Phys.org May 25, 2024
The current understanding of electric double layer (EDL) charging is limited to simple geometries. An international team of researchers (USA – University of Colorado, Poland) introduced a model to predict electrolyte transport in complex networks of slender pores. Their methodology accurately captures the spatial and temporal dependencies of charge density and electric potential, matching results obtained from computationally intensive direct numerical simulations. Their network model provided results up to six orders of magnitude faster. They used the framework to study the impact of pore connectivity and polydispersity on electrode charging dynamics for pore networks and discussed how these factors affected the time scale, energy density, and power density of capacitive charging. According to the researchers the scalability and versatility of their methodology make it a rational tool for designing 3D-printed electrodes and for interpreting geometric effects on electrode impedance spectroscopy measurements… read more. TECHNICAL ARTICLE
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