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A review of proton exchange membrane fuel cell water management: Membrane electrode assembly
Q Liu, F Lan, J Chen, C Zeng, J Wang - Journal of Power Sources, 2022 - Elsevier
This review concentrated on proton exchange membrane fuel cell (PEMFC) water
management, which introduces the latest research contents and progresses on membrane …
management, which introduces the latest research contents and progresses on membrane …
In situ and operando characterization of proton exchange membrane fuel cells
For proton exchange membrane fuel cells (PEMFCs) to become a mainstream energy
source, significant improvements in their performance, durability, and efficiency are …
source, significant improvements in their performance, durability, and efficiency are …
Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning
Proton exchange membrane fuel cells, consuming hydrogen and oxygen to generate clean
electricity and water, suffer acute liquid water challenges. Accurate liquid water modelling is …
electricity and water, suffer acute liquid water challenges. Accurate liquid water modelling is …
Developments in X-ray tomography characterization for electrochemical devices
Over the last century, X-ray imaging instruments and their accompanying tomographic
reconstruction algorithms have developed considerably. With improved tomogram quality …
reconstruction algorithms have developed considerably. With improved tomogram quality …
Analysis of representative elementary volume and through-plane regional characteristics of carbon-fiber papers: diffusivity, permeability and electrical/thermal …
Understanding the transport processes that occur in carbon-fiber papers (CFPs) used in fuel
cells, electrolyzers, and metal-air/redox flow batteries is necessary to help predict cell …
cells, electrolyzers, and metal-air/redox flow batteries is necessary to help predict cell …
Neural network based process coupling and parameter upscaling in reactive transport simulations
The multiscale modelling of geochemical processes requires efficient couplings between
scales and physics. The use of machine learning techniques and neural networks has the …
scales and physics. The use of machine learning techniques and neural networks has the …
Two-phase flow in compressed gas diffusion layer: Finite element and volume of fluid modeling
In this study, a stochastic model is used to reconstruct the uncompressed gas diffusion layer
(GDL) microstructures. Subsequently, the finite element method (FEM) is conducted for …
(GDL) microstructures. Subsequently, the finite element method (FEM) is conducted for …
Numerical study of the impact of the channel shape on microchannel boiling heat transfer
Flow boiling in multi-microchannel evaporators is recognised as one of the most efficient
cooling solutions for high-performance electronics, and has therefore received increasing …
cooling solutions for high-performance electronics, and has therefore received increasing …
[HTML][HTML] Pore-level multiphase simulations of realistic distillation membranes for water desalination
Membrane distillation (MD) is a thermally driven separation process that is operated below
boiling point. Since the performance of MD modules is still comparatively low, current …
boiling point. Since the performance of MD modules is still comparatively low, current …
Experimental parameter uncertainty in proton exchange membrane fuel cell modeling. Part I: Scatter in material parameterization
R Vetter, JO Schumacher - Journal of Power Sources, 2019 - Elsevier
Ever since modeling has become a mature part of proton exchange membrane fuel cell
(PEMFC) research and development, it has been plagued by significant uncertainty lying in …
(PEMFC) research and development, it has been plagued by significant uncertainty lying in …