An Open-Access Database and Analysis Tool for Perovskite Solar Cells Based on the FAIR Data Principles

T. Jacobsson; Adam Hultqvist; Alberto Garcia-Fernandez; Aman Anand; Amran Al-Ashouri; Anders Hagfeldt; Andrea Crovetto; Antonio Abate; Antonio Ricciardulli; Anuja Vijayan; Ashish Kulkarni; Assaf Anderson; Barbara Darwich; Bowen Yang; Brendan Coles; Carlo Perini; Carolin Rehermann; Daniel Ramirez; David Fairen-Jimenez; Diego Girolamo; Donglin Jia; Elena Avila; Emilio Juarez-Perez; Fanny Baumann; Florian Mathies; G. S. Gonzalez; Gerrit Boschloo; Giuseppe Nasti; Gopinath Paramasivam; Guillermo Martinez-Denegri; Hampus Nasstrom; Hannes Michaels; Hans Kobler; Hua Wu; Iacopo Benesperi; M. Dar; Ilknur Pehlivan; Isaac Gould; Jacob Vagott; Janardan Dagar; Jeff Kettle; Jie Yang; Jinzhao Li; Joel Smith; Jorge Pascual; Jose Jeronimo-Rendon; Juan Montoya; Juan-Pablo Correa-Baena; Junming Qiu; Junxin Wang; Kari Sveinbjornsson; Katrin Hirselandt; Krishanu Dey; Kyle Frohna; Lena Mathies; Luigi Castriotta; Mahmoud Aldamasy; Manuel Vasquez-Montoya; Marco Ruiz-Preciado; Marion Flatken; Mark Khenkin; Max Grischek; Mayank Kedia; Michael Saliba; Miguel Anaya; Misha Veldhoen; Neha Arora; Oleksandra Shargaieva; Oliver Maus; Onkar Game; Ori Yudilevich; Paul Fassl; Qisen Zhou; Rafael Betancur; Rahim Munir; Rahul Patidar; Samuel Stranks; Shahidul Alam; Shaoni Kar; Thomas Unold; Tobias Abzieher; Tomas Edvinsson; Tudur David; Ulrich Paetzold; Waqas Zia; Weifei Fu; Weiwei Zuo; Vincent Schroder; Wolfgang Tress; Xiaoliang Zhang; Yu-Hsien Chiang; Zafar Iqbal; Zhiqiang Xie; Eva Unger

doi:10.1038/s41560-021-00941-3

An Open-Access Database and Analysis Tool for Perovskite Solar Cells Based on the FAIR Data Principles

T. Jacobsson
, Adam Hultqvist
, Alberto Garcia-Fernandez
, Aman Anand
, Amran Al-Ashouri
, Anders Hagfeldt
, Andrea Crovetto
, Antonio Abate
, Antonio Ricciardulli
, Anuja Vijayan
, Ashish Kulkarni
, Assaf Anderson
, Barbara Darwich
, Bowen Yang
, Brendan Coles
, Carlo Perini
, Carolin Rehermann
, Daniel Ramirez
, David Fairen-Jimenez
, Diego Girolamo

