An open-access database and analysis tool for perovskite solar cells based on the FAIR data principlesShow others and affiliations
2022 (English)In: Nature Energy, E-ISSN 2058-7546, Vol. 7, no 1, p. 107-115Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages
Springer Nature , 2022. Vol. 7, no 1, p. 107-115
Keywords [en]
Database systems, Digital storage, Large dataset, Open Data, Perovskite, Perovskite solar cells, ACCESS database, Analysis tools, Cell-based, Database tools, Device data, High throughput experiments, Large datasets, OpenAccess, Research data, Research fields, Metal halides, data processing, engineering, research, technology
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:kth:diva-313629DOI: 10.1038/s41560-021-00941-3ISI: 000729687900004Scopus ID: 2-s2.0-85121364579OAI: oai:DiVA.org:kth-313629DiVA, id: diva2:1666234
Note
QC 20220608
2022-06-082022-06-082023-12-04Bibliographically approved