Abstract

Abstract Optimizing the molecular structures of organic photovoltaic (OPV) materials is one of the most effective methods to boost power conversion efficiencies (PCEs). For an excellent molecular system with a certain conjugated skeleton, fine tuning the alky chains is of considerable significance to fully explore its photovoltaic potential. In this work, the optimization of alkyl chains is performed on a chlorinated nonfullerene acceptor (NFA) named BTP‐4Cl‐BO (a Y6 derivative) and very impressive photovoltaic parameters in OPV cells are obtained. To get more ordered intermolecular packing, the n ‐undecyl is shortened at the edge of BTP‐eC11 to n ‐nonyl and n ‐heptyl. As a result, the NFAs of BTP‐eC9 and BTP‐eC7 are synthesized. The BTP‐eC7 shows relatively poor solubility and thus limits its application in device fabrication. Fortunately, the BTP‐eC9 possesses good solubility and, at the same time, enhanced electron transport property than BTP‐eC11. Significantly, due to the simultaneously enhanced short‐circuit current density and fill factor, the BTP‐eC9‐based single‐junction OPV cells record a maximum PCE of 17.8% and get a certified value of 17.3%. These results demonstrate that minimizing the alkyl chains to get suitable solubility and enhanced intermolecular packing has a great potential in further improving its photovoltaic performance.

Keywords

Materials sciencePhotovoltaic systemOrganic solar cellNanotechnologyOptoelectronicsEngineering physicsComposite materialElectrical engineeringPolymer

Affiliated Institutions

Related Publications

Publication Info

Year
2020
Type
article
Volume
32
Issue
19
Pages
e1908205-e1908205
Citations
1827
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1827
OpenAlex

Cite This

Yong Cui, Huifeng Yao, Jianqi Zhang et al. (2020). Single‐Junction Organic Photovoltaic Cells with Approaching 18% Efficiency. Advanced Materials , 32 (19) , e1908205-e1908205. https://doi.org/10.1002/adma.201908205

Identifiers

DOI
10.1002/adma.201908205