Strategy to Screen Donor and Acceptor Pairs for Organic Solar Cells Through Machine Learning

Sadhana Barman, Utpal Sarkar, Pratim Kumar Chattaraj

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DOI: 10.1002/cplu.70217
Published: 2026-08
Container: ChemPlusChem
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/cplu.70217,
  title = {Strategy to Screen Donor and Acceptor Pairs for Organic Solar Cells Through Machine Learning},
  author = {Sadhana Barman and Utpal Sarkar and Pratim Kumar Chattaraj},
  year = {2026},
  journal = {ChemPlusChem},
  doi = {10.1002/cplu.70217},
  url = {https://doi.org/10.1002/cplu.70217}
}

RIS

TY  - JOUR
TI  - Strategy to Screen Donor and Acceptor Pairs for Organic Solar Cells Through Machine Learning
AU  - Sadhana Barman
AU  - Utpal Sarkar
AU  - Pratim Kumar Chattaraj
PY  - 2026
JO  - ChemPlusChem
DO  - 10.1002/cplu.70217
UR  - https://doi.org/10.1002/cplu.70217
ER  -

APA

Barman, S., Sarkar, U., & Chattaraj, P. K. (2026). Strategy to Screen Donor and Acceptor Pairs for Organic Solar Cells Through Machine Learning. ChemPlusChem. https://doi.org/10.1002/cplu.70217

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crossref · retrieved 2026-09-25T16:21:55.743Z