Sustainable Synthesis Processes for Carbon Dots through Response Surface Methodology and Artificial Neural Network

Sustainable Synthesis Processes for Carbon Dots through Response Surface Methodology and Artificial Neural Network

Nowadays, to ensure sustainability of smart materials, it is imperative to eliminate or reduce carbon footprint related to nano material production. The concept of design of experiment to provide an optimal synthesis process, with a desired yield, is indispensable. It is the researcher’s g...

Full description

Bibliographic Details
Main Authors: Musa Yahaya Pudza, Zurina Zainal Abidin, Suraya Abdul Rashid, Faizah Md Yasin, Ahmad Shukri Muhammad Noor, Mohammed A. Issa
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Processes
Subjects:
tapioca
response surface methodology
artificial neural network
carbon dots
hydrothermal
photoluminescence
organic
Online Access:https://www.mdpi.com/2227-9717/7/10/704

Internet

https://www.mdpi.com/2227-9717/7/10/704

Similar Items