi-layer perceptron with Bayesian hyperparameter tuning
AU  - Sun Ping
PY  - 2026
JO  - Materials Research Express
DO  - 10.1088/2053-1591/aeaacc
UR  - https://doi.org/10.1088/2053-1591/aeaacc
ER  -

APA

Ping, S. (2026). Data-driven performance prediction of polymer solar cells using multi-layer perceptron with Bayesian hyperparameter tuning. Materials Research Express. https://doi.org/10.1088/2053-1591/aeaacc

Source records

crossref · retrieved 2026-11-09T09:52:28.597Z