Faradaic deionization technology: Insights from bibliometric, data mining and machine learning approaches

Aytaç, E. and Fombona-Pascual, A. and Lado, J.J. and García-Quismondo, E. and Palma, J. and Khayet, M. (2023) Faradaic deionization technology: Insights from bibliometric, data mining and machine learning approaches. Desalination, 563. p. 116715. ISSN 00119164

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Official URL: http://dx.doi.org/10.1016/j.desal.2023.116715
Item Type: Article
Subjects: T Technology > TD Environmental technology. Sanitary engineering
Depositing User: José Ángel Gómez Martín
Date Deposited: 21 Sep 2023 08:58
Last Modified: 21 Sep 2023 08:58
URI: http://eprints.imdea-agua.org:13000/id/eprint/1547

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