Developing machine learning algorithms to predict the dissolution of zinc oxide nanoparticles in aqueous environment

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Authors

Yalezo, Ntsikelelo
Musee, Ndeke
Daramola, Michael Olawale

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Abstract

Please read abstract in the article.

Description

DATA AVAILABILITY : Data will be made available on request.

Keywords

Machine learning, nZnO dissolution, Surface transformation, Aqueous environment, Meta-analysis, Zinc oxide nanoparticles (nZnO), Engineered nanoparticle (ENP), SDG-09: Industry, innovation and infrastructure

Sustainable Development Goals

SDG-09: Industry, innovation and infrastructure

Citation

Yalezo, N., Musee, N. & Daramola, M.O. 2024, 'Developing machine learning algorithms to predict the dissolution of zinc oxide nanoparticles in aqueous environment', Environmental Nanotechnology, Monitoring and Management, vol. 22, art. 101000, pp. 1-13, doi : 10.1016/j.enmm.2024.101000.