Melamine-Derived MgO/AC Nanocomposite for Efficient Dye Removal: Integrating RSM and Machine Learning Modeling

= 0.981), indicating its suitability for modeling complex adsorption systems. This integrated experimental-modeling approach highlights the potential of melamine-derived MgO/AC as an efficiency-oriented adsorbent for dye-contaminated wastewater treatment.

Authors

Farhad Salimi (ORCID: https://orcid.org/0000-0003-3770-9577)
Changiz Karami (ORCID: https://orcid.org/0000-0002-5692-200X)
Hanie Nazari

Institutions

Islamic Azad University, Tehran (IR)
Kerry Group (Ireland) (IE)

Publication Details

Journal: Langmuir
Published: 2026-04-16
DOI: https://doi.org/10.1021/acs.langmuir.5c05181
Citations: 1
Primary Topic: Nanomaterials for catalytic reactions
Type: article
Field-Weighted Citation Impact: 10.90

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article

Melamine-Derived MgO/AC Nanocomposite for Efficient Dye Removal: Integrating RSM and Machine Learning Modeling

Farhad Salimi, Changiz Karami, Hanie Nazari

Apr 16, 2026

1 citations

Langmuir

Nanomaterials for catalytic reactions

10.90

article

Melamine-Derived MgO/AC Nanocomposite for Efficient Dye Removal: Integrating RSM and Machine Learning Modeling

Farhad Salimi, Changiz Karami, Hanie Nazari

April 16, 2026article en

1 citations

Abstract

LangmuirVol. 42(16)

Islamic Azad University, Tehran (IR), Kerry Group (Ireland) (IE)

Openalex Percentile: Top 2%

Nanomaterials for catalytic reactions

10.90

DOI Source OpenAlex

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