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Pore network simulations are performed to study water transport in a model gas diffusion layer (GDL) of polymer electrolyte membrane fuel cells (PEMFCs) in relation with the change in hydrophobicity that might be due to aging or temperature effect.
Toe modeld is further validated by a convergasce studiffusion confirms its first-order acrosscy.
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In order to characterize the influence of fractures, multiple fields, and the differences between organic matter and inorganic matter on the transport of shale gas, a weighted coefficient is used to couple the transition diffusion model and Knudsen diffusion model to establish a permeability model of gas diffusion that is suitable for any Knudsen number.
The major simulation models of gas diffusion, risk assessment, and dynamic evacuation routing compose the major steps of the evacuation simulation.
A modified Newtonian model incorporating gas diffusion was developed and compared with the experimental data.
The entire numerical framework includes two main parts: a random generation-growth method to reconstruct the digital microstructures of fibrous materials based on experimental statistical information of the actual structure, and then a high-efficiency lattice Boltzmann algorithm for modeling the gas diffusion process through porous structures.
The mathematical model of HT-PEMFC based on the electrochemical reaction model coupled with the diffusion model of a gas diffusion layer and electrolyte film layer is used for simulation studies.
A three-dimensional (3D) model of toxic gas diffusion was advanced based on Monte Carlo method with the presupposition that toxic gas diffusion process can be considered as random walk process of a large number of toxic gas particles.
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Justyna Jupowicz-Kozak
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