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Yubiao Sun

Researcher at University of Queensland

Publications -  36
Citations -  1283

Yubiao Sun is an academic researcher from University of Queensland. The author has contributed to research in topics: Cooling tower & Coordination polymer. The author has an hindex of 17, co-authored 28 publications receiving 1034 citations. Previous affiliations of Yubiao Sun include The Chinese University of Hong Kong & National University of Singapore.

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Hydrogen Storage in Metal-Organic Frameworks

TL;DR: In this paper, different methods used for the synthesis of metal organic frameworks, the relationship between structural features and hydrogen adsorption, the strategies for hydrogen uptake improvement as well as the molecular simulation.
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Recent progress in the preparation of polyaniline nanostructures and their applications in anticorrosive coatings

TL;DR: In this paper, the synthesis, growth mechanisms and corrosion application with different resin coatings of PANI-based nano-composites are reviewed, highlighting the failures of corrosion protection and methods and suggestions to improve it.
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Chemical Modifications of Chitosan and Its Applications

TL;DR: This review presents chemical modifications of chitosan via using photosensitizers, dendrimers, sugars, cyclodextrins and crown ethers as modifiers and places an emphasis on the applications of ch itosan derivatives as carriers in drug delivery systems, as supporting materials for tissue engineering, as dye removing agents and as metal ion adsorbents.
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Investigation on the influence of injection direction on the spray cooling performance in natural draft dry cooling tower

TL;DR: In this paper, a spray of controlled and small quantity of fine water droplets is used to cool the inlet air and thus improve the cooling tower performance when ambient temperature is high.
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A review on the performance evaluation of natural draft dry cooling towers and possible improvements via inlet air spray cooling

TL;DR: In this paper, inlet air spray-cooling is introduced to improve the performance of NDDCT in hot summer days to reduce power generation loss under high-ambient air temperature conditions, and the mathematical models correlating the cooling tower performance with the droplet evaporation process are used to predict the spray cooling performance.