Datasets and Code: Revealing the Role of Redox Reaction Selectivity and Mass Transfer in Current–Voltage Predictions for Ensembles of Photocatalysts
<ul> <li>Raw datasets (.mat and .fig files) and codes (.mlx and .m files) used in our manuscript of the same title. </li> <li>Figure numbers correspond with the figure numbers in the corresponding manuscript. <ul> <li>Figure 4: Effects of kinetic parameters on Solar-to-chemical (STC) efficiencies and reaction selectivity</li> <li>Figure 5: Solar-to-chemical (STC) efficiencies for a model incorporating competing undesired redox reactions implemented for different redox shuttle pairs</li> <li>Figure 7: Solar-to-chemical efficiencies for an ensemble of light absorbers</li> <li>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</li> <li>Figure 9: Solar-to-chemical efficiencies for an increasing number of light absorbers for different total absorptance values (99%, 75%, 50%).</li> <li>Figure 10: Qualitative comparisons between experimental measurements and model predictions for a photocatalytic suspension reactor</li> </ul> </li> <li>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. </li> </ul> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0