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.

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

Iacopo Benesperi;
2021-01-01

Abstract

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.
2021
7
1
107
115
T. Jesper Jacobsson; Adam Hultqvist; Alberto García-Fernández; Aman Anand; Amran Al-Ashouri; Anders Hagfeldt; Andrea Crovetto; Antonio Abate; Antonio Gaetano Ricciardulli; Anuja Vijayan; Ashish Kulkarni; Assaf Y. Anderson; Barbara Primera Darwich; Bowen Yang; Brendan L. Coles; Carlo A. R. Perini; Carolin Rehermann; Daniel Ramirez; David Fairen-Jimenez; Diego Di Girolamo; Donglin Jia; Elena Avila; Emilio J. Juarez-Perez; Fanny Baumann; Florian Mathies; G. S. Anaya González; Gerrit Boschloo; Giuseppe Nasti; Gopinath Paramasivam; Guillermo Martínez-Denegri; Hampus Näsström; Hannes Michaels; Hans Köbler; Hua Wu; Iacopo Benesperi; M. Ibrahim Dar; Ilknur Bayrak Pehlivan; Isaac E. Gould; Jacob N. Vagott; Janardan Dagar; Jeff Kettle; Jie Yang; Jinzhao Li; Joel A. Smith; Jorge Pascual; Jose J. Jerónimo-Rendón; Juan Felipe Montoya; Juan-Pablo Correa-Baena; Junming Qiu; Junxin Wang; Kári Sveinbjörnsson; Katrin Hirselandt; Krishanu Dey; Kyle Frohna; Lena Mathies; Luigi A. Castriotta; Mahmoud. H. Aldamasy; Manuel Vasquez-Montoya; Marco A. Ruiz-Preciado; Marion A. Flatken; Mark V. Khenkin; Max Grischek; Mayank Kedia; Michael Saliba; Miguel Anaya; Misha Veldhoen; Neha Arora; Oleksandra Shargaieva; Oliver Maus; Onkar S. Game; Ori Yudilevich; Paul Fassl; Qisen Zhou; Rafael Betancur; Rahim Munir; Rahul Patidar; Samuel D. Stranks; Shahidul Alam; Shaoni Kar; Thomas Unold; Tobias Abzieher; Tomas Edvinsson; Tudur Wyn David; Ulrich W. Paetzold; Waqas Zia; Weifei Fu; Weiwei Zuo; Vincent R. F. Schröder; Wolfgang Tress; Xiaoliang Zhang; Yu-Hsien Chiang; Zafar Iqbal; Zhiqiang Xie; Eva Unger
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1887476
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