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Scalability and stability in CO2 reduction via tomography-guided system design
Electrocatalytic CO 2 reduction offers a means to produce value-added multi-carbon
products and mitigate CO 2 emissions. However, the stability of CO 2 electrolyzers for C 2+ …
products and mitigate CO 2 emissions. However, the stability of CO 2 electrolyzers for C 2+ …
A review on continuum modeling of membrane electrode assembly for CO2 electrocatalytic reduction
T Wang, S Wei, Y Zhao, Z **ong, J Zhang, J Liu… - International Journal of …, 2025 - Elsevier
The electrocatalytic reduction of carbon dioxide (eCO 2 RR) presents significant potential for
mitigating global carbon emissions. Membrane electrode assembly (MEA) exhibits industrial …
mitigating global carbon emissions. Membrane electrode assembly (MEA) exhibits industrial …
[HTML][HTML] Enhancement of bubble transport in porous electrodes and catalysts
We investigate the formation and transport of gas bubbles across a model porous
electrode/catalyst using lattice Boltzmann simulations. This approach enables us to …
electrode/catalyst using lattice Boltzmann simulations. This approach enables us to …
Effect of electrolyte level on performance and mass transfer of non-aqueous lithium-oxygen battery
T Zhang, H Sun, X Zhang, X Wang, J Li, Q Li - Journal of Power Sources, 2024 - Elsevier
To accurately reveal the effect of electrolyte content on mass transfer within lithium-oxygen
batteries and their discharge performance, this study utilizes computed tomography (CT) …
batteries and their discharge performance, this study utilizes computed tomography (CT) …
[PDF][PDF] A journey from mechanistic to data-driven models in process engineering: dimensionality reduction, surrogate and hybrid approaches, and digital twins
K Bizon - Chemical and Process Engineering: New Frontiers, 2023 - journals.pan.pl
The study examines various approaches oriented towards conceptual and numerical
reduction of first-principle models, data-driven methodologies for surrogate (black box) and …
reduction of first-principle models, data-driven methodologies for surrogate (black box) and …
[PDF][PDF] AI-Enhanced Multi-Scale Smart Systems for Decarbonization in the Chemical Industry: A Pathway to Sustainable and Efficient Production
In the quest for sustainability, decarbonizing the energy-intensive chemical industry
emerges as a pivotal challenge in recent years. This article investigates decarbonization …
emerges as a pivotal challenge in recent years. This article investigates decarbonization …