journal article·2026-06Open access

Nanoscale analysis of superhydrophobic and anti-icing biomimetic carbon-modified geopolymer

W. Sekkal, Ali Zaoui, Miao Zhou

Abstract

Inspired by natural surfaces, biomimetic superhydrophobic materials have garnered significant attention for their potential to enhance environmental protection. In particular, superhydrophobic surfaces offer excellent self-cleaning and anti-moisture capabilities, making them highly attractive for building applications to prevent water infiltration and extend lifetime of structures. In this work, we propose a novel design of a bioinspired superhydrophobic surface based on a modified metakaolin geopolymer coated with a carbon nanohorn (CNH) film. This hybrid architecture synergistically combines low surface energy with hierarchical surface roughness to effectively minimize the solid-liquid contact area, mimicking the lotus leaf effect. Results from reactive molecular dynamics method show the high performance of the designed bio-inspired surface, exhibiting a low surface energy of 1.81 meV/Å 2 , a water contact angle in the range of 151° - 157°, and ice adhesion work of 34.87 mJ/m 2 . The obtained reduced solid fraction, increased surface roughness, and nanoscale geometry promotes the Cassie–Baxter wetting regime. Notably, a spontaneous ice detachment is observed with an ice adhesion strength of 14.9 MPa, representing a 92% reduction compared to carbon nanotube arrays. The findings provide a versatile design pathway toward infrastructure materials capable of actively repelling water and ice, with transformative potential for self-cleaning building envelopes, ice-resistant transportation structures, and durable coatings for harsh environments.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Surface Modification and Superhydrophobicity · Polymer Surface Interaction Studies · Advanced Sensor and Energy Harvesting Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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