研究目的
To investigate the photovoltaic performance of dye-sensitized solar cells (DSSCs) utilizing 9,9'-bianthracene-based dyes as co-sensitizers and to understand the modification behavior of these co-sensitizers on the surface of the TiO2 photoanode.
研究成果
The study demonstrated that the molecular size matching between the co-sensitizer and the leading dye and the difference in adsorption capacity are crucial factors in controlling the overall device performance of DSSCs. The unique cross structure of the co-sensitizers effectively suppressed π–π stacking, leading to high photovoltage but lower photocurrent due to reduced conjugation.
研究不足
The study found that the addition of LD2 did not significantly improve the performance of MK–3-based devices, possibly due to the mismatch of molecular sizes and the fact that bulky dyes are not dominant in competitive adsorption. The influence of loading amount on performance could not be accurately evaluated.
1：Experimental Design and Method Selection:
The study involved the synthesis of two metal-free organic co-sensitizers (LD1 and LD2) with a twisted structure and their co-sensitization with the leading dye MK–3. The photophysical, electrochemical, and photovoltaic properties were investigated.
2：The photophysical, electrochemical, and photovoltaic properties were investigated.
Sample Selection and Data Sources:
2. Sample Selection and Data Sources: The dyes were synthesized and characterized using UV–vis absorption spectra, cyclic voltammetry, and density functional theory (DFT) calculations.
3：List of Experimental Equipment and Materials:
TiO2 photoanodes, CH2Cl2 as dipping solvent, N,N-dimethylformamide (DMF) for cyclic voltammetry measurements, and tetrabutylammonium hexafluorophosphate (TBAPF6) as electrolyte.
4：Experimental Procedures and Operational Workflow:
The dyes were adsorbed on TiO2 photoanodes, and DSSCs were assembled with a Pt counter electrode. The photovoltaic performance was evaluated under AM 1.5 G irradiation.
5：5 G irradiation.
Data Analysis Methods:
5. Data Analysis Methods: The data were analyzed using Gaussian 09 program suite for DFT calculations, and photovoltaic parameters were derived from J–V curves and IPCE measurements.
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