研究目的
To investigate the influence of crystallization kinetics on the domain size in all-polymer solar cells and to propose a novel method to achieve optimal domain size with high crystallinity and suitable molecular orientation.
研究成果
The study demonstrates that sequential crystallization of donor and acceptor polymers can effectively reduce the domain size while maintaining high crystallinity and optimizing molecular orientation in all-polymer solar cells. This approach leads to improved photovoltaic performance, with the PCE increasing from 6.55% to 7.78%. The findings provide a novel strategy for tuning the heterojunction phase separation structures in polymer solar cells.
研究不足
The study focuses on a specific polymer blend system (PBDB-T/PNDI), and the findings may not be directly applicable to other polymer systems. Additionally, the optimization of domain size and crystallinity requires precise control over processing conditions, which may pose challenges for large-scale manufacturing.
1：Experimental Design and Method Selection:
The study systematically investigated the influence of crystallization kinetics on the domain size in all-polymer solar cells. The methodology involved regulating the crystallization kinetics of polymer blends to achieve sequential crystallization of donor and acceptor.
2：Sample Selection and Data Sources:
PBDB-T/PNDI blends were selected as the model system. The samples were processed under different conditions to study the effects of crystallization kinetics on morphology and device performance.
3：List of Experimental Equipment and Materials:
The study utilized GIWAXS, AFM, TEM, and GISAXS for characterization. The materials included PBDB-T, PNDI, and diphenyl ether (DPE) as an additive.
4：Experimental Procedures and Operational Workflow:
The film-forming process involved using CB as solvent with and without DPE additive, followed by solvent vapor annealing (SVA) with CF to regulate the crystallization kinetics.
5：Data Analysis Methods:
The crystallinity and phase separation structure were analyzed using GIWAXS, AFM, and TEM. The photovoltaic performance was evaluated through J-V curves and EQE spectra.
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