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 …

In situ and operando characterization of proton exchange membrane fuel cells

Q Meyer, Y Zeng, C Zhao - Advanced Materials, 2019 - Wiley Online Library
For proton exchange membrane fuel cells (PEMFCs) to become a mainstream energy
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

YD Wang, Q Meyer, K Tang, JE McClure… - Nature …, 2023 - nature.com
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 …

Developments in X-ray tomography characterization for electrochemical devices

TMM Heenan, C Tan, J Hack, DJL Brett, PR Shearing - Materials Today, 2019 - Elsevier
Over the last century, X-ray imaging instruments and their accompanying tomographic
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 …

PA García-Salaberri, IV Zenyuk, AD Shum… - International Journal of …, 2018 - Elsevier
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 …

Neural network based process coupling and parameter upscaling in reactive transport simulations

NI Prasianakis, R Haller, M Mahrous… - … et Cosmochimica Acta, 2020 - Elsevier
The multiscale modelling of geochemical processes requires efficient couplings between
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

X Zhou, Z Niu, Z Bao, J Wang, Z Liu, Y Yin, Q Du… - Journal of Power …, 2019 - Elsevier
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 …

Numerical study of the impact of the channel shape on microchannel boiling heat transfer

M Magnini, OK Matar - International Journal of Heat and Mass Transfer, 2020 - Elsevier
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 …

[HTML][HTML] Pore-level multiphase simulations of realistic distillation membranes for water desalination

T Jäger, A Mokos, NI Prasianakis, S Leyer - Membranes, 2022 - mdpi.com
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 …

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 …