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Unveiling the complex morphologies of sessile droplets on heterogeneous surfaces

Wu, Yanchen 1; Zhang, Hongmin 1; Wang, Fei ORCID iD icon 1; Nestler, Britta 1
1 Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)

Abstract:

Droplets exhibiting a myriad of shapes on surfaces are ubiquitous in both nature and industrial applications. In high-resolution manufacturing processes, e.g., semiconductor chips, precise control over wetting shapes is crucial for production accuracy. Despite the high demand for describing droplet wetting shapes and their transformations across a wide range of applications, a robust model for precisely depicting complex three-dimensional (3D) wetting droplet shapes on heterogeneous surfaces remains elusive. Herein, we fill this gap by developing a universal, high-precision model that accurately describes wetting shapes, including those with polygonal baselines and irregular footprints. Our model reveals the intricate wetting morphologies beyond the classic Young’s law and Cassie-Baxter-Wenzel models. Besides, it aligns quantitatively with physical simulations for various droplet volumes. This work provides a potential method to achieve highly complex morphologies of droplets via low-cost beforehand design of the surfaces, thereby opening up potential applications in 3D printing, printed electronics, and microfluidics.


Verlagsausgabe §
DOI: 10.5445/IR/1000183329
Veröffentlicht am 24.07.2025
Originalveröffentlichung
DOI: 10.1038/s42005-025-01939-z
Scopus
Zitationen: 3
Web of Science
Zitationen: 3
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Nanotechnologie (INT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 2399-3650
KITopen-ID: 1000183329
HGF-Programm 43.31.01 (POF IV, LK 01) Multifunctionality Molecular Design & Material Architecture
Erschienen in Communications Physics
Verlag Nature Research
Band 8
Heft 1
Seiten Art.-Nr.: 38
Vorab online veröffentlicht am 24.01.2025
Nachgewiesen in Dimensions
Web of Science
OpenAlex
Scopus
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