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Datasets and Code: Revealing the Role of Redox Reaction Selectivity and Mass Transfer in Current–Voltage Predictions for Ensembles of Photocatalysts

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/13800068
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Raw datasets (.mat and .fig files) and codes (.mlx and .m files) used in our manuscript of the same title.  Figure numbers correspond with the figure numbers in the corresponding  manuscript. Figure 4: Effects of kinetic parameters on Solar-to-chemical (STC) efficiencies and reaction selectivity Figure 5: Solar-to-chemical (STC) efficiencies for a model incorporating competing undesired redox reactions implemented for different redox shuttle pairs Figure 7: Solar-to-chemical efficiencies for an ensemble of light absorbers Figure 8: Maximum solar-to-chemical (STC) efficiencies and corresponding number of light absorbers as a function of asymmetry factors in limiting current density for redox shuttle reduction Figure 9: Solar-to-chemical efficiencies for an increasing number of light absorbers for different total absorptance values (99%, 75%, 50%). Figure 10: Qualitative comparisons between experimental measurements and model predictions for a photocatalytic suspension reactor The main piece of the code developed is provided as an interactive .mlx file; not all subfunction calls within the main code is included, and can be shared upon reasonable request via email from the lead (luisab@umich.edu) and the corresponding authors (rbchan@umich.edu) of this paper.
创建时间:
2024-10-15
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