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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
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| 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 |