Innovations and Insights in Superhydrophobicity: Learning from Nature to Surpass It

Abstract. Superhydrophobic surfaces, inspired by natural examples, have emerged as a promising area of research due to their unique properties. This paper reviews the characteristics and challenges of creating surfaces that can exceed the capabilities of natural counterparts. Key aspects include surface tension, contact angle, and morphology, with a focus on natural models such as lotus leaves and gecko feet. The paper highlights knowledge gaps in durability and manufacturing, and discusses design challenges in achieving roughness, hierarchy, and balance between hydrophobicity and durability. Methods for enhancing durability, such as chemical and roughness restoration, are explored, alongside the potential of AI in optimizing material and design choices. The paper concludes with recommendations for future research directions in the field.

Authors

Institutions

Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-08
DOI
https://doi.org/10.54254/2755-2721/98/20241114
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

Innovations and Insights in Superhydrophobicity: Learning from Nature to Surpass It

Zehua Huang, Peilin Li, Yuhan Zhang, Tianrui Li
Applied and Computational Engineering
Surface Modification and Superhydrophobicity
article

Innovations and Insights in Superhydrophobicity: Learning from Nature to Surpass It

Zehua Huang, Peilin Li, Yuhan Zhang, Tianrui Li
article en

Abstract

Abstract. Superhydrophobic surfaces, inspired by natural examples, have emerged as a promising area of research due to their unique properties. This paper reviews the characteristics and challenges of creating surfaces that can exceed the capabilities of natural counterparts. Key aspects include surface tension, contact angle, and morphology, with a focus on natural models such as lotus leaves and gecko feet. The paper highlights knowledge gaps in durability and manufacturing, and discusses design challenges in achieving roughness, hierarchy, and balance between hydrophobicity and durability. Methods for enhancing durability, such as chemical and roughness restoration, are explored, alongside the potential of AI in optimizing material and design choices. The paper concludes with recommendations for future research directions in the field.

Applied and Computational EngineeringVol. 98(1)
Jilin University (CN), Guangzhou Experimental Station (CN), China Ningbo International Cooperation (China) (CN)
Openalex Percentile: Top 81%
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.