Donglin Jia, Elena Avila, Emilio Juarez-Perez, Fanny Baumann, Florian Mathies, G. S. Gonzalez, Gerrit Boschloo, Giuseppe Nasti, Gopinath Paramasivam, Guillermo Martinez-Denegri, Hampus Nasstrom, Hannes Michaels, Hans Kobler, Hua Wu, Iacopo Benesperi, M. Dar, Ilknur Pehlivan, Isaac Gould, Jacob Vagott, Janardan Dagar, Jeff Kettle, Jie Yang, Jinzhao Li, Joel Smith, Jorge Pascual, Jose Jeronimo-Rendon, Juan Montoya, Juan-Pablo Correa-Baena, Junming Qiu, Junxin Wang, Kari Sveinbjornsson, Katrin Hirselandt, Krishanu Dey, Kyle Frohna, Lena Mathies, Luigi Castriotta, Mahmoud Aldamasy, Manuel Vasquez-Montoya, Marco Ruiz-Preciado, Marion Flatken, Mark Khenkin, Max Grischek, Mayank Kedia, Michael Saliba, Miguel Anaya, Misha Veldhoen, Neha Arora, Oleksandra Shargaieva, Oliver Maus, Onkar Game, Ori Yudilevich, Paul Fassl, Qisen Zhou, Rafael Betancur, Rahim Munir, Rahul Patidar, Samuel Stranks, Shahidul Alam, Shaoni Kar, Thomas Unold, Tobias Abzieher, Tomas Edvinsson, Tudur David, Ulrich Paetzold, Waqas Zia, Weifei Fu, Weiwei Zuo, Vincent Schroder, Wolfgang Tress, Xiaoliang Zhang, Yu-Hsien Chiang, Zafar Iqbal, Zhiqiang Xie, Eva Unger

Materials Science

Helmholtz-Zentrum Berlin
Uppsala University
Royal Institute of Technology
Friedrich Schiller University Jena
Ecole Polytechnique Federale de Lausanne
TU Darmstadt
Forschungszentrum Julich
Tel Aviv University
Swansea University
Georgia Institute of Technology
University of Antioquia
University of Cambridge
University of Rome La Sapienza
University of Naples Federico II
Beihang University
University of Zaragoza
Lund University
Meritorious Autonomous University of Puebla
Technical University of Berlin
Barcelona Institute of Science & Technology
National Renewable Energy Laboratory
University of Colorado Boulder
University of Glasgow
Linkoping University
University of Oxford
University of Sheffield
University of Stuttgart
Martin Luther University Halle-Wittenberg
University of Rome Tor Vergata
Egyptian Petroleum Research Institute
Karlsruhe Institute of Technology
University of Potsdam
King Abdullah University of Science & Technology
Nanyang Technological University
Bangor University
Humboldt University of Berlin
University of Applied Sciences of Eastern Switzerland
University of York

Research output: Contribution to journal › Article › peer-review

298 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 language	American English
Pages (from-to)	107-115
Number of pages	9
Journal	Nature Energy
Volume	7
DOIs	https://doi.org/10.1038/s41560-021-00941-3
State	Published - 2022

NLR Publication Number

NREL/JA-5K00-81870

Keywords

datasets
perovskites
solar cells

Access to Document

10.1038/s41560-021-00941-3

Cite this

Jacobsson, T., Hultqvist, A., Garcia-Fernandez, A., Anand, A., Al-Ashouri, A., Hagfeldt, A., Crovetto, A., Abate, A., Ricciardulli, A., Vijayan, A., Kulkarni, A., Anderson, A., Darwich, B., Yang, B., Coles, B., Perini, C., Rehermann, C., Ramirez, D., Fairen-Jimenez, D., ... Unger, E. (2022). An Open-Access Database and Analysis Tool for Perovskite Solar Cells Based on the FAIR Data Principles. Nature Energy, 7, 107-115. https://doi.org/10.1038/s41560-021-00941-3

