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

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.

Metadata

Item Type:	Article
Authors/Creators:	Jacobsson, TJ Hultqvist, A García-Fernández, A Anand, A Al-Ashouri, A Hagfeldt, A Crovetto, A Abate, A Ricciardulli, AG Vijayan, A Kulkarni, A Anderson, AY Darwich, BP Yang, B Coles, BL Perini, CAR Rehermann, C Ramirez, D Fairen-Jimenez, D Di Girolamo, D Jia, D Avila, E Juarez-Perez, EJ Baumann, F Mathies, F González, GSA Boschloo, G Nasti, G Paramasivam, G Martínez-Denegri, G Näsström, H Michaels, H Köbler, H Wu, H Benesperi, I Dar, MI Bayrak Pehlivan, I Gould, IE Vagott, JN Dagar, J Kettle, J Yang, J Li, J Smith, JA Pascual, J Jerónimo-Rendón, JJ Montoya, JF Correa-Baena, J-P Qiu, J Wang, J Sveinbjörnsson, K Hirselandt, K Dey, K Frohna, K Mathies, L Castriotta, LA Aldamasy, MH Vasquez-Montoya, M Ruiz-Preciado, MA Flatken, MA Khenkin, MV Grischek, M Kedia, M Saliba, M Anaya, M Veldhoen, M Arora, N Shargaieva, O Maus, O Game, OS https://orcid.org/0000-0002-5573-3602 Yudilevich, O Fassl, P Zhou, Q Betancur, R Munir, R Patidar, R Stranks, SD Alam, S Kar, S Unold, T Abzieher, T Edvinsson, T David, TW Paetzold, UW Zia, W Fu, W Zuo, W Schröder, VRF Tress, W Zhang, X Chiang, Y-H Iqbal, Z Xie, Z Unger, E
Copyright, Publisher and Additional Information:	© The Author(s) 2021. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Dates:	Published: January 2022 Published (online): 13 December 2021 Accepted: 19 October 2021
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Science (Sheffield) > Department of Physics and Astronomy (Sheffield)
Funding Information:	Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/S009213/1
Depositing User:	Symplectic Sheffield
Date Deposited:	23 Feb 2022 10:43
Last Modified:	23 Feb 2022 10:45
Status:	Published
Publisher:	Springer Nature
Refereed:	Yes
Identification Number:	10.1038/s41560-021-00941-3
Related URLs:	Dataset
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:183945