研究目的
Investigating the effect of ternary mixing of organic A-site cations (guanidium, GA; formamidinium, FA; and phenylethylamine, PEA) on the solar cell performance and charge carrier dynamics in tin iodide perovskite solar cells.
研究成果
The ternary mixing of GA, FA, and PEA in Sn iodide perovskites significantly affects the solar cell performance, with the optimal composition (GA0.15FA0.85)0.9PEA0.1SnI3 achieving a maximum PCE of 7.90%. TRMC measurements revealed that electron mobility, influenced by the GA cation's location in the grains, plays a pivotal role in determining the PCE. This study provides insights into the role of mixed A-site cations and suggests directions for further development of Sn perovskite solar cells.
研究不足
The study is limited by the intrinsic instability of Sn2+ in Sn perovskites, which can oxidize to Sn4+, leading to electron trapping and shorting of the diode circuit. Additionally, the PCE values are still lower than those of lead-based perovskites, indicating room for improvement in material stability and device architecture.
1:Experimental Design and Method Selection:
The study involved the fabrication of (GAxFA1?x)
2:9PEA1SnI3 solar cells with varying GA content (x = 0?1) and their characterization using time-resolved microwave conductivity (TRMC) to evaluate charge carrier dynamics. Sample Selection and Data Sources:
The samples were prepared by spin-coating from dimethyl sulfoxide (DMSO) solutions containing SnF2 and Sn powder.
3:List of Experimental Equipment and Materials:
Equipment included TRMC setup, solar cell fabrication tools, and characterization instruments like XRD, AFM, and SEM. Materials included GA, FA, PEA, SnI3, SnF2, and DMSO.
4:Experimental Procedures and Operational Workflow:
The perovskite films were prepared by spin-coating followed by hot antisolvent treatment (HAT). TRMC measurements were performed on layered samples to probe charge carrier dynamics.
5:Data Analysis Methods:
The TRMC data were analyzed to deduce charge carrier mobilities and lifetimes, and the solar cell performance was evaluated based on JV curves and EQE spectra.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容