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Quan Zhou

Researcher at Aalto University

Publications -  172
Citations -  3030

Quan Zhou is an academic researcher from Aalto University. The author has contributed to research in topics: Engineering & Wetting. The author has an hindex of 21, co-authored 145 publications receiving 1774 citations. Previous affiliations of Quan Zhou include Northwestern Polytechnical University & Tampere University of Technology.

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Design of robust superhydrophobic surfaces

TL;DR: It is suggested that this transparent, mechanically robust, self-cleaning glass could help to negate the dust-contamination issue that leads to a loss of efficiency in solar cells and could also guide the development of other materials that need to retain effective self- Cleaning, anti-fouling or heat-transfer abilities in harsh operating environments.
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Folo: Latency and Quality Optimized Task Allocation in Vehicular Fog Computing

TL;DR: This paper proposes Folo, a novel solution for latency and quality optimized task allocation in vehicular fog computing (VFC), and proposes an event-triggered dynamic task allocation framework using linear programming-based optimization and binary particle swarm optimization.
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Superoleophobic Slippery Lubricant-Infused Surfaces: Combining Two Extremes in the Same Surface

TL;DR: This novel interface combining two extremes, superoleophobicity and slippery lubricant-infused surface, is of importance for designing superoleophobic and superhydrophobic surfaces with advanced liquid repellent, anti-icing, or anti-fouling properties.
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Hybrid Microassembly Combining Robotics and Water Droplet Self-Alignment

TL;DR: An in-depth study of a hybrid microassembly technique that combines a robotic micromanipulator and a water droplet self-alignment, which greatly improves the performance of robotic microassembly and shows that parts of different sizes can be reliably assembled together using the proposed method.
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Mapping microscale wetting variations on biological and synthetic water-repellent surfaces.

TL;DR: Using scanning droplet adhesion microscopy to create wetting maps that visualize variations in wettability with a spatial resolution down to 10 μm, which reveals wetting heterogeneity of micropillared model surfaces previously assumed to be uniform.