一种新型铷基卤化铅钙钛矿材料的合成、表征和密度泛函理论计算研究

Swastik Paul , Shibsankar Mondal , Souhardya Bera , Ankit Saha , Ridipt Mishra, Arkadip Majumder, Milan Kumar Mandal, Subhasis Roy
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引用次数: 1

摘要

无机卤化铅钙钛矿因其在光伏中的有效应用而成为有利的新型材料。通过简单的湿化学技术合成这种材料的路线使这些无机卤化物钙钛矿成为光收集材料的理想性质。尽管有这些新的特性,但在增加热量和环境湿度的条件下,固有的不稳定性质仍然是一个需要解决的猜测。这项工作显示了湿化学方法作为一种新型RbPbCl3钙钛矿的合成路线,使用四种不同的溶剂用于光伏应用。有趣的是,合成的钙钛矿仅在一种溶剂中稳定,带隙为2.6 eV,而材料在其他三种中降解。几何优化后进行的DFT计算揭示了明确的电子带隙和光学性质,几乎模仿了我们合成的钙钛矿的实验数据。丰富的电子、光学和形成能等特性表明,钙钛矿具有巨大的电荷屏蔽能力、低的电子-空穴对复合率、板吸收光谱和高稳定性。从此,确立了其对光伏器件的适用性。实验结果与我们的理论趋势非常吻合,这表明了开发一种计算策略来筛选用于光伏电池的新型钙钛矿材料的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Synthesis, characterization, and density functional theory calculation studies of a novel Rb-based lead halide perovskite material

Inorganic lead halide perovskites have appeared as favorable and novel materials for their effective use in photovoltaics. The synthesis route of such materials via the simple wet chemistry technique renders these inorganic halide perovskites the ideal property for light-harvesting materials. Despite these novel properties, the inherently unstable nature under increased heat and ambient moisture conditions is still a conjecture that needs to be addressed. This work shows the wet chemistry method as a synthesis route of the novel RbPbCl3 perovskite using four different solvents for photovoltaic applications. Interestingly, the synthesized perovskite was stable in only one solvent with a band gap of 2.6 eV, whereas the material degraded in the other three. The DFT calculations performed post-geometric optimization revealed well-defined electronic bandgap and optical properties, nearly imitating the experimental data of our synthesized perovskite. The copious properties such as electronic, optical, and formation energy revealed that the perovskite possesses huge charge screening ability, a low recombination rate of electron-hole pairs, board absorption spectrum, and high stability. Henceforth, establishes its suitability for photovoltaic devices. The close fit of the experimental results with our theoretical trend demonstrates the importance of developing a computational strategy to screen for new perovskite materials for photovoltaic cells.

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