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 Girolamo; Donglin 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

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. 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

KAUST Solar Center

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

143 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	English (US)
Journal	NATURE ENERGY
DOIs	https://doi.org/10.1038/s41560-021-00941-3
State	Published - Dec 13 2021

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/s41560-021-00941-3

https://repository.kaust.edu.sa/bitstream/10754/675177/1/s41560-021-00941-3.pdf

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Jacobsson, T. J., Hultqvist, A., Garcia-Fernandez, A., Anand, A., Al-Ashouri, A., Hagfeldt, A., Crovetto, A., Abate, A., Ricciardulli, A. G., Vijayan, A., Kulkarni, A., Anderson, A. Y., Darwich, B. P., Yang, B., Coles, B. L., Perini, C. A. R., Rehermann, C., Ramirez, D., Fairen-Jimenez, D., ... Unger, E. (2021). An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles. NATURE ENERGY. https://doi.org/10.1038/s41560-021-00941-3

@article{27f982471f254a4d9051ac1538a6935d,

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.",

author = "Jacobsson, {T. Jesper} and Adam Hultqvist and Alberto Garcia-Fernandez and Aman Anand and Amran Al-Ashouri and Anders Hagfeldt and Andrea Crovetto and Antonio Abate and Ricciardulli, {Antonio Gaetano} and Anuja Vijayan and Ashish Kulkarni and Anderson, {Assaf Y.} and Darwich, {Barbara Primera} and Bowen Yang and Coles, {Brendan L.} and Perini, {Carlo A. R.} and Carolin Rehermann and Daniel Ramirez and David Fairen-Jimenez and {Di Girolamo}, Diego and Donglin Jia and Elena Avila and Juarez-Perez, {Emilio J.} and Fanny Baumann and Florian Mathies and Gonzalez, {G. S. Anaya} 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 Dar, {M. Ibrahim} and Pehlivan, {Ilknur Bayrak} and Gould, {Isaac E.} and Vagott, {Jacob N.} and Janardan Dagar and Jeff Kettle and Jie Yang and Jinzhao Li and Smith, {Joel A.} and Jorge Pascual and Jeronimo-Rendon, {Jose J.} and Montoya, {Juan Felipe} 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 Castriotta, {Luigi A.} and Aldamasy, {Mahmoud H.} and Manuel Vasquez-Montoya and Ruiz-Preciado, {Marco A.} and Flatken, {Marion A.} 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 Game, {Onkar S.} and Ori Yudilevich and Paul Fassl and Qisen Zhou and Rafael Betancur and Rahim Munir and Rahul Patidar and Stranks, {Samuel D.} and Shahidul Alam and Shaoni Kar and Thomas Unold and Tobias Abzieher and Tomas Edvinsson and David, {Tudur Wyn} and Paetzold, {Ulrich W.} and Waqas Zia and Weifei Fu and Weiwei Zuo and Schroeder, {Vincent R. F.} and Wolfgang Tress and Xiaoliang Zhang and Yu-Hsien Chiang and Zafar Iqbal and Zhiqiang Xie and Eva Unger",

note = "KAUST Repository Item: Exported on 2022-01-28 Acknowledgements: The core funding of the project has been received from the European Union{\textquoteright}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{\textquoteright}s cloud resources. We acknowledge Helmholtz-Zentrum Berlin f{\"u}r 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{\textquoteright}s Horizon 2020 research and innovation programme (grant no. 764787, EU Project {\textquoteleft}MAESTRO{\textquoteright}), (grant no. 756962, ERC Project {\textquoteleft}HYPERION{\textquoteright}), (grant no. 764047, EU Project {\textquoteleft}ESPResSo{\textquoteright} 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{\textquoteright}s Horizon 2020 research and innovation programme (Marie Sk{\l}odowska-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 {\textquoteleft}111{\textquoteright} project (grant no. B17002), the US Department of Energy{\textquoteright}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 Cientif{\'i} 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).",

