Fig. 5: The influence of the ensemble effect on the performance of Li | |S pouch cell. | Nature Communications

Fig. 5: The influence of the ensemble effect on the performance of Li | |S pouch cell.

From: Machine learning-based design of electrocatalytic materials towards high-energy lithium||sulfur batteries development

Fig. 5

a–c FEM simulation results with and without the ensemble effect of (a) the sum of polysulfides (Li2S8-Li2S2) concentrations evolution at different electrolyte locations throughout the discharge process, b negative electrode corrosion depth evolution from 50% to 100% depth of discharge (DOD), and c active sulfur utilization distribution at different distance from separator and corresponding Li2S deposition morphology at end of discharge. d Photograph of the Li | |S pouch cell. e, f Discharge-charge profiles (e) and cycle performance (f) of the Li | |S pouch cell. g State-of-the-art performance of high-energy-density Li | |S pouch cells (over 300 Wh kg−1) in published literature and this work. h Performance comparison between this work and previously reported Li | |S pouch cells (N/P ratio: negative/positive, indicating anode to cathode capacity ratio).

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