Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Hydrovoltaic Power Generation Depend on Wettability at the Liquid–Solid Interface: Mechanisms, Materials, and Applications With Various Resource

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2025

Hydrovoltaic Power Generation Depend on Wettability at the Liquid–Solid Interface: Mechanisms, Materials, and Applications With Various Resource

0 Datasets

0 Files

en
2025
Vol 5 (2)
Vol. 5
DOI: 10.1002/exp.70007

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Ho Won Jang
Ho Won Jang

Institution not specified

Verified
Yejin Lee
Minwoo Lee
Junwoo Lee
+2 more

Abstract

With the global increase in energy consumption, there is a growing demand for green energy production, which has prompted the development of novel renewable energy sources. Recently, significant momentum has been observed in research on new energy harvesting methods suitable for small devices. In this context, hydrovoltaic power generation, utilizing water due to its ubiquitous presence and easy availability, has emerged as a promising technology. Hydrovoltaic power generation operates by converting the potential energy of water into electrical energy through the interaction between water and materials capable of inducing an electrical potential gradient. The control of material surface wettability, which determines the interaction with water, plays a crucial role in enhancing the electrical output and long-term stability of power generation systems. This review categorizes the mechanisms of hydrovoltaic power generation into flow and diffusion mechanisms, discussing respective case studies based on hydrophobic and hydrophilic substrates. Additionally, representative materials used in hydrovoltaic power generation are discussed and the potential to expand this technology across various fields based on the diverse resources of water is demonstrated. The review concludes with future perspectives, highlighting the applications of hydrovoltaic power generation across multiple domains and outlining directions for future research and development.

How to cite this publication

Yejin Lee, Minwoo Lee, Junwoo Lee, Ho Won Jang, Ji‐Soo Jang (2025). Hydrovoltaic Power Generation Depend on Wettability at the Liquid–Solid Interface: Mechanisms, Materials, and Applications With Various Resource. , 5(2), DOI: https://doi.org/10.1002/exp.70007.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2025

Authors

5

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/exp.70007

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access