研究目的
Investigating the effects of organic cation on defect formation of CH3NH3PbI3 films prepared by an ultrasonically sprayed-nebulous method for optoelectronic and photovoltaic applications.
研究成果
The ultrasonically sprayed-nebulous method successfully produced CH3NH3PbI3 perovskite films with reduced defect states and improved optical properties. The optimal organic content led to a significant reduction in Urbach energy and enhanced photovoltaic performance, achieving a PCE of 10.09%. The method shows potential for scalable production of perovskite solar cells.
研究不足
The study focuses on the effects of organic cation content on defect formation and does not extensively explore the scalability of the method for industrial production or the long-term stability of the perovskite solar cells.
1:Experimental Design and Method Selection
The study employed an ultrasonic-sprayed nebulous deposition technique to prepare CH3NH3PbI3 perovskite films. The method involved sequential spraying of PbI2 and MAI aerosols onto FTO coated glass substrates under a controlled nitrogen environment.
2:Sample Selection and Data Sources
FTO coated glass substrates were used as the base for deposition. The substrates were cleaned and treated with oxygen plasma before deposition. The precursor solutions were prepared using PbI2 powder dissolved in DMF and MAI powder dissolved in anhydrous ethanol.
3:List of Experimental Equipment and Materials
Ultrasonic generator for aerosol generation, nitrogen gas as a carrier, FTO coated glass substrates, PbI2 and MAI powders, DMF and anhydrous ethanol as solvents, UV–Vis spectrometer, X-ray diffractometer, scanning electron microscopy, surface photovoltage spectroscopy setup.
4:Experimental Procedures and Operational Workflow
1. Cleaning and plasma treatment of FTO substrates. 2. Preparation of PbI2 and MAI precursor solutions. 3. Sequential spraying of PbI2 and MAI aerosols onto the substrate. 4. Annealing of the perovskite films. 5. Characterization using XRD, SEM, UV–Vis spectroscopy, and SPV spectroscopy.
5:Data Analysis Methods
XRD data analysis for structural properties, UV–Vis spectroscopy for optical properties, SEM for surface morphology, and SPV spectroscopy for charge separation and transport behavior.
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