Large-area perovskite films for PV applications: A perspective from nucleation and crystallization

Yang, Yajun; Xue, Zexu; Чэн, Лонг; Lau, Cho Fai Jonathan; Wang, Zhiping

doi:10.1016/j.jechem.2020.12.001

Cited by 15 publications

(10 citation statements)

References 97 publications

(153 reference statements)

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“…The majority of fabrication methods and corresponding processing conditions are common for both indoor and AM1.5G illuminated PPV and OPV devices. Discussions on upscaling techniques have already been extensively reported by several noteworthy literature reviews [ 121–129 ] focusing on similar perovskite devices that are exposed to AM1.5G illumination. These processes are divided into wet‐ and vacuum processing techniques.…”

Section: Critical Parameters Under Low Light Environmentmentioning

confidence: 99%

“…[ 150 ] It has also been proven that additives to precursor ink reduce the defect density of the final perovskite layer, while adding surfactants would increase nucleation sites in addition to an enhanced surface coverage. [ 121 ] This advancement will further pinpoint the suitability of blade coating for industrial scale production.…”

Section: Critical Parameters Under Low Light Environmentmentioning

confidence: 99%

“…Moreover, surfactants, when added at a ppm level, affect the rheology of the precursor in the microscale and can further retard evaporation rate, just as in the case of blade coated MAPbI 3 . [ 121 ] For slot die‐ and blade coating, solvent evaporation rate of the deposited inks can be controlled either by heating the substrates even up to the boiling point of the solvent used, or by exerting an air flow through an air knife over the surface during the coating procedure. [ 125 ]…”

Section: Critical Parameters Under Low Light Environmentmentioning

confidence: 99%

“…Therefore, bathing of the deposited wet film is preferred for large areas. [ 121 ] Spray coating of the antisolvent has been also suggested. However, this technique perplexes things since the distribution of the antisolvent, as well as, inhomogeneous pressure of the carrier gas differentiate crystallization across the surface of the wet precursor film.…”

Section: Critical Parameters Under Low Light Environmentmentioning

confidence: 99%

See 3 more Smart Citations

Indoor Perovskite Photovoltaics for the Internet of Things—Challenges and Opportunities toward Market Uptake

Polyzoidis

Rogdakis

Kymakis

2021

Advanced Energy Materials

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The high‐power conversion efficiency of flexible perovskite photovoltaics (PPV) at low light environment and their low‐cost manufacturing processes, render PPV superior to conventional rigid photovoltaics targeting indoor applications. However, various parameters related to materials, architecture, processing, and indoor characterization need to be optimized further toward improving indoor PPV (iPPV) efficiency, stability, and ecotoxicity. This work provides an overview of the recent progress, trends, and challenges in the field and suggests a holistic approach toward a viable design and integration of iPPVs into Internet of Things (IoT) platforms without any compromise on safety and cost effectiveness. The key impact of selecting proper materials and fabrication techniques, as well as optimizing the active area and architecture is described. Certain peculiarities of the indoor lighting conditions are discussed that can be addressed by proper simulation tools, including the understanding of the charge‐transfer mechanism, the diversification of the lamp types, as well as identifying the requirements for the production, standardization, and installation of iPPVs associated with IoT devices. A multidimensional engineering approach that considers aspects of architecture, light technology, load specifications, materials, processing, safety and cost, is proposed as a path toward accelerating iPPV market uptake for households, businesses, wearables and Industry 4.0 applications.

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Section: Critical Parameters Under Low Light Environmentmentioning

confidence: 99%

Section: Critical Parameters Under Low Light Environmentmentioning

confidence: 99%

Section: Critical Parameters Under Low Light Environmentmentioning

confidence: 99%

Section: Critical Parameters Under Low Light Environmentmentioning

confidence: 99%

See 2 more Smart Citations

Indoor Perovskite Photovoltaics for the Internet of Things—Challenges and Opportunities toward Market Uptake

