Pathways to enhance electrochemical CO 2 reduction identified through direct pore-level modeling

作者：Evan F. Johnson, Etienne Boutin, Shuo Liu, Sophia Haussener · 发表于：EES Catalysis · 年份：2023 · DOI：10.1039/d3ey00122a · 被引用次数：32 · 研究领域：CO2 Reduction Techniques and Catalysts、Ionic liquids properties and applications、Machine Learning in Materials Science

CO 2 reduction in gas diffusion electrodes is modeled using direct numerical simulation, with species transport resolved in 2D throughout the catalyst layer, including steric effects. Modeling yields numerous ways to optimize GDE performance.