year = "2021",

month = dec,

day = "13",

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

language = "English (US)",

journal = "NATURE ENERGY",

issn = "2058-7546",

publisher = "Nature Publishing Group",

}

Jacobsson, TJ, Hultqvist, A, Garcia-Fernandez, 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, Gonzalez, GSA, Boschloo, G, Nasti, G, Paramasivam, G, Martinez-Denegri, G, Nasstrom, H, Michaels, H, Kobler, H, Wu, H, Benesperi, I, Dar, MI, Pehlivan, IB, Gould, IE, Vagott, JN, Dagar, J, Kettle, J, Yang, J, Li, J, Smith, JA, Pascual, J, Jeronimo-Rendon, JJ, Montoya, JF, Correa-Baena, J-P, Qiu, J, Wang, J, Sveinbjornsson, K, Hirselandt, K, Dey, K, Frohna, K, Mathies, L, Castriotta, LA, Aldamasy, MH, Vasquez-Montoya, M, Ruiz-Preciado, MA, Flatken, MA, Khenkin, M, Grischek, M, Kedia, M, Saliba, M, Anaya, M, Veldhoen, M, Arora, N, Shargaieva, O, Maus, O, Game, OS, 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, Schroeder, VRF, Tress, W, Zhang, X, Chiang, Y-H, Iqbal, Z, Xie, Z & Unger, E 2021, 'An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles', NATURE ENERGY. 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. Jesper

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 Gaetano

AU - Vijayan, Anuja

AU - Kulkarni, Ashish

AU - Anderson, Assaf Y.

AU - Darwich, Barbara Primera

AU - Yang, Bowen

AU - Coles, Brendan L.

AU - Perini, Carlo A. R.

AU - Rehermann, Carolin

AU - Ramirez, Daniel

AU - Fairen-Jimenez, David

AU - Di Girolamo, Diego

AU - Jia, Donglin

AU - Avila, Elena

AU - Juarez-Perez, Emilio J.

AU - Baumann, Fanny

AU - Mathies, Florian

AU - Gonzalez, G. S. Anaya

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. Ibrahim

AU - Pehlivan, Ilknur Bayrak

AU - Gould, Isaac E.

AU - Vagott, Jacob N.

AU - Dagar, Janardan

AU - Kettle, Jeff

AU - Yang, Jie

AU - Li, Jinzhao

AU - Smith, Joel A.

AU - Pascual, Jorge

AU - Jeronimo-Rendon, Jose J.

AU - Montoya, Juan Felipe

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 A.

AU - Aldamasy, Mahmoud H.

AU - Vasquez-Montoya, Manuel

AU - Ruiz-Preciado, Marco A.

AU - Flatken, Marion A.

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 S.

AU - Yudilevich, Ori

AU - Fassl, Paul

AU - Zhou, Qisen

AU - Betancur, Rafael

AU - Munir, Rahim

AU - Patidar, Rahul

AU - Stranks, Samuel D.

AU - Alam, Shahidul

AU - Kar, Shaoni

AU - Unold, Thomas

AU - Abzieher, Tobias

AU - Edvinsson, Tomas

AU - David, Tudur Wyn

AU - Paetzold, Ulrich W.

AU - Zia, Waqas

AU - Fu, Weifei

AU - Zuo, Weiwei

AU - Schroeder, Vincent R. F.

AU - Tress, Wolfgang

AU - Zhang, Xiaoliang

AU - Chiang, Yu-Hsien

AU - Iqbal, Zafar

AU - Xie, Zhiqiang

AU - Unger, Eva

N1 - 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).

PY - 2021/12/13

Y1 - 2021/12/13

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.

UR - http://hdl.handle.net/10754/675177

UR - https://www.nature.com/articles/s41560-021-00941-3

UR - http://www.scopus.com/inward/record.url?scp=85121364579&partnerID=8YFLogxK

U2 - 10.1038/s41560-021-00941-3

DO - 10.1038/s41560-021-00941-3

M3 - Article

SN - 2058-7546

JO - NATURE ENERGY

JF - NATURE ENERGY

ER -

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

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