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Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles
Authors: Jacobsson, T. Jesper
Hultqvist, Adam
García-Fernández, Alberto
Anand, Aman
Al-Ashouri, Amran
Hagfeldt, Anders
Crovetto, Andrea
Abate, Antonio
Ricciardulli, Antonio Gaetano
Vijayan, Anuja
Kulkarni, Ashish
Anderson, Assaf Y.
Darwich, Barbara Primera
Yang, Bowen
Coles, Brendan L.
Perini, Carlo A. R.
Rehermann, Carolin
Ramirez, Daniel
Fairen-Jimenez, David
Di Girolamo, Diego
Jia, Donglin
Avila, Elena
Juarez-Perez, Emilio J.
Baumann, Fanny
Mathies, Florian
González, G. S. Anaya
Boschloo, Gerrit
Nasti, Giuseppe
Paramasivam, Gopinath
Martínez-Denegri, Guillermo
Näsström, Hampus
Michaels, Hannes
Köbler, Hans
Wu, Hua
Benesperi, Iacopo
Dar, M. Ibrahim
Bayrak Pehlivan, Ilknur
Gould, Isaac E.
Vagott, Jacob N.
Dagar, Janardan
Kettle, Jeff
Yang, Jie
Li, Jinzhao
Smith, Joel A.
Pascual, Jorge
Jerónimo-Rendón, Jose J.
Montoya, Juan Felipe
Correa-Baena, Juan-Pablo
Qiu, Junming
Wang, Junxin
Sveinbjörnsson, Kári
Hirselandt, Katrin
Dey, Krishanu
Frohna, Kyle
Mathies, Lena
Castriotta, Luigi A.
Aldamasy, Mahmoud. H.
Vasquez-Montoya, Manuel
Ruiz-Preciado, Marco A.
Flatken, Marion A.
Khenkin, Mark V.
Grischek, Max
Kedia, Mayank
Saliba, Michael
Anaya, Miguel
Veldhoen, Misha
Arora, Neha
Shargaieva, Oleksandra
Maus, Oliver
Game, Onkar S.
Yudilevich, Ori
Fassl, Paul
Zhou, Qisen
Betancur, Rafael
Munir, Rahim
Patidar, Rahul
Stranks, Samuel D.
Alam, Shahidul
Kar, Shaoni
Unold, Thomas
Abzieher, Tobias
Edvinsson, Tomas
David, Tudur Wyn
Paetzold, Ulrich W.
Zia, Waqas
Fu, Weifei
Zuo, Weiwei
Schröder, Vincent R. F.
Tress, Wolfgang
Zhang, Xiaoliang
Chiang, Yu-Hsien
Iqbal, Zafar
Xie, Zhiqiang
Unger, Eva
et. al: No
DOI: 10.1038/s41560-021-00941-3
Published in: Nature Energy
Volume(Issue): 7
Page(s): 107
Pages to: 115
Issue Date: 2021
Publisher / Ed. Institution: Nature Publishing Group
ISSN: 2058-7546
Language: English
Subject (DDC): 005: Computer programming, programs and data
621.3: Electrical, communications, control engineering
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.
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Appears in collections:Publikationen School of Engineering

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