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

T. Jesper Jacobsson, Adam Hultqvist, Alberto Garcia-Fernandez, 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 GirolamoDonglin Jia, Elena Avila, Emilio J. Juarez-Perez, Fanny Baumann, Florian Mathies, G. S. Anaya Gonzalez, Gerrit Boschloo, Giuseppe Nasti, Gopinath Paramasivam, Guillermo Martinez-Denegri, Hampus Nasstrom, Hannes Michaels, Hans Kobler, 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. Jeronimo-Rendon, Juan Felipe Montoya, Juan-Pablo Correa-Baena, Junming Qiu, Junxin Wang, Kari Sveinbjornsson, 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 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. Schroeder, Wolfgang Tress, Xiaoliang Zhang, Yu-Hsien Chiang, Zafar Iqbal, Zhiqiang Xie, Eva Unger

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

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.
Original languageEnglish (US)
JournalNATURE ENERGY
DOIs
StatePublished - Dec 13 2021

Bibliographical note

KAUST Repository Item: Exported on 2022-01-28
Acknowledgements: The core funding of the project has been received from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 787289. We acknowledge MaterialsZone (https://www.materials.zone/) for technical assistance and for hosting the project’s cloud resources. We acknowledge Helmholtz-Zentrum Berlin für Materialien und Energie for guaranteeing economic and technical support for keeping the project online for the next decade. We acknowledge the following sources for individual funding. Cambridge India Ramanujan Scholarship, China Scholarship Council, Deutscher Akademischer Austauschdienst (DAAD), EPSRC (grant no. EP/ S009213/1), European Union’s Horizon 2020 research and innovation programme (grant no. 764787, EU Project ‘MAESTRO’), (grant no. 756962, ERC Project ‘HYPERION’), (grant no. 764047, EU Project ‘ESPResSo’ and grant no. 850937), GCRF/EPSRC SUNRISE (EP/P032591/1), German Federal Ministry for Education and Research (BMBF), HyPerFORME, NanoMatFutur (grant no. 03XP0091). PEROSEED (ZT-0024), Helmholtz Energy Materials Foundry, The Helmholtz Innovation Laboratory HySPRINT. BMBF (grant nos. 03SF0540, 03SF0557A), HyPerCells graduate school, Helmholtz Association, Helmholtz International Research School (HI-SCORE), the Erasmus programme (CDT-PV, grant no. EP/L01551X/1), the European Union’s Horizon 2020 research and innovation programme (Marie Skłodowska-Curie grant agreement nos. 841386, 795079 and 840751), Royal Society University Research Fellowship (grant no. UF150033). SNaPSHoTs (BMBF), SPARC II, German Research Foundation (DFG, grant no. SPP2196), The National Natural Science Foundation of China (grant no. 51872014), the Recruitment Programme of Global Experts, Fundamental Research Funds for the Central Universities and the ‘111’ project (grant no. B17002), the US Department of Energy’s Office of Energy Efficiency and Renewable Energy under Solar Energy Technologies Office (SETO) agreement no. DE-EE0008551, the Colombia Scientific Programme in the framework of the call Ecosistema Cientifí ontract no. FP44842-218-2018), the committee for the development of research (CODI) of the Universidad de Antioquia (grant no. 2017-16000), Spanish MINECO (Severo Ochoa programme, grant no. SEV-2015-0522), the Swedish research council (VR, grant no. 2019-05591) and the Swedish Energy Agency (grant no. 2020-005194).

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