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Jian Zhao

Researcher at University of Waterloo

Publications -  40
Citations -  1498

Jian Zhao is an academic researcher from University of Waterloo. The author has contributed to research in topics: Proton exchange membrane fuel cell & Electrolyte. The author has an hindex of 16, co-authored 30 publications receiving 844 citations. Previous affiliations of Jian Zhao include Tianjin University & Dalian University of Technology.

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A review of waste heat recovery on two-stroke IC engine aboard ships

TL;DR: In this paper, the authors provide a better understanding of the options available for waste heat recovery and using in various applications onboard ocean-going ships to improve fuel economy and environmental compliance.
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A review of polymer electrolyte membrane fuel cell durability for vehicular applications: Degradation modes and experimental techniques

TL;DR: In this article, the degradation modes of PEM fuel cells are comprehensively reviewed and analyzed, and the potential causes of degradation are described. And the experimental results with a focus on degradation modes, degradation rate, and test time have been reported.
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Parametric and exergetic analysis of waste heat recovery system based on thermoelectric generator and organic rankine cycle utilizing R123

TL;DR: In this article, the authors analyzed the combined TEG-ORC (thermoelectric generator and organic rankine cycle) used in exhaust heat recovery of ICE (internal combustion engine) theoretically.
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A review of membranes in proton exchange membrane fuel cells: Transport phenomena, performance and durability

TL;DR: In this article, a detailed examination of the transport mechanisms within the membranes, including transport mechanisms, mathematical description, and experimental methods, is conducted for protonic conduction, electro-osmosis drag, diffusion, hydraulic permeation, and gas crossover, which are urgently needed for theoretical and numerical studies.
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Safety of Autonomous Vehicles

TL;DR: In this paper, the levels of automation are reviewed according to the role of the automated system in the autonomous driving process, which will affect the frequency of the disengagements and accidents when driving in autonomous modes.