Integrated experimental-machine learning framework for the synthesis optimization and predictive modeling of iron oxide nanoparticles in dye removal applications
Crossref DOI link: https://doi.org/10.1038/s41598-026-67380-6
Published Online: 2026-08-20
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ahmadi, Omid
Behrouz, Hadis
Beigzadeh, Reza
Text and Data Mining valid from 2026-08-20
Accepted Manuscript valid from 2026-08-20
Article History
Received: 5 June 2026
Accepted: 13 August 2026
First Online: 20 August 2026