Nano-/Micro-structural Tailoring of Pb-based and Pb-free Multi-dimensional Halide Perovskites for Scalable, Efficient, and Stable Solar Cells
Nitin Padture a
a Brown University, Hope Street, 184, Providence, United States
International Conference on Hybrid and Organic Photovoltaics
Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV19)
Roma, Italy, 2020 May 12th - 14th
Organizers: Prashant Kamat, Filippo De Angelis and Aldo Di Carlo
Invited Speaker, Nitin Padture, presentation 029
DOI: https://doi.org/10.29363/nanoge.hopv.2020.029
Publication date: 6th February 2020

Thin-film perovskite solar cells (PSCs), where the record efficiency has rocketed from under 4% to near 24% in just nine years, offer unprecedented promise of low-cost, high-efficiency renewable electricity generation. Organic-inorganic halide perovskites (OIHPs) at the heart of PSCs have unique structures with desirable optical and electronic properties. To exploit these properties for PSCs application, the reliable deposition of high-quality OIHP thin films over large areas is critically important. The microstructures and grain-boundary networks in the resulting polycrystalline OIHP thin films are equally important as they control the PSC performance and stability. Fundamental phenomena pertaining to synthesis, crystallization, coarsening, microstructural evolution, and grain-boundary functionalization involved in the processing of OIHP thin films for PSCs will be discussed with specific examples. In addition, the discovery of three new Pb-free halide perovskites (3D Ti-based and Sn-Ge-based all-inorganic; and low-dimensional organic-inorganic), together with the demonstration of viable PSCs based on these new materials, will be presented. Furthermore, the unique ion-diffusion resistance and mechanical behavior of the latter halide perovskites will be discussed. The overall goal of our research is to have deterministic control over the scalable processing of tailored halide perovskite thin films with desired compositions, phases, dimensionalities, microstructures, and grain-boundary networks for scalable, efficient, and stable PSCs.

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