Integrated experimental and machine learning-driven multi-objective optimization for phenol removal via silica aerogel/ZSM-5 nanocomposite: Isotherm and kinetic analysis, thermodynamic insights and pareto-based process design.
- DOI
- 10.1016/j.ecoenv.2026.120981
- Published
- 2026 Oct 28
- Container
- Ecotoxicology and environmental safety
- Publisher
- Not recorded
- Open access
- unknown
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BibTeX
@article{allodium:10.1016/j.ecoenv.2026.120981,
title = {Integrated experimental and machine learning-driven multi-objective optimization for phenol removal via silica aerogel/ZSM-5 nanocomposite: Isotherm and kinetic analysis, thermodynamic insights and pareto-based process design.},
author = {Taheri M and Moghaddas J and Pourtalebi B and Mohammadzadeh M},
year = {2026},
journal = {Ecotoxicology and environmental safety},
doi = {10.1016/j.ecoenv.2026.120981},
url = {https://doi.org/10.1016/j.ecoenv.2026.120981}
}RIS
TY - JOUR TI - Integrated experimental and machine learning-driven multi-objective optimization for phenol removal via silica aerogel/ZSM-5 nanocomposite: Isotherm and kinetic analysis, thermodynamic insights and pareto-based process design. AU - Taheri M AU - Moghaddas J AU - Pourtalebi B AU - Mohammadzadeh M PY - 2026 JO - Ecotoxicology and environmental safety DO - 10.1016/j.ecoenv.2026.120981 UR - https://doi.org/10.1016/j.ecoenv.2026.120981 ER -
APA
M, T., J, M., B, P., & M, M. (2026). Integrated experimental and machine learning-driven multi-objective optimization for phenol removal via silica aerogel/ZSM-5 nanocomposite: Isotherm and kinetic analysis, thermodynamic insights and pareto-based process design.. Ecotoxicology and environmental safety. https://doi.org/10.1016/j.ecoenv.2026.120981
Source records
- pubmed · retrieved 2026-11-10T15:05:27.982Z