An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles
Authors
Hagfeldt, A
Abate, A
Vijayan, A
Anderson, AY
Darwich, BP
Yang, B
Perini, CAR
Rehermann, C
Di Girolamo, D
Jia, D
Avila, E
González, GSA
Boschloo, G
Nasti, G
Martínez-Denegri, G
Wu, H
Benesperi, I
Bayrak Pehlivan, I
Vagott, JN
Dagar, J
Yang, J
Li, J
Smith, JA
Pascual, J
Jerónimo-Rendón, JJ
Qiu, J
Hirselandt, K
Dey, K
Mathies, L
Castriotta, LA
Aldamasy, MH
Ruiz-Preciado, MA
Veldhoen, M
Arora, N
Maus, O
Game, OS
Yudilevich, O
Fassl, P
Zhou, Q
Betancur, R
Munir, R
Patidar, R
Alam, S
Abzieher, T
Zia, W
Fu, W
Zuo, W
Schröder, VRF
Tress, W
Iqbal, Z
Xie, Z
Publication Date
2022Journal Title
Nature Energy
ISSN
2058-7546
Publisher
Springer Science and Business Media LLC
Volume
7
Issue
1
Pages
107-115
Language
en
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Jacobsson, T., Hultqvist, A., García-Fernández, A., Anand, A., Al-Ashouri, A., Hagfeldt, A., Crovetto, A., et al. (2022). An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles. Nature Energy, 7 (1), 107-115. https://doi.org/10.1038/s41560-021-00941-3
Abstract
<jats:title>Abstract</jats:title><jats:p>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.</jats:p>
Keywords
Resource, /639/301/299/946, /639/4077/909/4101/4096/946, resource
Sponsorship
Engineering and Physical Sciences Research Council (EP/L01551X/1)
European Research Council (756962)
Engineering and Physical Sciences Research Council (EP/P032591/1)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (841386)
Identifiers
s41560-021-00941-3, 941
External DOI: https://doi.org/10.1038/s41560-021-00941-3
This record's URL: https://www.repository.cam.ac.uk/handle/1810/333421
Rights
Licence:
http://creativecommons.org/licenses/by/4.0/
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