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
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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