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Yu-Bin Chen

Researcher at National Tsing Hua University

Publications -  81
Citations -  2211

Yu-Bin Chen is an academic researcher from National Tsing Hua University. The author has contributed to research in topics: Transmittance & Grating. The author has an hindex of 19, co-authored 76 publications receiving 1967 citations. Previous affiliations of Yu-Bin Chen include Georgia Institute of Technology & National Cheng Kung University.

Papers
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Silicon Nanowires for Solar Thermal Energy Harvesting: an Experimental Evaluation on the Trade-off Effects of the Spectral Optical Properties

TL;DR: The results showed that a 17.8 % increase in the harvest and utilization of solar thermal energy could be achieved using a silicon nanowire array on silicon substrate as compared to that obtained with a plain silicon wafer.
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Microscale radiation in thermophotovoltaic devices- : A review

TL;DR: In this paper, the authors reviewed the development of wavelength-selective emitters and filters and the aspects of microscale heat transfer as applied to thermophotovoltaic (TPV) systems.
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Design of tungsten complex gratings for thermophotovoltaic radiators

TL;DR: In this article, the concept of a kind of complex grating based on superposition of two simple binary gratings is described for potential application as thermophotovoltaic (TPV) radiators.
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Development of a polarization-insensitive thermophotovoltaic emitter with a binary grating

TL;DR: A hybrid scheme was able to finely tailor the grating profile such that emittance could be significantly enhanced in the near infrared region and is insensitive to the polarization and 5% dimension modification, making the emitter ideal for thermophotovoltaic applications.
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Development of mid-infrared surface plasmon resonance-based sensors with highly-doped silicon for biomedical and chemical applications

Yu-Bin Chen
- 02 Mar 2009 - 
TL;DR: Developed sensors utilizing surface plasmon resonance in the mid-infrared range could work well for a real target and show superiority in sensitivity over existing sensors.