@article{e5b5f5005cfd4cfe9268e3c24fc19f6f,

title = "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.",

keywords = "datasets, perovskites, solar cells",

author = "T. Jacobsson and Adam Hultqvist and Alberto Garcia-Fernandez and Aman Anand and Amran Al-Ashouri and Anders Hagfeldt and Andrea Crovetto and Antonio Abate and Antonio Ricciardulli and Anuja Vijayan and Ashish Kulkarni and Assaf Anderson and Barbara Darwich and Bowen Yang and Brendan Coles and Carlo Perini and Carolin Rehermann and Daniel Ramirez and David Fairen-Jimenez and Diego Girolamo and Donglin Jia and Elena Avila and Emilio Juarez-Perez and Fanny Baumann and Florian Mathies and Gonzalez, \{G. S.\} and Gerrit Boschloo and Giuseppe Nasti and Gopinath Paramasivam and Guillermo Martinez-Denegri and Hampus Nasstrom and Hannes Michaels and Hans Kobler and Hua Wu and Iacopo Benesperi and M. Dar and Ilknur Pehlivan and Isaac Gould and Jacob Vagott and Janardan Dagar and Jeff Kettle and Jie Yang and Jinzhao Li and Joel Smith and Jorge Pascual and Jose Jeronimo-Rendon and Juan Montoya and Juan-Pablo Correa-Baena and Junming Qiu and Junxin Wang and Kari Sveinbjornsson and Katrin Hirselandt and Krishanu Dey and Kyle Frohna and Lena Mathies and Luigi Castriotta and Mahmoud Aldamasy and Manuel Vasquez-Montoya and Marco Ruiz-Preciado and Marion Flatken and Mark Khenkin and Max Grischek and Mayank Kedia and Michael Saliba and Miguel Anaya and Misha Veldhoen and Neha Arora and Oleksandra Shargaieva and Oliver Maus and Onkar Game and Ori Yudilevich and Paul Fassl and Qisen Zhou and Rafael Betancur and Rahim Munir and Rahul Patidar and Samuel Stranks and Shahidul Alam and Shaoni Kar and Thomas Unold and Tobias Abzieher and Tomas Edvinsson and Tudur David and Ulrich Paetzold and Waqas Zia and Weifei Fu and Weiwei Zuo and Vincent Schroder and Wolfgang Tress and Xiaoliang Zhang and Yu-Hsien Chiang and Zafar Iqbal and Zhiqiang Xie and Eva Unger",

year = "2022",

doi = "10.1038/s41560-021-00941-3",

language = "American English",

volume = "7",

pages = "107--115",

journal = "Nature Energy",

issn = "2058-7546",

publisher = "Springer Nature",

}

Jacobsson, T, Hultqvist, A, Garcia-Fernandez, A, Anand, A, Al-Ashouri, A, Hagfeldt, A, Crovetto, A, Abate, A, Ricciardulli, A, Vijayan, A, Kulkarni, A, Anderson, A, Darwich, B, Yang, B, Coles, B, Perini, C, Rehermann, C, Ramirez, D, Fairen-Jimenez, D, Girolamo, D, Jia, D, Avila, E, Juarez-Perez, E, Baumann, F, Mathies, F, Gonzalez, GS, Boschloo, G, Nasti, G, Paramasivam, G, Martinez-Denegri, G, Nasstrom, H, Michaels, H, Kobler, H, Wu, H, Benesperi, I, Dar, M, Pehlivan, I, Gould, I, Vagott, J, Dagar, J, Kettle, J, Yang, J, Li, J, Smith, J, Pascual, J, Jeronimo-Rendon, J, Montoya, J, Correa-Baena, J-P, Qiu, J, Wang, J, Sveinbjornsson, K, Hirselandt, K, Dey, K, Frohna, K, Mathies, L, Castriotta, L, Aldamasy, M, Vasquez-Montoya, M, Ruiz-Preciado, M, Flatken, M, Khenkin, M, Grischek, M, Kedia, M, Saliba, M, Anaya, M, Veldhoen, M, Arora, N, Shargaieva, O, Maus, O, Game, O, Yudilevich, O, Fassl, P, Zhou, Q, Betancur, R, Munir, R, Patidar, R, Stranks, S, Alam, S, Kar, S, Unold, T, Abzieher, T, Edvinsson, T, David, T, Paetzold, U, Zia, W, Fu, W, Zuo, W, Schroder, V, Tress, W, Zhang, X, Chiang, Y-H, Iqbal, Z, Xie, Z & Unger, E 2022, 'An Open-Access Database and Analysis Tool for Perovskite Solar Cells Based on the FAIR Data Principles', Nature Energy, vol. 7, pp. 107-115. https://doi.org/10.1038/s41560-021-00941-3

TY - JOUR

T1 - An Open-Access Database and Analysis Tool for Perovskite Solar Cells Based on the FAIR Data Principles

AU - Jacobsson, T.

