Synthesis and supercapacitive performances of PPY@MoO3 based nanocomposite material

Joshi, Naveen Chandra; Dhiman, Rakshita; Kimothi, Sanjeev; Kumar, Niraj; Semwal, Poonam; Gajraj, V.

doi:10.1007/s10971-022-05928-4

Cited by 12 publications

(2 citation statements)

References 52 publications

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“…MnO 2 [129] Brunauer-Emmett-Teller (BET) Specific surface area of materials ZnO [130] Vibrating sampling magnetometer (VSM) Magnetic properties Al 2 O 3 /BF 3 /Fe 3 O 4 [131] Fourier-transform infrared spectroscopy (FTIR) Type of chemical bonds in nanomaterials MoO 3 /PPY [132] Thermogravimetric analyzer (TGA) Endothermic and exothermic phase transitions of material.…”

Section: Conflicts Of Interestmentioning

confidence: 99%

Advances in Metal Oxide‐based Nanocatalysts for Biodiesel Production: A Review

et al. 2023

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The demand for renewable fuels has risen as a result of increasing human population, urbanization, industrialization, and transport systems. Biodiesel production using metal oxide-based heterogeneous catalysts is an efficient, sustainable, and environmentally friendly approach. Because of their recovery, reusability, and consistency, heterogeneous catalysts may be preferable to homogeneous catalysts. Since the last few decades, the metal oxides of alkali earth and transition metals and their composite materials have been used as nanocatalysts in the production of biodiesel fuel. Utilization of inorganic metal oxide nanoparticles (MONPs) and their composite materials in producing biodiesel has gained increased attention because of their advanced physical and chemical characteristics. In this review, the applicability of metal oxides and their nanocomposite-based catalysts in biodiesel production, transesterification reactions with nanocatalytic systems, and the important parameters that affect these reactions are discussed.

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Section: Conflicts Of Interestmentioning

confidence: 99%

Advances in Metal Oxide‐based Nanocatalysts for Biodiesel Production: A Review

et al. 2023

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“…Understanding the characteristics and behavior of distinct materials across arrange of scientific and engineering areas depends critically on material characterization. Accurate characterization makes it easier to analyze material composition, shape, and structure, which propels developments in industries like semiconductor production, nanotechnology, and materials research (Joshi et al, 2022;Joshi et al, 2023). Images obtained using cutting-edge imaging methods, such as scanning electron microscopy (SEM) and atomic force microscopy (AFM), are crucial sources of data for material investigation in this situation (Rades et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

2D Discrete Wavelet Transformation (2D-DWT) for Nanoscale Morphological Analysis

Bhatt,

Kumar,

Hassan

et al. 2023

Prabha Materials Science Letters

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Digital image processing nowadays is widely used in various applications in micro to macro scale such as Nano-structure for medical, defense, natural resource management, security purposes. This article reviewed the 2-Dimensional Discrete Wavelet Transformation (2D-DWT) for morphological analysis of Scanning Electron Microscope (SEM) image of Ni-P-CNF nanocomposite plated on mild steel substrate (grade AISI1040) for analyzing the multi-level decomposition, denoising and compression test. It was concluded that the 2D-DWT method is more efficient and precise as compared to the conventional methods like Power Spectral Density (PSD) and histogram equivalence. These methods are limited by the Heisenberg uncertainty principle, whereas, the wavelet theorem provides a multi-resolution analysis. The wavelet function can capture localized characteristics and transients in the data since it is often localized in both time and frequency. These features make wavelets ideal for storing transient and steady-state components of a signal or image, allowing them to simultaneously offer excellent time and frequency localization. SEM images usually contain huge information which can lead to computational complexities. 2D-DWT is a very effective tool to de-noise the image. In order to test its efficiency, we have intentionally added some noise in the image and de-noise it. Also, we have compressed the image at different at different levels. This study provides the utility of the 2D-DWT for image processing as well as compared with other approaches for image decomposition, denoising and image compression.

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Improved supercapacitive performances of zirconia after incorporation with polythiophene

Joshi

2023

Polym. Bull.

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Synthesis and supercapacitive performances of PPY@MoO3 based nanocomposite material

Cited by 12 publications

References 52 publications

Advances in Metal Oxide‐based Nanocatalysts for Biodiesel Production: A Review

Advances in Metal Oxide‐based Nanocatalysts for Biodiesel Production: A Review

2D Discrete Wavelet Transformation (2D-DWT) for Nanoscale Morphological Analysis

Improved supercapacitive performances of zirconia after incorporation with polythiophene

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