Faradaic deionization technology: Insights from bibliometric, data mining and machine learning approaches-Reference-Cited by-同舟云学术

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

Published:2023-10 Issue: Volume:563 Page:116715
ISSN:0011-9164
Container-title:Desalination
language:en
Short-container-title:Desalination

Author:

Aytaç Ersin,Fombona-Pascual Alba,Lado Julio J.,Quismondo Enrique García,Palma Jesús,Khayet Mohamed

Funder

Universidad Complutense de Madrid

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

TÜBİTAK National Metrology Institute

Publisher

Elsevier BV

Subject

Mechanical Engineering,Water Science and Technology,General Materials Science,General Chemical Engineering,General Chemistry

Reference331 articles.

1. Na-ion desalination (NID) enabled by Na-blocking membranes and symmetric Na-intercalation: porous-electrode modeling;Smith;J. Electrochem. Soc.,2016

2. The state of desalination and brine production: a global outlook;Jones;Sci. Total Environ.,2019

3. Capacitive deionization (CDI) for desalination and water treatment — past, present and future (a review);Oren;Desalination,2008

4. Capacitive deionization of water: an innovative new process;Farmer, D,1995

5. Capacitive Deionization TechnologyTM: an alternative desalination solution;Welgemoed;Desalination,2005

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Memory effect: From membrane-based towards membrane-less and membrane-free faradaic deionization;Desalination;2024-12

2. Electrochemical elegance: A review on capacitive deionization for fluoride and arsenic mitigation in brackish water;Electrochimica Acta;2024-11

3. Exploring the potential of Donnan dialysis for sustainable water treatment: A bibliometric analysis on global research trends and future directions;Desalination and Water Treatment;2024-10

4. Progress toward adsorption mechanism exploration method for capacitive deionization: Experimental, mathematical model, computational chemistry and machine learning;Desalination;2024-10

5. Metadata and feature importance analyses of membrane capacitive deionization models: Is a water treatment artificial intelligence panacea possible?;Desalination;2024-09

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