Quantum dot-sensitized solar cells

Pan, Zhenxiao; Rao, Huashang; Mora‐Seró, Iván; Bisquert, Juan; Zhong, Xinhua

doi:10.1039/c8cs00431e

Cited by 371 publications

(238 citation statements)

References 492 publications

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“…[1,2] In recent years, there are many studies [3][4][5][6][7][8] focusing on energy storage and conversion setups to develop the method of collecting and using the renewable, sustainable, and green energy resource. [1,2] In recent years, there are many studies [3][4][5][6][7][8] focusing on energy storage and conversion setups to develop the method of collecting and using the renewable, sustainable, and green energy resource.…”

Section: Introductionmentioning

confidence: 99%

A Filter Paper‐Based Nanogenerator via Water‐Drop Flow

Yang

et al. 2019

Advanced Sustainable Systems

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proposed to harvest the ultrasonic wave's energy using zinc oxide (ZnO) nanowire arrays, [9] the nanogenerator has entered a period of rapid development. [10][11][12][13] Various energies have been harvested using many kinds of nanogenerators, [4] such as triboelectric nanogenerators, [13] PENGs, [14] thermal-electric nanogenerators, [15] and photoelectric nanogenerators. [16] In addition, the as-harvested energy has various resources, such as wind, [17][18][19] heat energy, [20,21] solar power, [22] vibration, [23,24] mechanical energy, [25] electromagnetic waves, [26] chemical energy, [27] and water energy. [11,28,29] Therein, the nanogengerator induced from water-flow [30][31][32][33][34] and water evaporation [29,35] is a majority part of the water energy nanogenerator. Generally, the energy-produced principle from water-flow and water evaporation could be divided into two categories according to the surface properties of the nanogenerator. On the one hand, as the ionic solution

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Section: Introductionmentioning

confidence: 99%

A Filter Paper‐Based Nanogenerator via Water‐Drop Flow

Yang

et al. 2019

Advanced Sustainable Systems

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“…[1][2][3][4] In the past few years, the power conversion efficiency (PCE) of liquid-junction QDSCs has been improved from less than 5% to over 12%, [5][6][7][8] which is still below with those of the emerging inorganic photovoltaic technologies such as perovskite CsPbI 3 QD-based solar cells. [1][2][3][4] In the past few years, the power conversion efficiency (PCE) of liquid-junction QDSCs has been improved from less than 5% to over 12%, [5][6][7][8] which is still below with those of the emerging inorganic photovoltaic technologies such as perovskite CsPbI 3 QD-based solar cells.…”

Section: Doi: 101002/adma201903696mentioning

confidence: 99%

“…The obtained Zn/Ti, Cu/Ti, and In/Ti atomic ratios for the cosensitized TiO 2 films were found to be higher than those for the single QD-based ones. [1] It has been demonstrated that the improved coverage of QDs on TiO 2 can better block the electron leakage from TiO 2 to electrolyte, reducing charge recombination loss. Generally, the increase in the QD loading amount on TiO 2 will help to suppress the interfacial charge recombination process.…”

Section: Doi: 101002/adma201903696mentioning

confidence: 99%

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Boosting the Performance of Environmentally Friendly Quantum Dot‐Sensitized Solar Cells over 13% Efficiency by Dual Sensitizers with Cascade Energy Structure

et al. 2019

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Generally, high light‐harvesting efficiency, electron‐injection efficiency, and charge‐collection efficiency are the prerequisites for high‐efficiency quantum‐dot‐sensitized solar cells (QDSCs). However, it is fairly difficult for a single QD sensitizer to meet these three requirements simultaneously. It is demonstrated that these parameters can be felicitously balanced by a cosensitization strategy through the adoption of environmental‐friendly Zn–Cu–In–Se and Zn–Cu–In–S dual QD sensitizers with cascade energy structure. Experimental results indicate that: i) the combination of the dual QDs can improve the light‐harvesting capability of the cells, especially in the visible light window; ii) the cosensitization approach can facilitate electron injection, benefitting from the cascade energy structure of the two QD sensitizers employed; iii) the charge‐collection efficiency can be remarkably enhanced by the suppressed charge‐recombination process due to the improved QD coverage on TiO2. Consequently, this cosensitization strategy delivers a new certified efficiency record of 12.98% for liquid‐junction QDSCs under AM 1.5G 1 sun irradiation. Moreover, the constructed cells exhibit good stability in a high‐humidity environment.

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“…During the past decade, semiconductor quantum dots (QDs) have been intensively studied due to their appealing optical properties such as high color purity, emission peak tunability, high brightness and photostability . They have promising applications in solar cell, light emitting diodes (LEDs), sensors, fluorescent probes, biolabeling, and anticounterfeiting . For example, QDs‐based LEDs, so called QLEDs, exhibit longer photoluminescence (PL) lifetime and higher thermal stability than organic light emitting diodes and, therefore, have been applied in the latest generation of displays .…”

Section: Introductionmentioning

confidence: 99%

Neural network modeling and simulation of the synthesis of CuInS₂/ZnS quantum dots

Mrziglod

Luan

et al. 2020

Engineering Reports

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The development of recipes for synthesis of quantum dots (QDs), a novel semiconductor material for application in optoelectronic devices, is currently purely based on experiments. Since the quality of QDs represented by quantum yield (QY) and emission peak strongly depends on a number of different parameters (route, precursors, conditions, etc), a large number of experiments is necessary. In this article, we show that data‐driven modeling can be used as a supporting tool for optimization and a better understanding of the synthesis process. By using the results collected during the development of CuInS2/ZnS (CIS/ZnS) QDs, a neural network model has been established. The model is able to predict the optical properties (QY and emission peak) of CIS/ZnS QDs as a function of the most important synthesis parameters, such as reaction temperature, time of CIS core formation and ZnS shell growth, feed molar ratio of Cu/In and Zn/Cu, various starting precursors, and types of ligands. Finally, a model analysis under various effects influencing the quality of QDs is performed.

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Quantum dot-sensitized solar cells

Cited by 371 publications

References 492 publications

A Filter Paper‐Based Nanogenerator via Water‐Drop Flow

A Filter Paper‐Based Nanogenerator via Water‐Drop Flow

Boosting the Performance of Environmentally Friendly Quantum Dot‐Sensitized Solar Cells over 13% Efficiency by Dual Sensitizers with Cascade Energy Structure

Neural network modeling and simulation of the synthesis of CuInS₂/ZnS quantum dots

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Quantum dot-sensitized solar cells

Cited by 371 publications

References 492 publications

A Filter Paper‐Based Nanogenerator via Water‐Drop Flow

A Filter Paper‐Based Nanogenerator via Water‐Drop Flow

Boosting the Performance of Environmentally Friendly Quantum Dot‐Sensitized Solar Cells over 13% Efficiency by Dual Sensitizers with Cascade Energy Structure

Neural network modeling and simulation of the synthesis of CuInS2/ZnS quantum dots

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Neural network modeling and simulation of the synthesis of CuInS₂/ZnS quantum dots