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