An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Abstract

Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.

An efficient Buchwald–Hartwig amination protocol enables the synthesis of new branched and polymeric hole transport materials for perovskite solar cells

“…PV cells based on the very same PVK phase can give PCEs in the 12-20% range according to a recent literature survey. 29 The average PCE value of 14.6% that we obtained for cells prepared with commercial Spiro-OMeTAD corresponds to the vast majority of reported PCEs for this class of PCSs. We thus assume our reference value to be meaningful for the comparative ranking of the HTL performances of the newly synthesized materials.…”

Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness

“…In the landscape of data-driven business, several applications share important properties with document conversion. One such case is automated knowledge-base construction, where several data processing pipelines have been developed for extraction, normalization, and analysis of knowledge [26], often targeting specific domains like material sciences, geology, or biomedicine [27]- [31]. They commonly process complex or unstructured input data in bulk (e.g., literature, experiment reports, and instrument data), employ machine-learning (e.g., language understanding), and often require complex dynamic pipelines.…”

Molecular engineering of several butterfly-shaped hole transport materials containing dibenzo[b,d]thiophene core for perovskite photovoltaics

“…Global energy consumption is predicted to be doubled by 2050, owing to fast population and economic expansion 1 , 2 . On the other hand, adverse effects of increasing global warming on mankind and the universal biosphere necessitate immediate emission reductions 3 – 5 .…”