Comparing device data reported from multiple sources requires that the various nuances of the experimental design space are accurately represented in a robust data format. Particularly, understanding the sensitivity of the process space is non-negotiable for the sake of reproducibility and accurate data representation. However, in contrast to the other entities in Figure , it is not straightforward to manifest a data structure that broadly represents the process history for the conjugated polymer layer. This is not only because the real-world process history is extremely complex, but also because the various events in a process history have an explicit order, and the events may not occur consistently across samples. For example, as discussed above, the solution processing procedure may include sequenced pre-treatment techniques to induce polymer aggregation in the solution state. This procedure may include multiple steps, and the ordering of those steps may affect the final film and properties (i.e., sonication then aging, or aging then sonication). The example above exemplifies a broader challenge in robustly handling information in both dynamic and nuanced ways in sample recipes.