journal article·2026-02-01Open access

All-flexible self-cleaning hydrogel smart window with multifunctionality based on an electro-thermal manipulator

Chao Chen, Sijia Guo, Long Zhang, Bingrui Liu, Zhaoxin Lao, Shuyi Li, Yanlei Hu, Dong Wu

Abstract

Abstract Smart windows that can repel diverse liquids are highly attractive for the development of self-cleaning building system. Despite immense achievements having been made in drophobic smart windows, unfortunately, the limitations of inferior transparency, unsatisfactory flexibility, and scarce functionality greatly hinder their practical applications. Here, a multifunctional, all-flexible and slef-cleaning electrothermal-actuated (SETA) module with superior transparency is developed by sandwiching the hydrophobic SiO 2 nanoparticles decorated silver nanowires thin-film heater and the thermo-responsive hydrogel. Through loading/discharging an electric stimulus of 5 V, the optical visibility of SETA could be in situ switched between an opaque state ( T 550 = 11.0%) and a transparent state ( T 550 = 84.9%) relying on the dynamically collapsed and swollen transition of hydrogel on planar and three-dimensional curved surfaces. Moreover, SETA chipset is able to repel diverse liquids, including organic and inorganic species, showcasing an excellent self-cleaning capability. Lastly, all-in-one multifunctionalities, including pixelated display, thermal regulation, defogging, and self-cleaning on a single SETA chipset, are successfully deployed. Compared to the previous windows, the current SETA chipset is more competent for optical switching in reality, owing to its portable, energy-efficient, flexible, highly-transparent, and on-demand manipulating advantages. This work provides inspirations for self-cleaning greenhouse, tunable optics, intelligent vehicles, and so on.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Manufacturing and Logistics Optimization · Aerogels and thermal insulation · Modular Robots and Swarm Intelligence

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

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