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                                       Details for article 9 of 13 found articles
 
 
  Interpretable machine-learning for predicting power conversion efficiency of non-halogenated green solvent-processed organic solar cells based on Hansen solubility parameters and molecular weights of polymers
 
 
Title: Interpretable machine-learning for predicting power conversion efficiency of non-halogenated green solvent-processed organic solar cells based on Hansen solubility parameters and molecular weights of polymers
Author: Lee, Min-Hsuan
Appeared in: Solar energy
Paging: Volume 261 () nr. C pages 7-13
Year: 2023
Contents:
Publisher: International Solar Energy Society
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 9 of 13 found articles
 
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