Solvent engineering towards scalable fabrication of high-quality perovskite films for efficient solar modules

Jiang, Zhaoyi; Wang, Binkai; Zhang, Wenjun; Yang, Zhichun; Li, Mengjie; Ren, Fumeng; Imran, Tahir; Sun, Zhenxing; Zhang, Shasha; Zhang, Yiqiang; Zhao, Zhiguo; Liu, Zonghao; Chen, Wei

doi:10.1016/j.jechem.2023.02.017

Cited by 27 publications

(12 citation statements)

References 159 publications

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“…The solvent molecules are effective to improve the perovskite film morphology and quality. , For example, the solvents can influence the intermediate phase, leading to improved morphology after evaporation. On the other hand, the solvents molecules may form a protecting layer that stabilize the halide perovskite film; meanwhile, they can adsorb onto the under-coordinated chemical species at surfaces and grain boundaries, thereby reducing the defects, eliminating the charge traps and passivating the perovskite film .…”

Section: Resultsmentioning

confidence: 99%

Accelerated Multisolvent Prediction for Aqueous Stable Halide Perovskite Materials

Huang,

Li,

Zhang

2023

ACS Appl. Mater. Interfaces

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Solvent treatment is critical to improving the stability of halide perovskite materials that suffer from notorious issues that inhibit their industrial deployment; however, the complicated perovskite virtual design space with different types of solvent modifiers is inaccessible to traditional trial-and-error methods. In this study, machine learning is employed to predict stable multiple solvent-modified perovskite films under hostile conditions, and a complicated quinary solvent system "DMSO + DMF + toluene + NMP + GBL" is effectively identified to significantly improve the optoelectronic stability of CH 3 NH 3 PbI 3 in water. The "combinatorial solvent design" approach is realized by an extra tree machine learning model, which leads to a prediction dataset containing aqueous stability labels of 6720 new quinary solvent/perovskite systems. Importantly, the accuracy of the machine learning model is verified via photoelectrochemical experiments, achieving an experimental accuracy of 80%. A machine learning-predicted quinary solvent system offers significantly enhanced aqueous stability and 1000 times larger aqueous photocurrents, compared with the control CH 3 NH 3 PbI 3 film under the same hostile conditions. This study demonstrates the efficacy of machine learning for solvent design toward stable halide perovskite materials under hostile conditions.

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Section: Resultsmentioning

confidence: 99%

Accelerated Multisolvent Prediction for Aqueous Stable Halide Perovskite Materials

Huang,

Li,

Zhang

2023

ACS Appl. Mater. Interfaces

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“…The rational selection of solvents is the crucial step in preparing the FACs-based perovskite ink [52]. The solvent can dissolve the perovskite precursor and determines the colloidal distribution of the solution [53,54].…”

Section: Solventsmentioning

confidence: 99%

Ink engineering for slot-die coated perovskite solar cells and minimodules

Zhang

2023

J. Phys. Energy

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The power conversion efficiencies (PCEs) of perovskite solar cells (PSCs) have approached 26% for single-junction and 33% for multi-junction cells. Thus, various scalable depositions are studied to improve the manufacturability of PSCs for market entry. Of all types, slot-die coating is a promising technique thanks to its excellent compatibility with versatile systems. However, the complicated ink chemistry and film formation are major obstacles to scaling up devices. In this review, we systematically discuss ink engineering in the fabrication of slot-die-coated PSCs and perovskite minimodules (PMs), covering all functional layers that are processed using solution-based means. We then summarize a range of strategies to improve ink compatibility with slot-die coating, focusing on how to optimize the ink formulation to achieve high-quality films. Finally, we highlight the existing challenges and potential avenues for further development of slot-die-coated devices.

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“…The deposition step is examined by a one-factor-at-a-time approach, with the establishment of a set of standard parameters followed by the variation and analysis of each parameter effect individually. Then, the gas quenching-assisted evaporation is thoroughly studied by a full factorial analysis of three variables that influence the evaporation rate of the solvent: gas (nitrogen, N 2 ) pressure, distance between nitrogen gun and substrate, and solvent volatility, or the ratio between a low volatile and a high volatile solvent, which is often a considered factor for controlling the quality of crystalline perovskite films. − The produced films are then characterized regarding their morphology and performance as the active layer of a solar cell.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Fabrication of Perovskite Solar Cells by Ultrasonic Spray Coating: A Design of Experiments Approach

Silvano

Hamtaei

Verding

et al. 2023

ACS Appl. Energy Mater.

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The incrementally rising efficiency of perovskite-based photovoltaic devices has established technology as a hot topic in past years. Transitioning this class of materials from laboratorial to commercial application is key to the future of clean energy generation. In the interest of this transition, scalable fabrication and reproducibility are challenges to be overcome. Additionally, being a highly dynamic field with fast-paced innovation, perovskite research lacks in structured comprehensive studies focusing on the processing parameters, especially when compared to commercial technologies, such as silicon-based devices. This study proposes a design of experiments (DoE) approach to analyze and optimize the fabrication of perovskite thin films by ultrasonic spray coating, a scalable technique. The investigation of deposition parameters one factor at a time (OFAT) and the more in-depth full factorial analysis of three key input variables allowed the assessment of the impact level of each factor on the quality and performance of the obtained films of the fabricated photovoltaic devices. Furthermore, the full factorial analysis reveals the presence of interactions between factors. The study revealed that a shorter distance between the air gun and the sample (2 cm) coupled with high gas pressure (7.6 bar) during the quenching step were the most influential parameters for the production of high-quality films, leading to an average efficiency of 14.8%.

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Solvent engineering towards scalable fabrication of high-quality perovskite films for efficient solar modules

Cited by 27 publications

References 159 publications

Accelerated Multisolvent Prediction for Aqueous Stable Halide Perovskite Materials

Accelerated Multisolvent Prediction for Aqueous Stable Halide Perovskite Materials

Ink engineering for slot-die coated perovskite solar cells and minimodules

Investigating the Fabrication of Perovskite Solar Cells by Ultrasonic Spray Coating: A Design of Experiments Approach

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