Anomalies in the bulk and surface electronic properties of SnS: effects of native defects

Dahule, Rohit; Singh, Chetan C.; Hongo, Kenta; Panda, Emila

doi:10.1039/d1tc04738h

Cited by 12 publications

(2 citation statements)

References 49 publications

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“…Furthermore, the change in bandgap, to a very small extent, could be attributed to reduction in the deviation of the stoichiometric ratio of Sn to S up to an extent with increase in S content. [29][30][31][32] The EQE and integrated J SC of both the devices are shown in Fig. 3h.…”

Section: Resultsmentioning

confidence: 99%

Prebaking of an SnS source with sulfur for achieving higher photovoltaic performance in VTD-SnS thin films for solar cells

Yadav,

Pawar,

Kim

et al. 2024

J. Mater. Chem. A

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Section: Resultsmentioning

confidence: 99%

Prebaking of an SnS source with sulfur for achieving higher photovoltaic performance in VTD-SnS thin films for solar cells

Yadav,

Pawar,

Kim

et al. 2024

J. Mater. Chem. A

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“…Damage to airport surfaces is a common hazard that affects aviation safety and will cause huge losses if not taken seriously. The accuracy and efficiency of manual inspection methods are extremely low and cannot adapt to the rapid development of aviation business [2]. The automatic classification and identification of airport runway diseases can not only detect the disease, but also understand the degree of damage according to the category of the disease, and eliminate the hidden danger caused by the airport road surface disease more efficiently [3].…”

Section: Introductionmentioning

confidence: 99%

BIM and CCD imaging based visual inspection method for airport road surface defects

Dai

Geng

2023

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023)

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The current conventional airport road surface disease detection method mainly obtains disease information data and analyzes them, which leads to poor detection accuracy due to the lack of denoising of the disease images. In this regard, the visualization detection method of airport road surface disease based on BIM and CCD imaging is proposed. Combining the BIM forward model and CCD imaging technology to collect the disease information, the image is denoised and filtered, and the edge detection algorithm is optimized. The experimental results show that the proposed detection method has a high AP value and a more desirable detection accuracy.

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Rapid Degradation of Dye Effluents with A SnS Catalyst: A Sustainable Approach Using Natural Light Under Ambient Conditions

Bhatia,

Jagirdar

2024

Chemistry An Asian Journal

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Dye degradation presents a persistent challenge in addressing water pollution. While several methods, including adsorption, biodegradation, and advanced oxidation processes, have been extensively explored, photocatalysis remains one of the most effective techniques. Conventional photocatalytic dye degradation processes often rely on expensive light sources and are time‐intensive. Herein, we synthesized a SnS catalyst using solvated metal atom dispersion (SMAD) method, using Sn foil and sulfur powder. The catalyst exhibited remarkable performance, achieving complete degradation of methylene blue within 2 minutes under ambient room light, without the need for any external light source. Similar degradation efficiency was achieved for methyl orange. To evaluate the role of light for the degradation, control experiments were conducted in the dark using methylene blue as a model dye. Although the degradation rate was slightly reduced, the catalyst still facilitated dye degradation in the absence of light. Additionally, the catalytic performance was tested with four other dyes under natural light, all of which yielded promising results, demonstrating the versatility and effectiveness of the SnS catalyst in dye degradation. This work highlights the potential of the SnS catalyst for efficient and rapid dye degradation under both light and dark conditions, offering an energy‐efficient solution for wastewater treatment.

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Anomalies in the bulk and surface electronic properties of SnS: effects of native defects

Abstract: SnS is a promising photovoltaic absorber material because of its low cost and less toxicity and is usually present in a heterostructure. Understanding the bulk and the surface electrical properties...

Cited by 12 publications

References 49 publications

Prebaking of an SnS source with sulfur for achieving higher photovoltaic performance in VTD-SnS thin films for solar cells

Prebaking of an SnS source with sulfur for achieving higher photovoltaic performance in VTD-SnS thin films for solar cells

BIM and CCD imaging based visual inspection method for airport road surface defects

Rapid Degradation of Dye Effluents with A SnS Catalyst: A Sustainable Approach Using Natural Light Under Ambient Conditions

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