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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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2019
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Online Access: | 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 http://psasir.upm.edu.my/id/eprint/81444/ https://link.springer.com/article/10.1007/s10854-018-00595-0?shared-article-renderer |
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Institution: | Universiti Putra Malaysia |
Language: | English |
Internet
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.pdfhttp://psasir.upm.edu.my/id/eprint/81444/
https://link.springer.com/article/10.1007/s10854-018-00595-0?shared-article-renderer