Polyzoidis

Rogdakis

Kymakis

2021

Advanced Energy Materials

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“…This technique is widely used in the optoelectronic/semiconductor industry for being compatible with large area and high throughput, granting high purity and uniformity to the deposited films. [9,[12][13][14][15][16][17] It also allows for the in situ monitoring of the deposition rate using quartz crystal microbalances (QCM), which is important when two precursors are cosublimed and to enable precise thickness control. [12,18] Many research groups have reported on vacuum-deposited perovskites, showing that efficient fully evaporated solar cells are readily achievable.…”

mentioning

confidence: 99%

Photovoltaic Devices Using Sublimed Methylammonium Lead Iodide Perovskites: Long‐Term Reproducible Processing

et al. 2023

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Perovskite solar cells (PSCs) are viable sources of efficient and affordable energy that has attracted much interest since their onset in 2009 due to rapidly increasing device power conversion efficiencies (PCEs, currently above 25.6% already). [1] Highquality (poly-)crystalline perovskite films have a combination of desirable properties, mainly high absorption coefficient, high ambipolar charge mobility, and long charge carrier diffusion length. [2] These properties are directly related to the film morphology, stoichiometry, and density of defects in the bulk or at the surface. Hence, to ensure reproducible preparation of PSCs, it is crucial that the perovskite growth during deposition is controllable in a repeatable way independent of batchto-batch purity variations of the precursor salts used. A stable reproducible baseline cell performance is crucial to advance the technology and further optimize the efficiency and stability. Numerous deposition processes are investigated, from solvent-based techniques such as spin coating, blade coating, and solvent engineering to vacuum-based methods, such as thermal vacuum deposition or close space sublimation or even hybrid sequential depositions. [2][3][4][5][6][7][8][9][10][11] Physical vapor deposition (PVD) is a very versatile technique that can be used to grow films of many classes of materials, such as metallic, semiconducting, and insulating films for use in photovoltaics and light-emitting devices, as well as resistors, transparent conductive oxides, corrosion resistant coatings, magnetic films, among many others. This technique is widely used in the optoelectronic/semiconductor industry for being compatible with large area and high throughput, granting high purity and uniformity to the deposited films. [9,[12][13][14][15][16][17] It also allows for the in situ monitoring of the deposition rate using quartz crystal microbalances (QCM), which is important when two precursors are cosublimed and to enable precise thickness control. [12,18] Many research groups have reported on vacuum-deposited perovskites, showing that efficient fully evaporated solar cells are readily achievable. Different perovskite compositions have been prepared ranging from the archetypal MAPbI 3 , requiring the coevaporation of PbI 2 and CH 3 NH 3 I (methylammonium iodide, MAI) in only two sources, [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] to more complex multication multihalide structures that require the coevaporation from three or more precursors. [36][37][38][39][40][41][42][43] There are many examples in the literature of coevaporated MAI-based PSCs with PCEs exceeding 20%. [22,25,[43][44][45][46] However, despite these successful demonstrations, the sublimation control of organic ammonium halides remains a critical factor in achieving reproducibility of the perovskite film in vacuum-processed devices.Many authors have found difficulties in monitoring the MAI sublimation, due to fluctuating deposition rates, [20,22,29,[47][48][49][50][51] or in measuring the thic...

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Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects

Liu

Tan

Liang

et al. 2023

Adv Funct Materials

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Data-driven epoch, the development of machine learning (ML) in materials and device design is an irreversible trend. Its ability and efficiency to handle nonlinear and game-playing problems is unmatched by traditional simulation computing software and trial-error experiments. Perovskite solar cells are complex physicochemical devices (systems) that consist of perovskite materials, transport layer materials, and electrodes. Predicting the physicochemical properties and screening the component materials related to perovskite solar cells is the strong point of ML. However, the applications of ML in perovskite solar cells and component materials has only begun to boom in the last two years, so it is necessary to provide a review of the involved ML technologies, the application status, the facing urgent challenges and the development blueprint.

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Large-area perovskite films for PV applications: A perspective from nucleation and crystallization

Cited by 15 publications

References 97 publications

Indoor Perovskite Photovoltaics for the Internet of Things—Challenges and Opportunities toward Market Uptake

Indoor Perovskite Photovoltaics for the Internet of Things—Challenges and Opportunities toward Market Uptake

Photovoltaic Devices Using Sublimed Methylammonium Lead Iodide Perovskites: Long‐Term Reproducible Processing

Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects

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