Augmentation of power conversion efficiency of amorphous silicon solar cell employing poly(methyl methacrylate-co-acrylic acid) nanospheres encapsulated with gold nanoparticles

Lee, Chee-Leong; Goh, Wee Sheng; Chee, Swee Yong; Yik, Lai-Kuan

doi:10.1007/s10853-017-1889-5

Cited by 8 publications

(1 citation statement)

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“…It has been linked to the growing Polymeric chains of Poly(MMA‐co‐AA). The initial phase of degradation is the cause of the weight loss of about 3%, which began at 180°C in the TGA thermogram and is due to the decarboxylation and dehydration of AA segments in the Polymer chain molecules 34 . In the second phase of degradation, the weight loss observed was around 93% at a temperature of 390°C due to the rupture of the MMA monomer.…”

Section: Resultsmentioning

confidence: 99%

Study of antibacterial and mechanical properties of poly(methyl methacrylate‐co‐acrylic acid)/hydroxyapatite biocomposite by using artificial neural network approach

Sahoo,

Biswal

2024

SPE Polymers

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A novel, promising biocomposite was synthesized through the free radical polymerization method using methyl methacrylate (MMA), acrylic acid (AA), and hydroxyapatite derived from oyster shells (Os‐HA). Fourier transform infrared spectroscopy (FTIR) peaks indicate the conjugation of Os‐HA in the biocomposite. From the TGA analysis, it was observed that a weight loss of nearly 2% is achieved at 210°C, up to 15% at 210 to 420°C, and up to 95% at 420 to 580°C. The SEM image shows the uniform dispersion of the Os‐HA particles and strong interaction with the copolymer matrix. The broad spectrum at 2θ = 14.6° in XRD analysis indicates the amorphous nature of poly(MMA‐co‐AA)/Os‐HA. The higher inhibition zone of the biocomposite is observed at 125 μL against E. coli bacteria. The maximum water absorption is observed at 15 wt% of Os‐HA. The young's modulus gradually increases, while the impact strength decreases up to 20 wt% of Os‐HA. The artificial neural network (ANN) model has been used to assess the optimum values of impact strength, tensile strength, and Young's modulus of the biocomposite material. The correlation factor (R = 0.998) of the ANN model data indicates greater accuracy of the experimental result.

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Section: Resultsmentioning

confidence: 99%