AU - Hultqvist, Adam

AU - Garcia-Fernandez, Alberto

AU - Anand, Aman

AU - Al-Ashouri, Amran

AU - Hagfeldt, Anders

AU - Crovetto, Andrea

AU - Abate, Antonio

AU - Ricciardulli, Antonio

AU - Vijayan, Anuja

AU - Kulkarni, Ashish

AU - Anderson, Assaf

AU - Darwich, Barbara

AU - Yang, Bowen

AU - Coles, Brendan

AU - Perini, Carlo

AU - Rehermann, Carolin

AU - Ramirez, Daniel

AU - Fairen-Jimenez, David

AU - Girolamo, Diego

AU - Jia, Donglin

AU - Avila, Elena

AU - Juarez-Perez, Emilio

AU - Baumann, Fanny

AU - Mathies, Florian

AU - Gonzalez, G. S.

AU - Boschloo, Gerrit

AU - Nasti, Giuseppe

AU - Paramasivam, Gopinath

AU - Martinez-Denegri, Guillermo

AU - Nasstrom, Hampus

AU - Michaels, Hannes

AU - Kobler, Hans

AU - Wu, Hua

AU - Benesperi, Iacopo

AU - Dar, M.

AU - Pehlivan, Ilknur

AU - Gould, Isaac

AU - Vagott, Jacob

AU - Dagar, Janardan

AU - Kettle, Jeff

AU - Yang, Jie

AU - Li, Jinzhao

AU - Smith, Joel

AU - Pascual, Jorge

AU - Jeronimo-Rendon, Jose

AU - Montoya, Juan

AU - Correa-Baena, Juan-Pablo

AU - Qiu, Junming

AU - Wang, Junxin

AU - Sveinbjornsson, Kari

AU - Hirselandt, Katrin

AU - Dey, Krishanu

AU - Frohna, Kyle

AU - Mathies, Lena

AU - Castriotta, Luigi

AU - Aldamasy, Mahmoud

AU - Vasquez-Montoya, Manuel

AU - Ruiz-Preciado, Marco

AU - Flatken, Marion

AU - Khenkin, Mark

AU - Grischek, Max

AU - Kedia, Mayank

AU - Saliba, Michael

AU - Anaya, Miguel

AU - Veldhoen, Misha

AU - Arora, Neha

AU - Shargaieva, Oleksandra

AU - Maus, Oliver

AU - Game, Onkar

AU - Yudilevich, Ori

AU - Fassl, Paul

AU - Zhou, Qisen

AU - Betancur, Rafael

AU - Munir, Rahim

AU - Patidar, Rahul

AU - Stranks, Samuel

AU - Alam, Shahidul

AU - Kar, Shaoni

AU - Unold, Thomas

AU - Abzieher, Tobias

AU - Edvinsson, Tomas

AU - David, Tudur

AU - Paetzold, Ulrich

AU - Zia, Waqas

AU - Fu, Weifei

AU - Zuo, Weiwei

AU - Schroder, Vincent

AU - Tress, Wolfgang

AU - Zhang, Xiaoliang

AU - Chiang, Yu-Hsien

AU - Iqbal, Zafar

AU - Xie, Zhiqiang

AU - Unger, Eva

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - datasets

KW - perovskites

KW - solar cells

U2 - 10.1038/s41560-021-00941-3

DO - 10.1038/s41560-021-00941-3

M3 - Article

SN - 2058-7546

VL - 7

SP - 107

EP - 115

JO - Nature Energy

JF - Nature Energy

ER -

An Open-Access Database and Analysis Tool for Perovskite Solar Cells Based on the FAIR Data Principles

Abstract

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Keywords

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