A time and resource efficient machine learning assisted design of non-fullerene small molecule acceptors for P3HT-based organic solar cells and green solvent selection
Organic molecules
DOI:
10.1039/d1ta04742f
Publication Date:
2021-06-23T12:21:34Z
AUTHORS (2)
ABSTRACT
A time and money efficient machine learning assisted design of non-fullerene small molecule acceptors for P3HT based organic solar cells is reported. Green solvents are also selected using predicted Hansen solubility parameters.
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