Q
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.
Papers
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Journal ArticleDOI
Design of robust superhydrophobic surfaces
Dehui Wang,Qiangqiang Sun,Matti J. Hokkanen,Chenglin Zhang,Fan-Yen Lin,Qiang Liu,Shun-Peng Zhu,Tianfeng Zhou,Qing Chang,Bo He,Quan Zhou,Longquan Chen,Zuankai Wang,Robin H. A. Ras,Xu Deng +14 more
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.
Journal ArticleDOI
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
Zhe-Qin Dong,Zhe-Qin Dong,Martin F. Schumann,Matti J. Hokkanen,Bo Chang,Bo Chang,Alexander Welle,Quan Zhou,Robin H. A. Ras,Zhen-Liang Xu,Martin Wegener,Pavel A. Levkin +11 more
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.
Journal ArticleDOI
Mapping microscale wetting variations on biological and synthetic water-repellent surfaces.
Ville Liimatainen,Maja Vuckovac,Ville Jokinen,Veikko Sariola,Veikko Sariola,Matti J. Hokkanen,Quan Zhou,Robin H. A. Ras +7 more
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.