QSPR modeling for the prediction of the triplet yield of singlet fission materials
Singlet excitons fission (SF) into triplet excitons can enhance the efficiency of solar cells while reducing the heat loss in light absorption systems, but requires photostable materials with high triplet yield. We use Support Vector Regression (SVR) to establish a Quantitative Structure-Property Re...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2023-03-01
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| Col·lecció: | Journal of Saudi Chemical Society |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S1319610323000182 |
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