Electric‐Field‐Adaptive Wrinkled Surface for Tunable Liquid Manipulation: From Precision Droplet Transport to Selective Screening

Abstract Intelligent manipulation of fluid has aroused broad interest in the applications of freshwater harvesting, microfluidics, and energy. Despite much progress in this field, significant challenges persist in precisely controlling droplets intelligent driving and selection. Herein, inspired by shorebird beak and Nepenthes’ leaf edge, an electric‐field‐adaptive wrinkled surface (EFAWS) is developed for droplet driving and screening. Wrinkle geometry and lubricant thickness can dynamically regulate through electric field, enabling control trajectory and velocity by programming radial wrinkles and lubricant thickness, EFAWS achieves directional droplet transport and droplet volume‐selective sorting. Theoretical models reveal relationships between surface deformation and wetting dynamics, demonstrating size‐dependent directional responses governed by lubricant thickness. Volume‐specific transport pathways emerge from the capillary forces generated by wrinkles, allowing intelligent screening of microdroplets. EFAWS establishes structure‐field‐property correlations for designing smart interfaces, with potential applications in microreactors, water harvesting and intelligent fluidic devices with multi‐parameter control capabilities.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-10-08
DOI
https://doi.org/10.1002/adfm.202519020
Primary Topic
Surface Modification and Superhydrophobicity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electric‐Field‐Adaptive Wrinkled Surface for Tunable Liquid Manipulation: From Precision Droplet Transport to Selective Screening

Dongliang Tian, Jianzhi Li, Ke Li, Chunyu Zhang et al.
Advanced Functional Materials
Surface Modification and Superhydrophobicity
article

Electric‐Field‐Adaptive Wrinkled Surface for Tunable Liquid Manipulation: From Precision Droplet Transport to Selective Screening

Dongliang Tian, Jianzhi Li, Ke Li, Chunyu Zhang, Yan Li, Long Li, Yuliang Li, Qiuya Zhang, Xiaofang Zhang
article en

Abstract

Abstract Intelligent manipulation of fluid has aroused broad interest in the applications of freshwater harvesting, microfluidics, and energy. Despite much progress in this field, significant challenges persist in precisely controlling droplets intelligent driving and selection. Herein, inspired by shorebird beak and Nepenthes’ leaf edge, an electric‐field‐adaptive wrinkled surface (EFAWS) is developed for droplet driving and screening. Wrinkle geometry and lubricant thickness can dynamically regulate through electric field, enabling control trajectory and velocity by programming radial wrinkles and lubricant thickness, EFAWS achieves directional droplet transport and droplet volume‐selective sorting. Theoretical models reveal relationships between surface deformation and wetting dynamics, demonstrating size‐dependent directional responses governed by lubricant thickness. Volume‐specific transport pathways emerge from the capillary forces generated by wrinkles, allowing intelligent screening of microdroplets. EFAWS establishes structure‐field‐property correlations for designing smart interfaces, with potential applications in microreactors, water harvesting and intelligent fluidic devices with multi‐parameter control capabilities.

Advanced Functional MaterialsVol. 36(18)
Hebei University of Technology (CN), Institute of Mechanics (CN), Beijing University of Chemical Technology (CN), Beihang University (CN), University of Science and Technology Beijing (CN)
Openalex Percentile: Top 74%
Surface Modification and Superhydrophobicity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.