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

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...

Full description

Bibliographic Details
Main Authors: Shojaei, Taha Roodbar, Mohd Salleh, Mohamad Amran, Mobli, Hossein, Aghbashlo, Mortaza, Tabatabaei, Meisam
Format: Article
Language:English
Published: Springer 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81444/
http://psasir.upm.edu.my/id/eprint/81444/1/Multivariable%20optimization%20of%20carbon%20nanoparticles%20synthesized%20from%20waste%20facial%20tissues%20by%20artificial%20neural%20networks%2C%20new%20material%20for%20downstream%20quenching%20of%20quantum%20dots.pdf

Similar Items

Similar Items