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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Kumar, Vinod
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2024Bioactivity and corrosion analysis of thermally sprayed hydroxyapatite based coatings
- 2024MIL-101(Cr)/Aminoclay Nanocomposites for Conversion of CO2 into Cyclic Carbonatescitations
- 2024Cellulose‐based smart materials: Novel synthesis techniques, properties, and applications in energy storage and conversion devicescitations
- 2024Corrosion inhibition analysis on cerium induced hydrophobic surface of Al-6061/SiC/Al<sub>2</sub>O<sub>3</sub> hybrid compositescitations
- 2023Analyzing the tribological and mechanical performance of Al-6061 with rare earth oxides: An experimental analysiscitations
- 2023Structural, morphological, optical and biomedical applications of Berberis aristata mediated ZnO and Ag-ZnO nanoparticlescitations
- 2023Organic sensing element approach in electrochemical sensor for automated and accurate pesticides detectioncitations
- 2023Sustainable utilization and valorization of potato waste: state of the art, challenges, and perspectivescitations
- 2022On-Sun Testing of a High-Temperature Solar Receiver’s Flux Distributioncitations
- 2022Effect of REOs on tribological behavior of aluminum hybrid composites using ANNcitations
- 2021A CNN With Deep Learning for Non-Equilibrium Characterization of Al-Sm Melt Infusion Into a B4C Packed Bed
- 2019Uncertainty Quantification of Molten Hafnium Infusion Into a B4C Packed-Bed
- 2019Microstructure and magnetic behavior of FeCoNi(Mn-Si)x (x = 0.5, 0.75, 1.0) high-entropy alloyscitations
- 2018Utilization of Machine Learning to Predict the Surface Tension of Metals and Alloys
- 2018Predicting the Depth of Penetration of Molten Metal Into a Pore Network Using TensorFlow
- 2015Optical and Structural Study of Polyaniline/Polystyrene Composite Filmscitations
- 2012Simulation of Cooling Rate of Gray Cast Iron Casting in a Sand Mold and its Experimental Validationcitations
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article
Optical and Structural Study of Polyaniline/Polystyrene Composite Films
Abstract
<jats:title>Summary</jats:title><jats:sec><jats:label /><jats:p>Polyaniline (PANI) was synthesized by oxidative polymerization method using potassium dichromate (K<jats:sub>2</jats:sub>Cr<jats:sub>2</jats:sub>O<jats:sub>7</jats:sub>) as an oxidising agent. X‐ray diffraction (XRD) and Fourier transform infrared spectroscopy (FT‐IR) results confirm the emerlandine salt formation of PANI. Polystyrene and PANI based composites were prepared by solution cast method. Ultraviolet‐visible spectrophotometry (UV‐Vis) results of polymer composite film in the range of 200–400 nm indicate the interaction between neighbouring phenyl groups. Structural properties of the composite films were determined by the Fourier transform infrared spectroscopy (FT‐IR) and X‐ray diffraction (XRD). Morphological changes of PS‐PANI film were investigated by scanning electron microscopy (SEM) and optical micrographs.</jats:p></jats:sec>