Static Cell Data - Evaluation of highly stable redox-active materials for aqueous organic redox flow batteries

This folder contains all data in Sosa, J.D., Aziz, M.J. Evaluation of highly stable redox-active materials for aqueous organic redox flow batteries using static cells. MRS Energy & Sustainability (2025). https://doi.org/10.1557/s43581-025-00140-7. All experiments were performed using a Biologic VSP-300 potentiostat. The EC-Lab software connected to the potentiostat generated raw data files that were then converted to .mpt files which can be easily read as text files. Raw data was accessed using a Python file, get_data.py. For calculating fade rates as an overall fade rate in %/day or %/cycle, data was analyzed using the analyze_data function in the Python file, process_plotter_function.py. Experiments that were used to create standard deviations in measured overall capacity fade rates are in the folder "Repeated_experiments_for_standard_deviations." Other than CC-CCCV analysis, all figures were generated in the Jupyter notebook, Manuscript_Figures.ipynb. Slight editing of figures was performed in a Powerpoint file, static_cell_figures.pptx. CC-CCCV analysis for cells at 40 degree C was performed in the Jupyter notebook, Fit_cycle_discretized.ipynb, for marginal capacity fade rates due to %/cycle (kn), and in Fit_current_discretized.ipynb for marginal capacity fade rates in kq. The CC-CCCV experiment for DPPEAQ at room temperature was analyzd in the Jupyter notebook, "Check_CCCV_DPPEAQ.ipynb." The experiments are in folders in this home folder. Other experiments of note are in the folder, "Other stuff."