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Ruiwang Zuo

As seen in: Cell Reports Physical Science
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Articles

Designing a porous catalyst support to enhance mass transfer for fuel cells using a data-driven pore-scale modeling framework

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By Xing LI, Linhao Fan, Zhichao Gong, Lei Xing, Jin Xuan, Zhiming Bao, Siyuan Wu, Yuan Wang, Kui Jiao, Ruiwang Zuo
| Cell Reports Physical Science Verified
Keywords fuel cell porous carbon mass transfer lattice Boltzmann method machine learning Introduction Hydrogen energy, as a promising type of renewable energy, plays a significant role in achieving net-zero carbon emissions.1 Proton exchange membrane fuel cells (PEMFCs) can efficiently convert hydrogen energy into electric energy2 and have been applied widely in many fields due to their advantages of high power density, rapid response, and low-temperature operation.3 Currently, challenges...
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