Current spray-coating approaches to manufacture perovskite solar cells

Alanazi, Tarek I.

doi:10.1016/j.rinp.2022.106144

Cited by 16 publications

(8 citation statements)

References 96 publications

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“…In addition, to break the professional barriers of different fields and further promote the discovery and design of materials, it is also necessary to establish an online access platform of descriptors corresponding to the database, which can make the professional people focus on doing the professional things to provide a greater possibility for the breakthrough of material properties. Taking perovskite thin film as an example [62][63][64][65][66], we encourage researchers to record more detailed process parameters for preparing high-quality thin films in manuscripts and construct a relevant database of process parameters. The key parameters affecting film quality could be selected by employing suitable feature selection methods based on the database.…”

Section: Discussionmentioning

confidence: 99%

“…Research has revealed that high-quality thin films are one of the crucial factors influencing the performance of PSCs. The methods to fabricate perovskite films include several techniques such as solution processing, vacuum deposition, physical vapor deposition, vapor-assisted solution processing, and scalable deposition [61][62][63][64][65][66]. Thin film properties such as grain size, morphology, crystallinity, defect density, and surface coverage may vary under different preparation methods, leading to differences in the quality of the thin film [61].…”

Section: Double Perovskitesmentioning

confidence: 99%

“…Thin film properties such as grain size, morphology, crystallinity, defect density, and surface coverage may vary under different preparation methods, leading to differences in the quality of the thin film [61]. Experiments have shown that various process parameters such as stoichiometry, thermal treatment, substrate temperature, solvent engineering, additives, and environmental control have a great influence on the quality of perovskite thin films [61][62][63][64][65][66].…”

Section: Double Perovskitesmentioning

confidence: 99%

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Feature Selection in Machine Learning for Perovskite Materials Design and Discovery

Wang

et al. 2023

Materials

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Perovskite materials have been one of the most important research objects in materials science due to their excellent photoelectric properties as well as correspondingly complex structures. Machine learning (ML) methods have been playing an important role in the design and discovery of perovskite materials, while feature selection as a dimensionality reduction method has occupied a crucial position in the ML workflow. In this review, we introduced the recent advances in the applications of feature selection in perovskite materials. First, the development tendency of publications about ML in perovskite materials was analyzed, and the ML workflow for materials was summarized. Then the commonly used feature selection methods were briefly introduced, and the applications of feature selection in inorganic perovskites, hybrid organic-inorganic perovskites (HOIPs), and double perovskites (DPs) were reviewed. Finally, we put forward some directions for the future development of feature selection in machine learning for perovskite material design.

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Section: Discussionmentioning

confidence: 99%

Section: Double Perovskitesmentioning

confidence: 99%

Section: Double Perovskitesmentioning

confidence: 99%

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Feature Selection in Machine Learning for Perovskite Materials Design and Discovery

Wang

et al. 2023

Materials

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“…Among the various photovoltaic technologies, perovskite solar cells are the fastest-growing and have achieved efficiencies close to the market-leading c-Silicon solar cells (≥25%). − Excellent material and electronic properties of perovskites like high absorption coefficient, large diffusion length, low exciton binding energy, easily tunable bandgap, etc. − and low cost fabrication − (solution, evaporation, spray deposition, etc.) have contributed to their broad appeal among the photovoltaics community.…”

Section: Intensity Scaling Dependent Lawsmentioning

confidence: 99%

Perovskite Solar Cells Dominated by Bimolecular Recombination─How Far Is the Radiative Limit?

Hossain,

Sivadas,

Kabra

et al. 2024

ACS Energy Lett.

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Here, we report an experimental demonstration of perovskite solar cells dominated by bimolecular recombination and critically analyze their performance against radiative limits. To this end, we first establish a set of quantitative benchmark characteristics expected from solar cells that are limited by bimolecular recombination. Transient as well as steady-state intensity dependent measurements indicate that our solar cells indeed operate at such limits with interface passivation comparable to that of the champion c-Si technology. Further, we identify characterization schemes that enable consistent back extraction of recombination parameters from transient optoelectrical and electroluminescence measurements. Remarkably, these parameters predict important features of dark current density vs voltage characteristics (J−V) and Suns-V OC measurements, thus validating the estimates and the methodology. Uniquely, this work provides a consistent and coherent interpretation of diverse experimental trends ranging from dark J−V, Suns-V OC , steady-state, and transient intensity dependent measurements to electroluminescence quantum yield. As such, insights shared in this manuscript could have significant implications toward fundamental electronic processes in perovskite solar cells and further efficiency optimization toward Shockley−Queisser limits.

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“…On the other hand, novel cost-efficient thin-film solar cells (TFSCs) have been developed to increase the PCE while maintaining reduced prices. Some of the most interesting candidates, in this regard, are CdTe, Cu(In, Ga)Se 2 (CIGS), polymers, and perovskite photoactive materials, which have been extensively studied thanks to their growing fabrication abilities and accelerated PCEs [13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Proposal and Design of Flexible All-Polymer/CIGS Tandem Solar Cell

Alanazi

Sabbagh

2023

Polymers

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Tandem solar cells (TSCs) have attracted prodigious attention for their high efficiency, which can surmount the Shockley–Queisser limit for single-junction solar cells. Flexible TSCs are lightweight and cost-effective, and are considered a promising approach for a wide range of applications. In this paper, a numerical model, based on TCAD simulation, is presented to assess the performance of a novel two-terminal (2T) all-polymer/CIGS TSC. To confirm the model, the obtained simulation results were compared with standalone fabricated all-polymer and CIGS single solar cells. Common properties of the polymer and CIGS complementary candidates are their non-toxicity and flexibility. The initial top all-polymer solar cell had a photoactive blend layer (PM7:PIDT), the optical bandgap of which was 1.76 eV, and the initial bottom cell had a photoactive CIGS layer, with a bandgap of 1.15 eV. The simulation was then carried out on the initially connected cells, revealing a power conversion efficiency (PCE) of 16.77%. Next, some optimization techniques were applied to enhance the tandem performance. Upon treating the band alignment, the PCE became 18.57%, while the optimization of polymer and CIGS thicknesses showed the best performance, reflected by a PCE of 22.73%. Moreover, it was found that the condition of current matching did not necessarily meet the maximum PCE condition, signifying the essential role of full optoelectronic simulations. All TCAD simulations were performed via an Atlas device simulator, where the light illumination was AM1.5G. The current study can offer design strategies and effective suggestions for flexible thin-film TSCs for potential applications in wearable electronics.

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Current spray-coating approaches to manufacture perovskite solar cells

Cited by 16 publications

References 96 publications

Feature Selection in Machine Learning for Perovskite Materials Design and Discovery

Feature Selection in Machine Learning for Perovskite Materials Design and Discovery

Perovskite Solar Cells Dominated by Bimolecular Recombination─How Far Is the Radiative Limit?

Proposal and Design of Flexible All-Polymer/CIGS Tandem Solar Cell

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