Projects per year
Abstract
As the most common but indispensable matter to humankind, water usually stays in a macroscopically electric neutral state. Due to its inherent molecular polarity, however, water can be easily electrified, which builds a connection between water and electricity. Such a coupling of water and electricity abounds deep scientific basics and technological applications. The past several decades have witnessed extensive progress in studying the mutual effects between electricity and water, but a comprehensive review of its fundamentals and applications is still largely missing. In this review, we first reassess and classify the basic electrifying methods of water according to their mechanisms, then highlight how to leverage the bond nexus of water and electricity to achieve promising technical applications. We envision that this review will inspire multidisciplinary scientific communities to think and innovate more on the research of water, electricity, and their marriage. © 2022 The Authors. Droplet published by Jilin University and John Wiley & Sons Australia, Ltd.
Original language | English |
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Pages (from-to) | 92-109 |
Journal | Droplet |
Volume | 1 |
Issue number | 2 |
Online published | 7 Oct 2022 |
DOIs | |
Publication status | Published - Oct 2022 |
Funding
We acknowledge financial support from the National Natural Science Foundation of China (no. 51975502) and the Research Grants Council of Hong Kong (no. C1006-20WF, CityU no. 11213320, and CityU no. 11201020).
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
Fingerprint
Dive into the research topics of 'Electrification of water: From basics to applications'. Together they form a unique fingerprint.Projects
- 2 Finished
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GRF: Developing Transistor-Like Water Energy Generator with High Peak Power Density and High Durability
WANG, Z. (Principal Investigator / Project Coordinator) & ZENG, X. C. (Co-Investigator)
1/01/21 → 21/05/24
Project: Research
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GRF: Micromechanical Investigation of Sands Using Machine Learning Methods
WANG, J. J. (Principal Investigator / Project Coordinator)
1/01/21 → 19/12/24
Project: Research