Critical rare earth metal adsorption onto expanded vermiculite: accurate modeling through response surface methodology and machine learning techniques
The circular economy of rare earth metals (REM), such as dysprosium, is essential for a sustainable future in clean energy and high-tech fields. Adsorption has gained attention to recover and reintegrate REM into the productive chain; however, accurate modeling of adsorptive processes still needs to...
- Autores:
-
de Vargas Brião, Giani
Pfingsten Franco, Dison Stracke
Vasconcelos da Silva, Flávio
Carlos da Silva, Meuris Gurgel
Gurgel Adeodato Vieira, Melissa
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2023
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9935
- Acceso en línea:
- https://hdl.handle.net/11323/9935
https://repositorio.cuc.edu.co/
- Palabra clave:
- Dysprosium
Adsorption
Vermiculite
RSM
Machine learning
- Rights
- embargoedAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)