Multivariable optimization of carbon nanoparticles synthesized from waste facial tissues by artificial neural networks, new material for downstream quenching of quantum dots

In this study, water-soluble carbon nanoparticles (CNPs) were synthesized by using waste facial tissue as a non-recyclable waste and the efficiency of CNPs in quenching mechanism of cadmium-telluride quantum dots (QDs) was investigated. In addition, CNPs synthesis was modeled by using artificial neu...

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Veröffentlicht in:	Journal of materials science. Materials in electronics 2019-02, Vol.30 (3), p.3156-3165
Hauptverfasser:	Roodbar Shojaei, Taha, Mohd Salleh, Mohamad Amran, Mobli, Hossein, Aghbashlo, Mortaza, Tabatabaei, Meisam
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Carbon Characterization and Evaluation of Materials Chemistry and Materials Science Intermetallic compounds Materials Science Nanoparticles Neural networks Optical and Electronic Materials Optimization Quantum dots Quenching Synthesis Tellurides
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