Prediction of Thermogravimetric Data in the Thermal Recycling of e-waste Using Machine Learning Techniques: A Data-driven Approach

[Image: see text] The release of bromine-free hydrocarbons and gases is a major challenge faced in the thermal recycling of e-waste due to the corrosive effects of produced HBr. Metal oxides such as Fe(2)O(3) (hematite) are excellent debrominating agents, and they are copyrolyzed along with tetrabro...

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Detalles Bibliográficos
Autores principales: Ali, Labeeb, Sivaramakrishnan, Kaushik, Kuttiyathil, Mohamed Shafi, Chandrasekaran, Vignesh, Ahmed, Oday H., Al-Harahsheh, Mohammad, Altarawneh, Mohammednoor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652257/
https://www.ncbi.nlm.nih.gov/pubmed/38024703
http://dx.doi.org/10.1021/acsomega.3c07228

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652257/
https://www.ncbi.nlm.nih.gov/pubmed/38024703
http://dx.doi.org/10.1021/acsomega.3c07228

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