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Quasi-ballistic ion transport in a vertical microrod enabling efficient evaporation-driven power generation

delete2026-07-27
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PRE
AI
M
Miao Wu
T
Tianyi Wang
J
Junchang Zhang
R
Rui Zhang
B
Bo Zhao
Z
Zekun Wang
C
Chuan Shan
S
Sifan Zhang
K
Kangxin He
Z
Zhiqiang Liang
M
Meiwen Peng *
孙迎辉 cover
孙迎辉 (Yinghui Sun) *
江林 cover
江林 (Lin Jiang) *
DOI:10.1038/s41560-026-02117-3delete
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Abstract

Abstract

En 中文
Evaporation-driven power generation harnesses atmospheric thermal energy via streaming potential, but sluggish, non-directional fluid flow causes waste heat dissipation, limiting the power density. Here we demonstrate a machine learning-guided vertical microrod generator (VMG) that generates a directional Laplace pressure gradient for rapid fluid flow, thereby realizing quasi-ballistic ion transport. VMG delivers 21.5% power conversion efficiency and 14.3 W m−2 power density, with stability over 30 days under ambient conditions and retaining the efficiency over 20% across 30 K ambient temperature span. Integrated VMG arrays can power commercial devices, including emergency lights and 36 W ceiling lamps. This work achieves efficient conversion of low-power-density atmospheric thermal energy into electricity, offering a practical pathway for reliable off-grid power supply. Evaporation-driven power generators are often limited by non-directional fluid flow, which reduces their efficiency. Guided by machine learning, Wu et al. developed a vertical microrod generator that improves ion transport, increasing efficiency and power density.

Journal

Nature Energy cover
Nature Energy
IF:
60.1
Papers:
981
Citations:
5.6W

Organization

S
suzhou university of technology
Scholars:
205
Papers: 94
Citations: 0
S
soochow university
Scholars:
1.1W
Papers: 4.1K
Citations: 5
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