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Journal article : Review

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.
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1038/s41560-021-00941-3

Authors



Publisher:
Springer Nature
Journal:
Nature Energy More from this journal
Volume:
7
Issue:
1
Pages:
107-115
Publication date:
2021-12-13
Acceptance date:
2021-10-19
DOI:
EISSN:
2058-7546


Language:
English
Keywords:
Subtype:
Review
Pubs id:
1230803
Local pid:
pubs:1230803
Deposit date:
2023-04-05

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