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An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles
Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - Ångström, Inorganic Chemistry. Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - Ångström, Physical Chemistry. Helmholtz Zentrum Berlin Mat & Energie GmbH, Young Investigator Grp Hybrid Mat Format & Scalin, Berlin, Germany.ORCID iD: 0000-0002-4317-2879
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Materials Science and Engineering, Solar Cell Technology.ORCID iD: 0000-0002-2402-5427
KTH Royal Inst Technol, Dept Chem, Div Appl Phys Chem, Stockholm, Sweden.ORCID iD: 0000-0003-1671-9979
Friedrich Schiller Univ Jena, Ctr Energy & Environm Chem Jena, Jena, Germany.;Friedrich Schiller Univ Jena, Lab Organ & Macromol Chem IOMC, Jena, Germany.ORCID iD: 0000-0001-8984-1663
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2022 (English)In: Nature Energy, E-ISSN 2058-7546, Vol. 7, no 1, p. 107-115Article in journal (Refereed) Published
Abstract [en]

Making large datasets findable, accessible, interoperable and reusable could accelerate technology development. Now, Jacobsson et al. present an approach to build an open-access database and analysis tool for perovskite solar cells. 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
NATURE PORTFOLIO , 2022. Vol. 7, no 1, p. 107-115
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Materials Chemistry
Identifiers
URN: urn:nbn:se:uu:diva-470068DOI: 10.1038/s41560-021-00941-3ISI: 000729687900004OAI: oai:DiVA.org:uu-470068DiVA, id: diva2:1649904
Funder
EU, Horizon 2020, 841386EU, Horizon 2020, 795079EU, Horizon 2020, 840751Swedish Research Council, 2019-05591Swedish Energy Agency, 2020-005194Available from: 2022-04-05 Created: 2022-04-05 Last updated: 2024-06-11Bibliographically approved

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Jacobsson, T. JesperHultqvist, AdamGarcía-Fernández, AlbertoVijayan, AnujaBoschloo, GerritMichaels, HannesWu, HuaBenesperi, IacopoBayrak Pehlivan, IlknurWang, JunXinEdvinsson, Tomas

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Jacobsson, T. JesperHultqvist, AdamGarcía-Fernández, AlbertoAnand, AmanAl-Ashouri, AmranCrovetto, AndreaVijayan, AnujaBoschloo, GerritParamasivam, GopinathMichaels, HannesWu, HuaBenesperi, IacopoBayrak Pehlivan, IlknurWang, JunXinKedia, MayankEdvinsson, Tomas
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Inorganic ChemistryPhysical ChemistrySolar Cell TechnologySolid State Physics
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