A typical use case could be someone starting a project on a particular fabrication method, for example, slot-die coating. In the Perovskite Database, one simple command filters out the data for all available devices with slot-die-coated perovskites. Those data can be obtained in tabular form and downloaded with a click that gives an entry point to the key literature for further exploration. Once the relevant subset of data is obtained, it can be separated with respect to any of the dimensions represented in the database. To mention a few examples, these can be the perovskite doping conditions, the use of flexible substrates or, as shown in Fig. 3c, the solvent system used during the deposition of the perovskite. This represents a complex literature search that previously required a substantial amount of non-trivial work, but which can now be accomplished and visualized in a few minutes. With this insight at hand, it is just as easy to go on and explore additional questions, such as what is the importance of the annealing temperature, the choice of hole conductor, the antisolvent or to what extent does the perovskite composition influence the key performance metrics of the device? This illustrates a powerful short-cut towards extracting the historical data relevant for a project, for generating new hypotheses, for finding unexplored areas, for knowledge transfer and for acquiring insights otherwise easily overlooked.
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