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

• DOI: 10.1016/j.desal.2023.116715
• Publication Date: 2023-05-25T16:06:02Z
• Authors: Ersin Aytaç; Alba Fombona-Pascual; Julio J. Lado; Enrique García Qu...; Jesús Palma; Mohamed Khayet
• Keywords: Capacitive Deionization; Sentiment Analysis; Similarity (geometry)

Faradaic deionization (FDI) is an emerging water treatment technology based on electrodes able to remove ionic species from by charge transfer reactions. It a young and promising that has attracted much attention due its large capacity store ions the high selectivity of faradaic electrode materials. This study reviews published papers FDI different angles: data mining, bibliometric machine learning. Metrics such as annual growth rate, most important journals, relevant authors, collaborations maps, sentiment subjectivity analysis, similarity clustering analysis were performed. The results indicated strong interest in really started 2016, China active country FDI, Desalination journal publishing articles. word cloud method showed preferred adopted words are deionization, capacitive, electrode, material. Sentiment researchers optimistic about technology. title revealed successful proposing unique appropriate titles. approach stressed literature concentrated material production, desalination application, lithium recovery comparison with CDI.