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                                       Details for article 29 of 37 found articles
 
 
  Studying the rifampin solubility in supercritical CO2 with/without co-solvent: Experimental data, modeling and machine learning approach
 
 
Title: Studying the rifampin solubility in supercritical CO2 with/without co-solvent: Experimental data, modeling and machine learning approach
Author: Peyrovedin, Hamed
Sajadian, Seyed Ali
Bahmanzade, Sara
Zomorodian, Kamiar
Khorram, Mohammad
Appeared in: The Journal of supercritical fluids
Paging: Volume 218 () nr. C pages p.
Year: 2025
Contents:
Publisher: Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 29 of 37 found articles
 
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