Suppressing charge recombination in small-molecule ternary organic solar cells by modulating donor–acceptor interfacial arrangements
Literature Information
Guangchao Han, Lingyun Zhu
The ternary blending strategy has been a widely used method to achieve high performance in organic photovoltaics. However, the impact of the third component on the donor–acceptor interface geometries is still unclear, especially with regard to the microscopic structures in the mixed regions. In this study, we have investigated the donor–acceptor molecular packing structures in the mixed region as well as the exciton dissociation and charge recombination properties in all-small-molecule ternary solar cells based on the new DR3TBDTT:DR3TBDTT-E:PC71BM system by means of molecular dynamics simulations combined with electronic-structure calculations. The simulated results reveal that the incorporation of 10% DR3TBDTT-E in the ternary blend can lead to a decrease in the probability of finding PC71BM close to the central electron-donating benzodithiophene moiety, and thus this can reduce the binding energy of the lowest charge-transfer state and the electronic coupling of charge recombination. However, with a further increase of the doping ratio, PC71BM aggregation becomes weak, which is harmful to electron transport. Therefore, superior performance can be only obtained with a proper amount of the third component for ternary blend solar cells.
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.



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