Published in

Elsevier, Separation and Purification Technology, (351), p. 127937, 2024

DOI: 10.1016/j.seppur.2024.127937

Links

Tools

Export citation

Search in Google Scholar

Machine learning approaches to predict adsorption performance of sugarcane derived-carbon dot −based composite in the removal of dyes

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO