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

Jacobsson T.J. ; Hultqvist A. ; García-Fernández A. ; Anand A. ; Al-Ashouri A. ; Hagfeldt A. ; Crovetto A. ; Abate A. ; Ricciardulli A.G. ; Vijayan A. ; Kulkarni A. ; Anderson A.Y. ; Darwich B.P. ; Yang B. ; Coles B.L. ; Perini C.A.R. ; Rehermann C. ; Ramirez D. ; Fairen-Jimenez D. ; Di Girolamo D. ; Jia D. ; Avila E. ; Juarez-Perez E.J. ; Baumann F. ; Mathies F. ; González G.S.A. ; Boschloo G. ; Nasti G. ; Paramasivam G. ; Martínez-Denegri G. ; Näsström H. ; Michaels H. ; Köbler H. ; Wu H. ; Benesperi I. ; Dar M.I. ; Bayrak Pehlivan I. ; Gould I.E. ; Vagott J.N. ; Dagar J. ; Kettle J. ; Yang J. ; Li J. ; Smith J.A. ; Pascual J. ; Jerónimo-Rendón J.J. ; Montoya J.F. ; Correa-Baena J.-P. ; Qiu J. ; Wang J. ; Sveinbjörnsson K. ; Hirselandt K. ; Dey K. ; Frohna K. ; Mathies L. ; Castriotta L.A. ; Aldamasy M.H. ; Vasquez-Montoya M. ; Ruiz-Preciado M.A. ; Flatken M.A. ; Khenkin M.V. ; Grischek M. ; Kedia M. ; Saliba M. ; Anaya M. ; Veldhoen M. ; Arora N. ; Shargaieva O. ; Maus O. ; Game O.S. ; Yudilevich O. ; Fassl P. ; Zhou Q. ; Betancur R. ; Munir R. ; Patidar R. ; Stranks S.D. ; Alam S. ; Kar S. ; Unold T. ; Abzieher T. ; Edvinsson T. ; David T.W. ; Paetzold U.W. ; Zia W. ; Fu W. ; Zuo W. ; Schröder V.R.F. ; Tress W. ; Zhang X. ; Chiang Y.-H. ; Iqbal Z. ; Xie Z. ; Unger E.

Resumen: 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. © 2021, The Author(s).

Idioma: Inglés

DOI: 10.1038/s41560-021-00941-3

Año: 2022

Publicado en: Nature Energy 7 (2022), 107-115
ISSN: 2058-7546

Factor impacto JCR: 56.7 (2022)

Categ. JCR: MATERIALS SCIENCE, MULTIDISCIPLINARY rank: 2 / 343 = 0.006 (2022) - Q1 - T1
Categ. JCR: ENERGY & FUELS rank: 1 / 119 = 0.008 (2022) - Q1 - T1

Factor impacto CITESCORE: 81.6 - Energy (Q1) - Materials Science (Q1)

Factor impacto SCIMAGO: 19.588 - Electronic, Optical and Magnetic Materials (Q1) - Renewable Energy, Sustainability and the Environment (Q1) - Fuel Technology (Q1) - Energy Engineering and Power Technology (Q1)

Financiación: info:eu-repo/grantAgreement/EC/H2020/764047/EU/Efficient Structures and Processes for Reliable Perovskite Solar Modules/ESPResSo
Financiación: info:eu-repo/grantAgreement/EC/H2020/787289/EU/Fostering a Next Generation of European Photovoltaic Society through Open Science/GRECO

Tipo y forma: Article (Published version)