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Data-driven approach towards identifying dyesensitizer molecules for higher power conversion efficiency in solar cells
- Source :
- New Journal of Chemistry. 46:4395-4405
- Publication Year :
- 2022
- Publisher :
- Royal Society of Chemistry (RSC), 2022.
-
Abstract
- Machine learning (ML) research based on the quantitative structure–property relationship (QSPR) has been applied for the development of highly efficient dye-sensitized solar cells (DSSCs).
- Subjects :
- Materials Chemistry
General Chemistry
Catalysis
Subjects
Details
- ISSN :
- 13699261 and 11440546
- Volume :
- 46
- Database :
- OpenAIRE
- Journal :
- New Journal of Chemistry
- Accession number :
- edsair.doi...........77bea2cb588e7603663b7618e9fe1a79