Machine Learning Assisted Prediction of Power Conversion Efficiency of All-Small Molecule Organic Solar Cells: A Data Visualization and Statistical Analysis

Organic solar cells are famous for their cheap solution processing. Their industrialization needs fast designing of efficient materials. For this purpose, testing of large number of materials is necessary. Machine learning is a better option due to cheaper prediction of power conversion efficiencies...

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Detalles Bibliográficos
Autores principales: Alwadai, Norah, Khan, Salah Ud-Din, Elqahtani, Zainab Mufarreh, Ud-Din Khan, Shahab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502131/
https://www.ncbi.nlm.nih.gov/pubmed/36144642
http://dx.doi.org/10.3390/molecules27185905

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502131/
https://www.ncbi.nlm.nih.gov/pubmed/36144642
http://dx.doi.org/10.3390/molecules27185905

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